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Joway Health Industries Group Inc. – ‘8-K’ for 1/23/23 – ‘EX-96.1’

On:  Friday, 1/27/23, at 12:24pm ET   ·   For:  1/23/23   ·   Accession #:  1213900-23-5558   ·   File #:  333-108715

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  As Of               Filer                 Filing    For·On·As Docs:Size             Issuer                      Filing Agent

 1/27/23  Joway Health Inds Group Inc.      8-K:1,2,3,5 1/23/23   29:16M                                    EdgarAgents LLC/FA

Current Report   —   Form 8-K

Filing Table of Contents

Document/Exhibit                   Description                      Pages   Size 

 1: 8-K         Current Report                                      HTML    495K 
 2: EX-2.1      Share Exchange Agreement, by and Between Joway      HTML    136K 
                Health Group Industries Inc., International Cumo                 
                Mining Corporation, and the Shareholders of                      
                International Cumo Mining Corporation, Dated                     
                January 23, 2023                                                 
 3: EX-4.3      Form 2021 Warrant                                   HTML     72K 
 4: EX-4.4      Form of Replacement Note                            HTML     56K 
 5: EX-4.5      Form of Replacement Warrant                         HTML     41K 
 6: EX-4.6      Form Lock-Up Agreement                              HTML     26K 
 7: EX-4.7      Form of 8.5% Secured Non-Convertible Note           HTML     59K 
 8: EX-4.8      7.5% Secured Note Indenture, Dated August 24,       HTML    844K 
                2021, by and Between International Cumo Mining                   
                Corporation and Computershare Trust Company of                   
                Canada                                                           
 9: EX-10.1     Form Incentive Stock Option Agreement               HTML     41K 
10: EX-10.2     Debt Assignment and Release Agreement, Dated        HTML     21K 
                January 23, 2023, by and Among Joway Health                      
                Industries Group, Inc. and Jhp Holdings, Inc                     
11: EX-10.3     Option Agreement, Dated October 13, 2004, by and    HTML     74K 
                Between Cumo Molybdenum Mining Inc. and Mosquito                 
                Consolidated Gold Mines Limited, as Amended                      
                January 14, 2005                                                 
12: EX-10.4     Mining Claims Agreement, Dated July 25, 2017, by    HTML    261K 
                and Among American Cumo Mining Corporation,                      
                International Cumo Mining Corporation, Cumo                      
                Molybdenum Mining Inc., Western Geoscience Inc.,                 
                and Thomas Evans                                                 
13: EX-10.5     Special Warranty Deed, Between American Cumo        HTML     17K 
                Mining Corporation and International Cumo Mining                 
                Corporation                                                      
14: EX-10.6     Loan Agreement, Dated October 31, 2014, as Amended  HTML    129K 
                March 26, 2015, and January 29, 2016, by and                     
                Between International Cumo Mining Corporation and                
                La Familia Ii LLC                                                
15: EX-10.7     Minesense Amenability Test Proposal, Dated August   HTML     78K 
                29, 2022, by and Between Minesense Technologies                  
                Ltd. and International Cumo Mining Corporation                   
16: EX-14.1     Code of Ethics                                      HTML     32K 
17: EX-23.1     Consent of Geologic Systems Ltd. Regarding the      HTML     13K 
                Cumo Project                                                     
18: EX-96.1     Technical Report Summary and Resource Estimate,     HTML   3.48M 
                the Cumo Project, Boise National Forest, Boise                   
                County, Idaho, United States                                     
19: EX-99.1     Financial Statements of Businesses Acquired and     HTML    875K 
                Pro Forma Financial Information                                  
24: R1          Cover                                               HTML     51K 
27: XML         IDEA XML File -- Filing Summary                      XML     23K 
25: XML         XBRL Instance -- ea171459-8k_jowayhealth_htm         XML     22K 
26: EXCEL       IDEA Workbook of Financial Reports                  XLSX      8K 
21: EX-101.DEF  XBRL Definitions -- gtvi-20230123_def                XML     78K 
22: EX-101.LAB  XBRL Labels -- gtvi-20230123_lab                     XML    106K 
23: EX-101.PRE  XBRL Presentations -- gtvi-20230123_pre              XML     75K 
20: EX-101.SCH  XBRL Schema -- gtvi-20230123                         XSD     19K 
28: JSON        XBRL Instance as JSON Data -- MetaLinks               27±    42K 
29: ZIP         XBRL Zipped Folder -- 0001213900-23-005558-xbrl      Zip   2.08M 


‘EX-96.1’   —   Technical Report Summary and Resource Estimate, the Cumo Project, Boise National Forest, Boise County, Idaho, United States

Exhibit Table of Contents

Page (sequential)   (alphabetic) Top
 
11st Page  –  Filing Submission
"The author provides these recommendations for the next steps of geotechnical assessment
"The following is original text for the current PEA

This Exhibit is an HTML Document rendered as filed.  [ Alternative Formats ]



Exhibit 96.1

 

 

S-K 1300 Technical Report Summary

 

 
 

     Prepared for

 

   International CuMo Mining Corp.

 

 
 

 

     Prepared by

 

     Geologic Systems Ltd.

     January 2023

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

 

 

  S-K 1300 Technical Report Summary
   
   
   
   
   
  January 2023  
  Prepared for Prepared by  
     
 

International CuMo Mining Corp.

Suite #2300–550 Burrard Street
Vancouver, BC V6C 2B5
Canada

 

Geoogic Systems Ltd.
514 East Columbia St
New Westminster, BC V3L 3X7
Canada  
 

Tel: +1 604 689 7902

Web: www.cumoco.com

Tel: +1 604 681 4196
Web: www.srk.com  
     
  Authored By:  
     
  Shaun M Dykes, M. Sc. (Eng), P.Geo. Geologic Systems Ltd..

 

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Acronyms and Abbreviations

 

Distance     NaCN sodium cyanide
µm micron (micrometre)   Other  
mm millimetre   °F degrees Fahrenheit
cm centimetre   °C degrees Celsius
m metre   cfm cubic feet per minute
km km   elev elevation
in inch   m AMSL metres elev. above mean sea level
ft foot   hp horsepower
Area     hr hour
m2 square metre   s second (unit of time)
km2 square km   kW kilowatt
ac acre   kWh kilowatt hour
Ha hectare   M Million or mega
Volume     mph miles per hour
L litre   ppb parts per billion
m3 cubic metre   ppm parts per million
ft3 cubic foot   s.g. or SG specific gravity
bcm bank cubic metres   V volt
Mbcm million bcm   W watt
bcy bank cubic yards   $k thousand US dollars
Mbcy million bcy   $M million US dollars
Mass     $Bn billion US dollars
kg kilogram   tph or stph short tons per hour
g gram   tpd or stpd short tons per day
g/t g/ metric tonne   mtpa or mstpa million short tons per annum
t or st short ton   Ř diameter
kst thousand short tons   Acronyms  
Mst million short tons   SRK SRK Consulting (Canada) Inc.
Bst billion short tons   CIM Canadian Institute of Mining
lb pounds   NI 43-101 National Instrument 43-101
mmlbs millions of lbs   ABA Acid- base accounting
oz troy ounce   LOM life of mine
wmt wet metric tonne   AP Acid potential
dmt dry metric tonne   NP Neutralization potential
Pressure     ML/ARD Metal leaching/ acid rock drainage
psi pounds per square inch   PAG Potentially acid generating
Pa pascal   non-PAG Non-potentially acid generating
kPa kilopascal   RC reverse circulation
MPa megapascal   IP induced polarization
Elements and Compounds     COG cut-off grade
Mo molybdenum   NSR net smelter return
MoS2 molybdenite   NPV net present value
Cu copper      
Au gold   Conversion Factors  
Ag silver   1 ton 2,000 lb
S sulfur   1 tonne 2,204.62 lb
CN cyanide   1 troy oz 31.10348 g

 

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Table of Contents

 

1 Executive Summary 1
  1.1 Introduction 1
  1.2 Property Description, History, and Ownership 2
  1.3 Exploration 2
  1.4 Geology and Mineralization 2
  1.5 Mineral Resource Estimate 3
  1.6 Project Development and Operations 6
  1.7 Social and Environmental 7
  1.8 Project Costs 8
  1.9 Project Economics 8
    1.9.1 Cautionary Statements 8
    1.9.2 Economic Summary 8
  1.10 Project Risks 11
    1.10.1 Mineral Resource 11
    1.10.2 Mining 11
    1.10.3 Mineral Sorting 11
    1.10.4 Processing 11
    1.10.5 Project Infrastructure 11
    1.10.6 Permitting 11
    1.10.7 Economic Risks 12
  1.11 Project Opportunities 13
    1.11.1 Mineral Resource 13
    1.11.2 Mining 13
    1.11.3 Mineral Sorting 14
    1.11.4 Processing 14
    1.11.5 Project Infrastructure 14
    1.11.6 Economic Opportunities 14
  1.12 Conclusions and Recommendations 16
    1.12.1 Mineral Resources 16
    1.12.2 Pit Geotechnical 16
    1.12.3 Mining 17
    1.12.4 Mineral Sorting 17
    1.12.5 Processing 17
    1.12.6 Tailings Management 18
    1.12.7 Permitting 18
    1.12.8 Plan and Budget for Additional Work 18

 

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2 Introduction and Terms of Reference 20
  2.1 Issuer 20
  2.2 Terms of Reference 20
  2.3 Responsibility 20
  2.3 Sources of Information 21
  2.4 Site Visit 21
  2.5 Previous Reports 21
       
3 Property Description and Location 22
  3.1 General 22
  3.2 Mineral Tenure 22
  3.3 Ownership Agreements 22
  3.4 Environmental 26
  3.4.1 Environmental Regulations 26
  3.4.2 Environmental Liabilities 26
  3.4.3 Other Significant Factors and Risks 26
  3.5 Permits 27
       
4 Accessibility, Climate, Local Resources, Infrastructure and Physiography 28
     
5 History 29
  5.1 Exploration 29
  5.2 Historical Resource Estimate 32
       
6 Geological Setting and Mineralization 33
  6.1 Regional Geology 33
  6.2 Local Geology 36
  6.3 Property Geology 37
  6.4 Mineralization 40
    6.4.1 Description of Mineralized Zones 40
    6.4.2 Property Mineralization 40
         
7 Exploration And Drilling 46
  7.1 Drilling and Trenching 47
  7.2 Sampling and True Thickness Adjustments 47
  7.3 2006 Drill Program 47
  7.4 2007 to 2011 Drill Program 47
  7.5 2012 Drill Program 55
  7.6 Metal Equivalent Calculations 57
       
8 Sample Preparation, Analyses, and Security 59
  8.1 General sampling 59
  8.2 Density Determinations 60

 

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  8.3 Assay Techniques   61
  8.4 Security   61
  8.5 QA/QC Programs   62
    8.5.1 Historical Checks 62
    8.5.2 Blanks 63
    8.5.3 Internal Lab Standards 64
    8.5.4 Internal Pulp Checks 64
    8.5.5 CuMoCo Standards 65
    8.5.6 Coarse Reject Duplicates 68
  8.6 Survey Validation   68
  8.7 Verification of Drilling Data   68
       
9 Data Verification   68
     
10 Mineral Processing and Metallurgical Testing   69
  10.1 Metallurgical Testing (2009, 2015)   69
    10.1.1 Introduction   69
    10.1.2 Sample Selection   70
    10.1.3 Test-work Program   70
    10.1.4 Conceptual Study Flotation Test-work   71
    10.1.5 Grade and Recovery Predictions   74
  10.2 Mineral Sorting     76
    13.2.1 Particle Sorting   76
    13.2.2 Bulk Sorting   77
         
11 Mineral Resource Estimates   81
  11.1 Introduction   81
  11.2 Data Analysis   81
  11.3 50-Foot Composites   86
  11.4 Variography   88
  11.5 Block Model and Grade Estimation   89
  11.6 Bulk Density   92
  11.7 Reasonable Prospects of Eventual Economic Extraction   92
  11.8 Resource Classification   93
  11.9 Recovered Value   95
  11.10 Mineral Resource Estimate   97
       
12 Mineral Reserve Estimates   99
     
13 Mining Methods   99
  13.1 Mining Approach   99
  13.2 Pit Optimization   99
    13.2.1 Pit Geotechnical Considerations   99

 

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    13.2.2 Bulk Sorting 103
    13.2.3 Particle Sorting 105
    13.2.4 Pit Optimization Input Parameters 106
    13.2.5 Optimization Results 107
    13.2.6 Pit Shell Selection 109
  13.3 Waste Rock Facilities and Stockpile Design 111
    13.3.1 Charlotte’s Gulch Waste Rock Facility 113
  13.4 Production Schedule 113
  13.5 Equipment Selection and Fleet Requirements 114
       
14 Recovery Methods 116
  14.1 General 116
  14.2 Bulk Sorting 116
  14.3 Particle Sorting 119
  14.4 Mill Design Criteria Summary 119
  14.5 Plant Design Basis 121
  14.6 Throughput/Mill Feed and Availability 121
  14.7 Processing Strategy 121
  14.8 Flow Sheet Development and Equipment Sizing 121
  14.9 Unit Process Selection 121
      123
15 Project Infrastructure  
  15.1 General Layout 125
  15.2 Road Access 125
  15.3 Rail Access 125
  15.4 Electrical Power 126
  15.5 Water Supply 126
  15.6 Tailings Storage Facility 126
    15.6.1 Tailings Embankment 127
    15.6.2 Tailings Impoundment 128
         
16 Market Studies and Contracts 128
  16.1 Market Analysis 128
    16.1.1 Treatment and refining costs 128
    16.1.2 Metal Prices 128
         
17 Environmental Studies, Permitting, and Social or Community Impact 129
  17.1 Environmental and Permitting 129
    17.1.1 Past and Present Permitting for Exploration Project 129
  17.2 Permitting for Mining Operations 131
    17.2.1 Federal Authorizations and Permits 131
    17.2.2 Idaho State Authorizations and Permits 134

 

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    17.2.3 Boise County Permits 134
  17.3 Monitoring 134
  17.4 Reclamation 135
    17.4.1 Federal Reclamation Performance Bond 135
    17.4.2 State Reclamation Performance Bond 135
  17.5 Social and Community Impact 136
  17.6 Potential Issues 137
  17.7 Mine Closure – General Discussion 138
       
18 Capital and Operating Costs 140
  18.1 Capital Cost Estimate 140
    18.1.1 Mining Capital Costs 141
    18.1.2 Processing Capital Costs 141
    18.1.3 Tailings Storage Facilities Capital Costs 144
    18.1.4 Capital Cost Estimate Exclusions 145
  18.2 Operating Cost Estimate 146
    18.2.1 Mine Operating Costs 146
    18.2.2 Sort Plant Operating Costs 147
    18.2.3 Mill Operating Costs 147
    18.2.4 General Site and Administrative Costs 147
         
19 Economic Analysis 148
  19.1 Cautionary Statements 148
    19.1.1 Certainty of Preliminary Economic Assessment 148
    19.1.2 Mineral Resources are Not Reserves 148
  19.2 General 148
  19.3 Summary 148
  19.4 Project Cashflows 151
  19.5 Production Schedule 151
  19.6 Pricing Assumptions 156
  19.7 Processing Recovery Assumptions 156
  19.8 Capital Costs 156
  19.9 Operating Costs 158
  19.10 Royalties 158
  19.11 Taxation 158
  19.12 Off-Site Costs 158
  19.13 Sensitivity Analysis 158
       
20 Adjacent Properties 162
     
21 Other Relevant Data and Information 162
     
22 Interpretations and Conclusions 163

 

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  22.1 Conclusions 163
    22.1.1 Mineral Resource 163
    22.1.2 Mining 163
    22.1.3 Bulk Sorting 163
    22.1.4 Particle Sorting 163
    22.1.5 Project Economics 164
  22.2 Project Risks 164
    22.2.1 Mineral Resource 164
    22.2.2 Mining 164
    22.2.3 Mineral Sorting 164
    22.2.4 Processing 164
    22.2.5 Project Infrastructure 165
    22.2.6 Permitting 165
    22.2.7 Economic Risks 165
  22.3 Project Opportunities 166
    22.3.1 Mineral Resource 166
    22.3.2 Mining 166
    22.3.3 Mineral Sorting 167
    22.3.4 Processing 167
    22.3.5 Project Infrastructure 167
    22.3.6 Economic Opportunities 167
         
23 Recommendations 169
  23.1 Mineral Resources 169
  23.2 Pit Geotechnical 169
  23.3 Mining 170
  23.4 Mineral Sorting 170
  23.5 Processing 170
  23.6 Tailings Management 171
  23.7 Permitting 171
  23.8 Plan and Budget for Additional Work 171
       
24 References 173
     
25 Reliance on Other Experts 175

 

Appendix 1: Claims List 176
Appendix 2: Re-Splits of Rejects 182
Appendix 3: Drill Holes used in Resource Estimate 185
Appendix 4: Semi-variograms 187
Appendix 5: Scatter Plots showing Results from Historic Data Verification 212

 

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List of Figures

 

Figure 3-1: CuMo property location map 24
Figure 3-2: Claim location map for the CuMo property 25
Figure 6-1: Tectonic map of the western United States 34
Figure 6-2: Distribution of Idaho-Montana porphyry deposits in relation to the great falls tectonic zone 35
Figure 6-3: Geology of Boise County, Idaho, showing geological setting of CuMo deposit 37
Figure 6-4: Core photographs of felsic porphyry types recognized in drill core 39
Figure 6-5: Photographs of mineralized core from the CuMo 2006 program, hole C06-28 41
Figure 6-6: Photographs of molybdenite mineralization in 2008 drill core 42
Figure 6-7: Surface distribution of quartz and epidote veinlets and metal zonation 43
Figure 6-8: Geochemical distribution of Mo in surface rock chip samples 44
Figure 6-9: Geochemical distribution of Cu in surface rock chip samples 45
Figure 7-1: Map showing the location of completed and proposed drill holes 50
Figure 7-2: CuMo deposit Q-Q cross section 51
Figure 7-3: CuMo deposit H-H cross section 52
Figure 8-1: MoS2 in blank samples from CuMoCo drill programs at CuMo 63
Figure 8-2: Cu in blank samples from 2008 drill program CuMo 63
Figure 8-3: Scatter plot of Chemex internal duplicates for Mo ppm (Mo metal) 64
Figure 8-4: Scatter plot of Chemex internal duplicates for Cu ppm 64
Figure 8-5: Results for Standard S1 65
Figure 8-6: Results for Standard S2 66
Figure 8-7: Results for Standard S3 67
Figure 10-1: Particle sort XRF test results 77
Figure 10-2: Impact of scale on distribution heterogeneity 78
Figure 10-3: Impact of scale on “Waste in Ore” ratio 79
Figure 10-4: CuMo composite-sample relationship 80
Figure 11-1: Contact plots for oxide-Cu-Ag Zone contact 83
Figure 11-2: Scatter plot showing Re vs MoS2 in the Cu-Mo Zone 91
Figure 11-3: Plan views of the measured, indicated and inferred blocks at CuMo 95
Figure 13-1: Empirical pit wall chart with the Snowden (2012) walls added 101
Figure 13-2: Particle sort analysis splitting between Mo-rich and Mo-poor samples 106
Figure 13-3: Pit optimization results 109
Figure 13-4: CuMo pit phase shell outlines 110
Figure 13-5: CuMo pit phase shell east-west cross-section A-A’ 110
Figure 13-6: CuMo pit phase shell north-south cross-section B-B’ 111
Figure 13-7: CuMo mine layout 112
Figure 13-8: CuMo LOM production schedule 114
Figure 14-1: Schematic of three-stage bulk sorting plant with particle sorting 117
Figure 14-2: Schematic of bulk sorting diversion system 118
Figure 14-3: CuMo process schematic 122
Figure 15-1: CuMo Clear Creek TSF and WRF buttress 127
Figure 15-2: Cross-section A-A’ through Clear Creek TSF and WRF buttress 127
Figure 19-1: Project cashflow summary chart 151
Figure 19-2: Metal production schedule graph 155
Figure 19-3: Metals price sensitivity – net present value 161
Figure 19-4: Single factor sensitivity – net present value 162

 

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List of Tables

 

Table 1-1: Metal prices for resource estimation 4
Table 1-2: CuMo metal recoveries by zone 4
Table 1-3: Measured resource within pit shell 5
Table 1-4: Indicated resources 5
Table 1-5: Measured and indicated resources 6
Table 1-6: Inferred resources (molybdenum, copper, silver, rhenium and sulfur) 6
Table 1-7a: Summary of Project Economics with Inferred Resources 9
Table 1-8b: Summary of Project Economics without Inferred Resources 10
Table 1-9: Budget for additional work 19
Table 2-1: QP responsibilities 21
Table 5-1: Summary of historic drilling 30
Table 5-2: List of historic drill holes 31
Table 5-3: CuMo historical results, 1982 Amax block model 32
Table 6-1: Summary of rock units present at the CuMo property 38
Table 7-1: Summary of holes drilled by CuMoCo 47
Table 7-2: Summary of 2006 to 2011 diamond drilling at CuMo 48
Table 7-3: Significant intersections from CuMo drilling 53
Table 7-4: Summary of 2012 diamond drilling 55
Table 7-5: Significant intersections from 2011-2012 CuMo drilling 56
Table 7-6: Recoverable equivalent grades for significant intersections from 2011-2012 CuMo drilling 56
Table 7-7: Metal prices used to calculate copper and molybdenum equivalent 57
Table 7-8: Metallurgical recoveries used to calculate copper and MoS2 equivalent 57
Table 7-9: Terms used in formulae for equivalent grade calculations 58
Table 8-1: Certified standards prepared for CuMo project 60
Table 8-2: Density data example 60
Table 8-3: Density measurement results summary 61
Table 10-1: Summary of comminution test-work data 71
Table 10-2: Baseline flotation results for CuMo composite samples 72
Table 10-3: Cleaner flotation results for CuMo composite samples 73
Table 10-4: Locked cycle test results 74
Table 10-5: Tungsten recovery test results 74
Table 10-6: Grade/recovery predictions for CuMo 75
Table 11-1: Summary of MoS2 and Cu contents 82
Table 11-2: Summary of assay statistics for Cu and MoS2 sorted by zone 82
Table 11-3: Summary of assay statistics for Ag and W sorted by zone 84
Table 11-4: Summary of capping levels by mineralized zone 85
Table 11-5: Summary of capped assay statistics for Cu and MoS2 sorted by zone 86
Table 11-6: Summary of capped assay statistics for Ag and W sorted by zone 86
Table 11-7: Summary of 50 ft composite statistics 87
Table 11-8: Parameters for semi-variogram models at CuMo 88

 

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Table 11-9: Estimation boundary summary 89
Table 11-10: Summary of kriging search parameters for each mineralized zone 90
Table 11-11: Summary of density parameters for each mineralized zone 92
Table 11-12: Metal prices for resources 95
Table 11-13: Metal recoveries sorted by mineralized zone 96
Table 11-14: Measured resources 97
Table 11-15: Indicated resources 97
Table 11-16: Measured and indicated resources 98
Table 11-17: Inferred resources (molybdenum, copper, silver, rhenium and sulfur) 98
Table 13-1: Summary of the reviewed data types 100
Table 13-2: Pit slope design details in Snowden (2012) 100
Table 13-3: Pit optimization input parameters 106
Table 13-4: CuMo mined quantities 109
Table 13-5: CuMo primary mine equipment fleet 115
Table 14-1: Summary of the process plant design criteria (150 ktpd). 120
Table 17-1: Major permits and authorizations that may be required1 132
Table 18-1: Summary of initial capital costs 140
Table 18-2: Mine primary equipment capital costs 141
Table 18-3: Summary of plant initial capital cost estimate 142
Table 18-4: Summary of roaster initial capital cost estimate 143
Table 18-5: Summary of LOM operating costs 146
Table 18-6: Estimated plant average operating costs 147
Table 19-1a: Summary of potential project economics with Inferred resources 149
Table 19-2b: Summary of potential project economics without inferred resources 150
Table 19-3: LOM annual project cash flow 152
Table 19-4: LOM annual project cash flow – continued 153
Table 19-5: Production schedule summary 154
Table 19-6: Pricing assumptions for economic analysis 156
Table 19-7: Processing recovery assumptions used for economic analysis 156
Table 19-8: Capital cost summary 157
Table 19-9: Operating costs summary 158
Table 19-10: Two-factor sensitivity (NPV(8%) in $M) – Capex and Opex 159
Table 19-11: Two-factor sensitivity (NPV(8%) in $M) – Capex and metal prices 159
Table 19-12: Two-factor sensitivity (NPV(8%) in $M) – Opex and metal prices 160
Table 19-13: Sensitivity (NPV(8%) in $M) – Individual metal prices 160
Table 23-1: Budget for additional work 172

 

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1Executive Summary

 

The CuMo Project (Project) is designed to develop Cumo, Copper-Molybdenum-Silver- Rhenium deposit, and provide long-term employment and business opportunities for a rural area in Idaho, funded by an economically viable project. It would become one of the largest open pit Copper-Molybdenum mines in the United States and producer of Copper, Molybdenum, Silver and Rhenium , critical and strategic minerals.

 

This Technical Report Summary (TRS or Report) provides an overview of the Project and includes recommendations for future work. It discloses, at an Initial Assessment level, information about the geology, mineralization, exploration potential, Mineral Resources, mining methods, processing methods, infrastructure, social and economic benefits, environmental protection, cleanup, and repair of historical impacts, permitting, reclamation and closure concepts, capital and operating costs and an economic analysis for the Project.

 

For readers to fully understand the information in this Report, they should read this Report in its entirety, including all qualifications, assumptions and exclusions that relate to the information set out in this Report that qualifies the technical information contained in the Report. The Report is intended to be read as a whole, and sections should not be read or relied upon out of context. The technical information in the Report is subject to the assumptions and qualifications contained in the Report. The economic and technical analyses included in this Report provide only a summary of the potential Project economics based on the assumptions set out herein. There is no guarantee that the Project economics described herein can be achieved.

 

1.1Introduction

 

This technical report summary (TRS or Report) was commissioned by the registrant, International CuMo Mining Corp. (CuMoCo), for its Copper-Molybdenum-Silver Project (CuMo or Project) In Boise County, Idaho for the purpose of reporting an initial assessment. CuMoCo is an Idaho company exploring options for the development and restoration of the project area.

 

This Report is the inaugural TRS developed for the CuMo Project in accordance with United States SEC S-K 1300 regulations. The TRS summarizes a 2020 Preliminary Economic Analysis (PEA) Technical Report (SRK, 2020) that was completed under Canadian Securities Administrators National Instrument (NI) 43-101 guidelines and published June , 2020 with the following notable differences:

 

oAn additional set of summary cash flows were produced that do not include inferred resources

 

oThe TRS is classified as an Initial Assessment study whereas the 2020 PEA was classified as a Preliminary Economic Analysis .

 

Site visits for the purposes of personal inspections of the CuMo property have been undertaken by Shaun Dykes, Geologic QP, 2005 to 2022; Mr. Gary Giroux, resource QP (June 2015); Mr. Bob McCarthy, SRK mining QP (October 2018); Mr. Andy Thomas, SRK pit geotechnical QP (October 2018), and Mr. Calvin Boese, SRK waste management QP (October 2018).

 

Note: Throughout this report, all currency is United States dollars and all units are imperial, unless otherwise specifically noted.

 

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1.2Property Description, History, and Ownership

 

The CuMo deposit is a molybdenum-copper deposit situated 37 miles, equivalent to 60 kilometers (km), northeast of Boise, Idaho, USA. The project is situated in the southern section of the Boise Mountains which are characterized by north-northwest trending mountain ranges separated by alluvial filled valleys. Topographic elevations on the CuMo claims range from 5,400 feet (1,700 meters) to 7,100 ft (2,400 m) above sea level.

 

Situated in a historic lode gold camp with a recorded production of 2.8 million ounces, molybdenite (MoS2) mineralization was not discovered in this area until 1963 by Amax Exploration (Amax). After conducting surface sampling in 1964, Amax relinquished rights to the property. It was subsequently explored by Curwood Mining Company, Midwest Oil Corporation (later Amoco Minerals Company), Amax (a second time), and then Climax Molybdenum Company (a subsidiary of Amax Inc.). The Historic Drilling was done between 1969 and 1982 for a total of 10,981 m (36,026 ft) in 23 diamond drill holes and three reverse circulation holes. Note: Reverse circulation holes are not used in the resource calculation.

 

The property was re-staked in 1998 by CuMo Molybdenum Mining Inc. and optioned to Mosquito Consolidated Gold Mines Ltd., (now CuMoCo) in 2004.

 

Presently, the CuMo project is held by a wholly owned USA subsidiary of CuMoCo, Interntaional CuMo Mining Corporation (CuMoCo).

 

1.3Exploration

 

After CuMoCo had optioned the property in 2004, Kobex Resources Ltd. (Kobex) optioned it from CuMoCo in 2005 and commenced drilling in 2006. Kobex drilled one complete hole and 50% of a second hole 1,087 m (3,565 ft). In late 2006, CuMoCo resumed control and completed the 2006 to 2011 exploration drilling programs, including the incomplete hole by Kobex. CuMoCo completed 20,187 m (66,230 ft) of drilling in 32 diamond drill holes in that program. During 2012, CuMoCo drilled nine additional holes totaling 4,713 m (15,464 ft), aimed at improving the resource categorization and gaining a better understanding of the extent of the deposit.

 

1.4Geology and Mineralization

 

The CuMo deposit is located at the southwestern end of the Idaho-Montana Porphyry Belt. Igneous complexes in this belt are interpreted to be related to an Eocene, intra-arc rift, and are characterized by alkalic rocks in the northeast, mixed alkalic and calc-alkalic rocks in the middle, and calc-alkaline rocks in the southwest. The CuMo deposit is typical of large, dispersed, low grade molybdenum ± copper porphyry deposits that are associated with hybrid magmas typified by fluorine-poor, differentiated monzogranite igneous complexes. Due to their large size, the total contained economic molybdenum in these types of deposits can be equivalent to or exceed that of high-grade molybdenum deposits.

 

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CuMoCo’s work has resulted in the interpretation and modelling of three distinct mineralized zones within the deposit. These zones were previously interpreted by Amax as distinct shells that were produced by separate intrusions. Re-interpretation of down-hole histograms for copper (Cu), silver (Ag) and molybdenite (MoS2[1]) suggests the mineralized zones are part of a single, large, concentrically zoned system with an upper copper-silver zone (named Cu-Ag Zone), underlain by a transitional copper-molybdenum zone (named Cu-Mo Zone), in turn underlain by a lower molybdenum-rich zone (named Mo Zone). Three-dimensional modeling of the above zonation indicates the current area being drilled is located on the north side of a large system extending 4.5 km (15,000 ft) in diameter, of which 1.5 km (3,000 ft) has been drilled.

 

1.5Mineral Resource Estimate

 

The Mineral Resource estimates for the Project were estimated in conformity with Committee for Mineral Reserves International Reporting Standards (CRIRSCO) “International Reporting Template for the public reporting of Exploration Targets, Exploration Results, Mineral Resources and Mineral Reserves” as adopted by the International Council on Mining & Metals November 2019. The mineral resources are reported in in accordance with §§229.1300 through 229.1305 (subpart 229.1300 of Regulation S-K).

 

The resource estimate was based on a total of 65 diamond drill holes totaling 36,166 m (118,654 ft). Note that the three reverse circulation holes were not used in the resource estimate. Nine of the 65 diamond drill holes were completed in 2012. As no additional drilling has been completed since the 2015 resource was estimated, it is considered current.

 

A geological model separating the CuMo Deposit into four mineralize zones with an oxidized layer on top was developed by CuMoCo geologists. In addition, major fault blocks were identified both by assay data and by marker beds. Assays were tagged as one of four mineralized zones: a near surface Cu-Ag Zone, a deeper Cu-Mo Zone and a still deeper Mo Zone and an underlying potassic-silica zone (MSI). Statistical analysis of each variable in each zone led to the capping of assays based on the grade distribution within each zone. Uniform down-hole 50 feet (ft) composites were produced for each zone. For variography, the major post mineral fault blocks were rotated back to their original position using marker beds. Semi-variograms were produced for each variable within each zone based on the samples’ original pre-fault locations. A block model with block dimensions of 50 ft was superimposed on the mineralized zones. Grade was interpolated into blocks by ordinary kriging. A tonnage factor was determined for each zone based on multiple specific gravity determinations. Individual blocks were classified as measured, indicated or inferred resource based on their location relative to drill-hole composites.

 

To take into account the four primary potentially economic minerals estimated, a form of metal equivalent or recoverable value (RCV) was calculated for each block based on reasonable commodity prices and estimated recoveries in each of five zones; the oxide zone (a combination of altered Cu-Ag and Cu-Mo Zones), Cu-Ag Zone, Cu-Mo Zone, Mo Zone and MSI Zone. The 2015 resource estimate is summarized below for RCV cut-offs.

 

 

1The convention for the CuMo project has been to measure percent elemental molybdenum (%Mo) in assays and to calculate %MoS2 by multiplying %Mo by 1.6681. Both %Mo and %MoS2 are stored in the project’s database, and the latter, %MoS2, is used in resource estimates and mine planning.

 

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The metal prices used for resource estimation are provided in Table 1-1.

 

Table 1-1: Metal prices for resource estimation

 

Metal Price
Copper (Cu) (per lb) $3.00
Molybdenum oxide (MoO3) (per lb) $10.00
Molybdenum Metal (Mo) (per lb) $15.00
Silver (Ag) (per oz) $12.50

 

The metal recoveries used were a function of mineralized zones as follows in Table 1-2.

 

Table 1-2: CuMo metal recoveries by zone

 

Zone Cu Recovery (%) Mo Recovery (%) Ag Recovery (%)
OX 60 80 65
Cu-Ag 68 86 75
Cu-Mo 85 92 78
Mo 72 95 55
MSI 72 95 55

 

In 2012, Snowden Mining Consultants (Snowden) used Geovia’s WhittleTM pit optimizer to determine a constraining open pit shell for the CuMo deposit. Optimization parameters were from Thompson Creek mine (a comparable open pit molybdenum project located in Idaho). The optimization parameters included mill feed, mining and processing costs of $7.52 per processed ton, overall pit slope angles of 45°, metallurgical recoveries as shown above and appropriate dilution and offsite costs and royalties. The commodity prices used in 2012 by Snowden for restraining the resource were Mo at $25/lb, Cu at $3/lb, Ag at $20/oz and W at $10/lb. This pit constraint is still valid.

 

Since the infill drill holes completed in 2012 were all within the conceptual pit, this resource update uses the Snowden 2012 optimum pit shell to constrain the estimate.

 

In the mineral resource estimate tables below (Table 1-3, Table 1-4, Table 1-5, and Table 1-6), the base case $5.00/t RCV cut-off is highlighted and is selected based on operating costs and the results of grade improvement using a mineral sorting process. The $5.00 cut-off is suggested to separate waste from material that is fed into the sorters. From the sorters, only mill feed above an economic cut-off would be sent for immediate processing.

 

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It should be noted that since the convention for the CuMo project has been to work with %MoS2, as calculated from measured %Mo, the %MoS2 values in the resource estimate tables are 1.6681 times greater than %Mo.

 

An estimate for rhenium (Re) and sulfur (S) associated with the MoS2 was completed using linear regression of MoS2 vs. Re and MoS2 vs S to show the average grades of Re and S that would be contained with MoS2 within each block. The Re and S were not used to determine the RCV value of resources shown in Table 1-3, Table 1-4, Table 1-5, and Table 1-6 below.

 

Note: Regression analysis is not industry standard practice in calculating overall resources. However, the fact that rhenium is entirely and almost all the sulfur are contained within the material containing MoS2, (note; a minor amount of sulfur is contained in pyrite) which has been estimated by kriging, means that regression is a valid method of obtaining a reasonable estimate of the rhenium and sulfur contents at the level of precision of this study. Due to the large number of samples involved in the regression analysis, the confidence of this particular regression estimate is comparable to that obtained by the method of ordinary kriging.

 

Table 1-3: Measured resource within pit shell

 

Cut-off

RCV

($)

 

  Grade > RCV Cut-off Contained Metal

Quantity

(Mt)

MoS2

(%)

Cu

(%)

Ag

(ppm)

RCV

($)

Re

(ppm)

S

(%)

Mo

(mmlbs)

Cu

(mmlbs)

Ag

(Moz)

2.5 308.4 0.079 0.074 2.09 17.32 0.029 0.233 292.1 456.5 18.8
5.0 297.2 0.081 0.076 2.09 17.83 0.03 0.229 288.6 451.7 18.1
7.5 282 0.085 0.076 2.06 18.48 0.031 0.223 287.4 428.7 16.9
12.5 227.9 0.097 0.075 2 20.50 0.036 0.217 265 341.8 13.3
15.0 195.4 0.105 0.072 1.9 21.71 0.039 0.212 246 281.3 10.8
17.5 159.7 0.115 0.067 1.8 23.04 0.043 0.207 220.1 213.9 8.4
20.0 122.9 0.125 0.063 1.7 24.50 0.047 0.202 184.1 154.8 6.1

Source: Giroux et al, 2015, modified 2019

 

Table 1-4: Indicated resources

 

Cut-off

RCV

($)

 

  Grade  > RCV Cut-off Contained Metal

Quantity

(Mt)

MoS2

(%)

Cu

(%)

Ag

(ppm)

RCV

($)

Re

(ppm)

S

(%)

Mo

(mmlbs)

Cu

(mmlbs)

Ag

(Moz)

2.5 2216.1 0.049 0.079 2.48 12.32 0.018 0.277 1301.9 3501.4 160.3
5.0 1972.3 0.053 0.085 2.57 13.40 0.019 0.269 1253.3 3352.9 147.8
7.5 1708.3 0.059 0.088 2.59 14.55 0.021 0.258 1208.4 3006.5 129
12.5 1050.6 0.076 0.09 2.55 17.67 0.027 0.235 957.4 1891.1 78.1
15.0 798.5 0.083 0.09 2.56 19.06 0.03 0.231 794.6 1437.2 59.6
17.5 541.6 0.093 0.088 2.49 20.60 0.034 0.226 603.9 953.2 39.3
20.0 301.3 0.106 0.082 2.36 22.49 0.039 0.219 383 494.2 20.7

Source: Giroux et al, 2015, modified 2019

 

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Table 1-5: Measured and indicated resources

 

Cut-off

RCV

($)

 

  Grade  > RCV Cut-off Contained Metal

Quantity

(Mt)

MoS2

(%)

Cu

(%)

Ag

(ppm)

RCV

($)

Re

(ppm)

S

(%)

Mo

(mmlbs)

Cu

(mmlbs)

Ag

(Moz)

2.5 2524.6 0.053 0.079 2.43 12.93 0.019 0.272 1604.3 3988.9 178.9
5.0 2269.6 0.057 0.084 2.5 13.98 0.021 0.264 1551.1 3812.9 165.5
7.5 1990.4 0.063 0.086 2.51 15.10 0.022 0.253 1503.5 3423.5 145.7
12.5 1278.6 0.079 0.087 2.46 18.17 0.029 0.232 1211.1 2224.8 91.7
15.0 993.9 0.088 0.087 2.43 19.58 0.032 0.227 1048.7 1729.5 70.4
17.5 701.4 0.098 0.083 2.33 21.16 0.036 0.221 824.1 1164.2 47.7
20.0 424.3 0.112 0.077 2.17 23.07 0.041 0.214 569.8 653.4 26.9

Source: Giroux et al, 2015, modified 2019

 

Table 1-6: Inferred resources (molybdenum, copper, silver, rhenium and sulfur)

 

Cut-off

RCV

($)

 

  Grade  > RCV Cut-off Contained Metal

Quantity

(Mt)

MoS2

(%)

Cu

(%)

Ag

(ppm)

RCV

($)

Re

(ppm)

S

(%)

Mo

(mmlbs)

Cu

(mmlbs)

Ag

(Moz)

2.5 3373.6 0.04 0.057 1.93 9.55 0.014 0.304 1617.9 3845.9 189.9
5.0 2556.6 0.048 0.067 2.13 11.48 0.017 0.282 1471.4 3425.9 158.8
7.5 1996 0.056 0.07 2.23 13.07 0.02 0.261 1340.1 2794.4 129.8
12.5 996.4 0.078 0.064 1.98 16.74 0.028 0.231 931.8 1275.4 57.5
15.0 637 0.086 0.074 2.16 18.63 0.03 0.244 656.8 942.7 40.1
17.5 384.8 0.094 0.084 2.34 20.49 0.032 0.259 433.7 646.4 26.3
20.0 190.2 0.109 0.078 2.37 22.80 0.037 0.262 248.6 296.8 13.1

 

1.6Project Development and Operations

 

CuMo is to be developed as an open pit mining operation, mining waste and providing feed to a primary crusher which then supplies crushed material to a mineral sorting plant. The sorting plant consists of both bulk and particle sorting and produces feed for a mill and flotation plant. The project plan includes an off-site roaster to convert molybdenum concentrate (as MoS2) to saleable MoO3. Major by-products are copper and silver, and minor by-products are rhenium and sulfuric acid. Potential for the production of tungsten as a minor by-product may also exist.

 

The proposed operation is for a 150,000 short tons per day (stpd) feed rate to the mill. This requires a sort feed rate averaging about 200,000 stpd, with a maximum of about 265,000 stpd. Mining rates to achieve this feed average about 400,00 stpd, reaching a maximum mining rate of 500,000 stpd.

 

The overall process is for material to be mined at the mining rate, and a grade control cut-off is applied to that material to determine what material is sent to the sort plant (sorter feed); the remaining material is sent to waste dumps. The sort plant consists of an initial three-stage bulk sort process, where for each stage, a pair of cut-offs is applied to produce mill feed, waste, and middlings streams. The middlings stream for each sort stage becomes the feed for the next sort stage. After the third sort, the middlings are sent to a stockpile which is the feed source for a particle sorting process. The product from the particle sort process is combined with the mill feed product of the bulk sort process in a coarse material stockpile for feed to the mill.

 

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The mill is a conventional semi-autogenous grinding circuit and flotation circuit creating an interim copper-molybdenum concentrate which is then further processed in a molybdenum flotation circuit to separate copper and molybdenum concentrates. Molybdenum concentrate is transported to the project roaster for production of MoO3. Copper concentrate is shipped to market.

 

The tailings storage facility (TSF) will be located at the headwaters of the Clear Creek watershed, in a natural basin formed by the surrounding ridgeline. The TSF will have capacity to store the 1,582M tons (~900M m3) of tailings produced over the 28 year mine life, with an ultimate crest elevation of 6,950 ft. Tailings containment will be provided by the natural topography on the valley sides and an engineered dam that will be buttressed by the Clear Creek waste rock facility (WRF) constructed immediately downstream of the TSF. A starter dam will be constructed to elevation 6300 ft to facilitate early mine production, followed by an additional five raises spread out over the life of the mine.

 

1.7Social and Environmental

 

At this time, no issues were identified that would materially impact the ability to eventually extract mineral resources at the project.

 

The proposed mine will be located on public land administered by the United States Forest Service (USFS) and private land owned and controlled by ICMC. The permitting path will involve multiple state and federal agencies. Permits likely to be required for the project are presented in Table 20-1. An environmental impact statement will be required at the level of NEPA analysis for mine development, operations, and closure. Reclamation bonds will be required by both federal and state agencies. The reclamation liability for the proposed mine will have to be determined based on third-party costs, and the bond amount will have to be posted using an approved financial instrument

 

ICMC has initiated consultation with various stakeholders namely: government officials at all levels and local communities in regard to the potential social and community impacts or improvements that may occur as the project progresses. All groups are provided regular updates as the project is proceeding. Local communities and officials have come out in strong support of the project and are actively working with the project on both the Grimes Creek project and future planning (Hilscher et al, 2018).

 

The mine will be located in an area used for weekend summer dispersed recreation and fall big-game hunting and is well-known in the Boise area. Organized environmental groups such as the Idaho Conservation League and Sierra Club are keeping their constituents informed so as to coordinate opposition to the project. As such, well-funded, organized opposition to mining activities should be anticipated.

 

At the current time the United States Forest Service (USFS) is working on a Supplemental Red Line Environmental Assessment that will allow the Company to proceed to the next round of drilling and road access construction on the property. The authorization is expected in 2020, and no surface disturbing activities can proceed on the property until the authorization is received. This is the only ongoing permitting activity.

 

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1.8Project Costs

 

Operating costs were derived from the mining operation based on comparison to similar size operations and the authors’ experience. Modifications were made to account for varying haul profiles that are expected during the mine life. General and administrative costs were similarly based on similar size operations and the authors’ experience.

 

Processing costs were based on prior work by Ausenco (Ausenco, 2009) and compare well with more recent studies and so continue to apply.

 

Capital costs for mining were based on evaluation of mining equipment fleet requirements and application of unit equipment prices used in recent studies. Pre-production mining (pre-stripping) was also capitalized for the purpose of economic analysis. Capital costs for the sorting plant were estimated based on its material handling focus (conveyors).

 

The capital costs for infrastructure and mineral processing from the earlier Ausenco work (Ausenco, 2009) were reviewed and were deemed reasonable in comparison to more recent studies of large porphyry projects though some cost escalation was applied.

 

1.9Project Economics

 

1.9.1Cautionary Statements

 

Certainty of Initial Assessment

 

The Initial Assessment is preliminary in nature, that it includes inferred mineral resources that are considered too speculative geologically to have the economic considerations applied to them that would enable them to be categorized as mineral reserves, and there is no certainty that initial assessment will be realized.

 

1.9.2Economic Summary

 

The project as presented and under the current assumptions has the potential to be economic. The after-tax NPV is positive and is robust across a range of sensitivities with respect to capital costs, operating costs and revenue (price). A summary of the project economics is shown in Table 1-7a and b. Two tables are presented one with the inferred resource included one without. Due to the ore sorting and central location of the pit a large portion of the inferred component of the resource is located on the outer edges in the waste blocks. What inferred that is located within the mineable resource has been converted to waste.

 

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Table 1-7a: Summary of Project Economics with Inferred Resources

 

Project Metric Units Value
Pre-Tax NPV @ 5% $M 2,470
Pre-Tax NPV @ 8% $M 800
Pre-Tax NPV @ 10% $M 113
Pre-Tax IRR % 10%
After-Tax NPV @ 5% $M 1,709
After-Tax NPV @ 8% $M 356
After-Tax NPV @ 10% $M -205
After-Tax IRR % 9%
Undiscounted After-Tax Cash Flow (LOM) $M 7,032
Payback Period from Start of Processing years 8.0
Initial Capital Expenditure $M 3,071
LOM Sustaining Capital Expenditure $M 972
Closure $M 150
LOM C-1 Cash Costs After By-product Credits $/lb Mo 4.67
Nominal Flotation Process Capacity stpd 150,000
Mine Life (years @ > 90% of full production) years 28
LOM Flotation Mill Feed kst 1,582,526
LOM Grades
   Molybdenite (MoS2) % 0.074%
   Molybdenum (elemental Mo) % 0.044%
   Copper % 0.105%
   Silver grams per tonne 3.00
LOM Waste Volume kst 2,425,101
LOM Strip Ratio (Waste:Sort Feed) ratio 1.11
Mass Pull to Mill from Sort Feed % 72%
LOM Strip Ratio (Waste:Mill Feed) ratio 1.53
First Five Years Average Annual Metal Production
Molybdenum (Mo) klbs/yr 34,976
Copper klbs/yr 93,394
Silver kounces/yr 3,940
LOM Average Annual Metal Production
Molybdenum (Mo) klbs/yr 43,072
Copper klbs/yr 84,229
Silver kounces/yr 3,575
LOM Average Mill Process Recovery
Molybdenum (Mo) % contained metal 91.87%
Copper % contained metal 76.33%
Silver % contained metal 70.42%

 

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Table 1-8b: Summary of Project Economics without Inferred Resources

 

Project Metric Units Value
Pre-Tax NPV @ 5% $M 2,328
Pre-Tax NPV @ 8% $M 771
Pre-Tax NPV @ 10% $M 102
Pre-Tax IRR % 10%
After-Tax NPV @ 5% $M 1,674
After-Tax NPV @ 8% $M 356
After-Tax NPV @ 10% $M -225
After-Tax IRR % 9%
Undiscounted After-Tax Cash Flow (LOM) $M 6,575
Payback Period from Start of Processing years 8.0
Initial Capital Expenditure $M 3,071
LOM Sustaining Capital Expenditure $M 972
Closure $M 150
LOM C-1 Cash Costs After By-product Credits $/lb Mo 4.67
Nominal Flotation Process Capacity stpd 150,000
Mine Life (years @ > 90% of full production) years 28
LOM Flotation Mill Feed kst 1,582,526
LOM Grades
   Molybdenite (MoS2) % 0.076%
   Molybdenum (elemental Mo) % 0.045%
   Copper % 0.108%
   Silver grams per tonne 3.10
LOM Waste Volume kst 2,55,706
LOM Strip Ratio (Waste:Sort Feed) ratio 1.11
Mass Pull to Mill from Sort Feed % 72%
LOM Strip Ratio (Waste:Mill Feed) ratio 1.53
First Five Years Average Annual Metal Production
Molybdenum (Mo) klbs/yr 37,640
Copper klbs/yr 90,756
Silver kounces/yr 3,731
LOM Average Annual Metal Production
Molybdenum (Mo) klbs/yr 34,980
Copper klbs/yr 84,233
Silver kounces/yr 3,375
LOM Average Mill Process Recovery
Molybdenum (Mo) % contained metal 91.87%
Copper % contained metal 76.33%
Silver % contained metal 70.42%

 

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1.10Project Risks

 

1.10.1Mineral Resource

 

The mineral resource is supported by exploration results, test-work and modelling. As with any mineral resource estimate there is uncertainty inherent in the estimation process. There is a risk that the grades and metallurgical recoveries may be lower than currently modelled. There is also a risk that the interpretation of the results is inaccurate and that less mineralized material is present than is currently modelled.

 

Additional exploration and test-work will potentially reduce this risk as the project is advanced.

 

1.10.2Mining

 

The mining concepts for CuMo are largely proven. The adoption of autonomous equipment does possess some risk in that federal and local regulators may require extensive efforts by proponents to ensure the safety of their operations.

 

The CuMo open pit is envisioned to be a large, deep pit (up to 3500 ft deep). With this comes the potential geotechnical risk for wall failures. While the author has assumed a relatively flat overall wall angle for the study (37°), there may be risks associated with yet unknown rock mass or structural geology conditions that may require consideration of even flatter slopes in places.

 

1.10.3Mineral Sorting

 

The technology envisioned in this study for bulk sorting, prompt gamma neutron activation analysis (PGNAA), has had limited application to molybdenum-copper deposits. While demonstrated for some low-grade copper deposits, testing is required to verify that molybdenum is measurable at the specific grades envisioned for CuMo.

 

As with bulk sorting technology, additional testing is required to better estimate the final results expected from particle sorting.

 

1.10.4Processing

 

There is a risk that achieved recoveries could be lower than estimated, that throughputs will not be achieved and that costs may be higher than modelled. The process recovery, throughput and cost estimates will be refined as part of the pre-feasibility study.

 

1.10.5Project Infrastructure

 

The planned mine will be a green-fields site and requires construction of mine and process-related infrastructure including the TSF. Access roads in and around the project site will be required. There is a risk that the designs, costs and implementation timelines for the provision of this infrastructure may not be as anticipated, increasing costs and schedule.

 

1.10.6Permitting

 

At this time, no issues were identified that would materially impact the ability to eventually extract mineral resources at the project. Previous environmental analyses have identified the presence of a rare plant Sacajawea’s bitterroot (Lewisia sacajawa), and potential habitat for Endangered Species Act wildlife, and USFS sensitive species. These potential issues will need to be analyzed and disclosed in NEPA documents and potentially mitigated.

 

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The mine will be located in an area used for weekend summer dispersed recreation and fall big-game hunting and is well-known in the Boise area. Organized environmental groups such as the Idaho Conservation League and Sierra Club are keeping their constituents informed citing issues of potential pollution of the Boise river which supplies drinking water to the city of Boise. As such, well-funded, organized opposition to mining activities should be anticipated.

 

Under the 1872 Mining Law as amended, ICMC has the legal right to develop the mineral resources on their mining claims. The USFS has a requirement to manage ICMC’s activities in accordance with its mining regulations at 36 CFR 228A and must ensure compliance with the requirements of the National Environmental Policy Act. As defined in law and regulations, the USFS is limited in that it may not deny ICMC’s mining plan of operations provided that the activities proposed are reasonably incident to mining, not needlessly destructive, and comply with applicable federal, state, and local laws and regulations. The USFS does not have the authority to impose unreasonable requirements that would have the effect of denying the statutory right to explore and develop the mineral resource, provided the mining plan of operations otherwise meets the intent of applicable laws and regulations (USFS 2018).

 

There is a risk that the mining plan of operations would identify and characterize issues that may lengthen the timeline and increase the costs of the permitting the project. Note that the STUDY described in this report does not quantify the timeline and costs for the pre-construction and permitting activities.

 

Table 20-1 in Section 20.2 summarizes the federal, state, and local authorizations and permits that will be required for mining. No applications for mining authorizations and permits have been filed with federal, state, and local agencies. Reclamation bonds will have to be posted with the state of Idaho and the USFS.

 

1.10.7Economic Risks

 

Project Strategy Risk

 

Overall, the author considers that the likelihood of a major revision to project strategy emerging from the pre-feasibility study to be moderate. Mineral sorting as contemplated in this study is not a mature technology, and there is a risk that the assumptions used may not prove accurate. Elimination of the mineral sorting pre-process from the strategy has the potential to materially reduce the economic proposition of the project.

 

Commodity Price Risk

 

There is a risk that commodity prices may not be consistent with assumptions made in this study. In particular, molybdenum, which contributes to the majority of the project value is historically subject to significant price volatility.

 

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Capital Cost Risk

 

There is a risk that the capital required to build and operate the project may be higher than that forecast in this study. The author recommends that the precision of the estimates be refined at the pre-feasibility study and feasibility study before commitment to project construction is made.

 

Operating Cost Risk

 

There is a risk that the operating costs incurred to operate the project may be higher than that forecast in this study. The author notes that variability in the operating cost drivers (productivity, input costs and labor costs) over time is expected. The analysis assumes constant conditions but is best thought of as reflecting an expectation of average costs. The author recommends that the precision of the estimates be refined in the pre-feasibility and feasibility studies before commitment to project construction is made.

 

Schedule Risk

 

There is a risk that the schedule to build the project may vary from that assumed in the study. This is an asymmetrical risk, with significantly more downside scope than upside. This risk is exacerbated by the seasonality of the location, with somewhat difficult construction conditions occurring in some winter months. Small delays have the potential to be more significant than, might otherwise be the case, if they push critical path activities into winter months, thereby incurring a much longer delay.

 

Process Recovery Risk

 

There is a risk that achieved recoveries could be lower than estimated, reducing the revenue and economic returns of the project. The process recovery estimates will be refined as part of the feasibility study.

 

Permitting and Pre-construction Schedule Risk

 

This was not explicitly considered for the purposes of this study in the economic analysis as the analysis is conducted only from the commencement of construction. Nevertheless, the risk of longer-than-anticipated permitting timeline will reduce the project value is considered from “today” forward.

 

1.11Project Opportunities

 

1.11.1Mineral Resource

 

The exploration drilling and thus mineral resource model for CuMo is constrained on the western extents of the deposit. There is potentially an opportunity with increased exploration to expand the resource to the west, thus offering either more process feed within the current envisioned open pit or increasing the size of the open pit to the west.

 

1.11.2Mining

 

With increased knowledge of the rock mass and structural geology, through additional geotechnical field programs and investigation, there is potential to steepen the wall angles for CuMo, potentially reducing and/or deferring some mining costs.

 

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Further consideration of high angle conveying solutions in combination with semi-mobile crushing and conveying (IPCC) concepts could highlight opportunities for cost savings at CuMo. Applying IPCC to sort feed, which needs to be crushed either way and is up to 50% of the mined material, poses the greatest opportunity.

 

1.11.3Mineral Sorting

 

The bulk sorting analysis was conducted on drill core that was sampled on a standard 10 ft interval. Thus, heterogeneity could only be assessed down to this scale. With multiple stage sorting and splitting, smaller size packets of material could be measured. As heterogeneity increases with reduced scale, there is potential that better segregation of waste, mill feed and middlings is possible. The opportunity would be for increased waste rejection and ultimately reduced middlings fractions to improve the economics of the project.

 

Ultimately, the potential for exploitation of the heterogeneity of the deposit may not be firmly quantified by way of studies conducted on exploration-level data. Much higher-resolution sampling and sorting may be possible at an operational scale. This has the potential to enhance project economics, but the quantum of that improvement is difficult to quantify.

 

The field of mineral-sorting is the subject of significant research and development. There exists an opportunity for this project to exploit improvements in this technology.

 

1.11.4Processing

 

Additional metallurgical work to determine optimum grind size (the current assessment is based on the finest grind tested to date), analyze recoveries of the various metals in the proposed unit operations, and analyze the effects of the higher grade coming from the mineral sorters on metal recoveries. This has the potential to improve project economics.

 

Optimization of reagents to reduce costs and improve metallurgical recoveries has the potential to improve recoveries.

 

There may be opportunity to economically recover tungsten from the mineralized material.

 

1.11.5Project Infrastructure

 

Further studies may allow for optimization of infrastructure design, costing and schedule. Whilst optimization is worth pursuing, the author views modification to the infrastructure concepts to be unlikely to materially affect the economic proposition at a strategic level for the project.

 

1.11.6Economic Opportunities

 

Real Option Value

 

In the case of a large, long-life open-pit mine such as is contemplated for the CuMo project, there exists significant optionality that can be leveraged to improve project cashflows and values. The simple sensitivity analysis conducted in Section 22.12 assumes a constant operating strategy, even as assumptions are varied. In practice, management has the option to alter strategy in response to those variations. Downsides can be mitigated, and upsides can be leveraged for greater returns.

 

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It is also expected that the mine would run using a dynamic cut-off policy where sorting strategies and cut-offs, mill-feed cut-offs, stockpiling strategies and mining rates will all be varied in real time to maximize returns as prices and costs vary. The benefits of this strategy are not reflected in the central estimate approach to valuation summarized in this report.

 

Project Strategy Opportunity

 

While the probability of a major revision to project strategy can be considered moderate, careful consideration and revision of the strategic decisions should be a feature of studies going forward. In particular, effort should be made to enhance the optionality of the project, particularly where this is a low-cost investment.

 

Commodity Price Opportunity

 

There is a risk that commodity prices may not be consistent with assumptions made in this study. Higher prices, both realized and forecast, would lead to re-optimization of the mine and processing plans with a potential to create additional value beyond that shown by the sensitivity analysis summarized in Section 22.11.

 

Capital Cost Opportunity

 

Opportunities to reduce or defer capital expenditure may be realized in future studies. Care should be taken when considering the relationship between lower capital opportunities and technical risk to the project.

 

Operating Cost Opportunity

 

Operating costs may be lower than forecast for the purposes of this study. Lower costs should feed into both strategic and short-term mine planning, to allow optimization of stockpiling, sorting and mill feed strategies.

 

Schedule Opportunity

 

This risk is highly asymmetric. The author considers that the opportunity to execute a significantly shorter construction program is low. The author cautions that optimized schedules with multiple critical or near-critical path activities will contain additional embedded risks.

 

Process Recovery Opportunity

 

Further metallurgical test-work will allow for optimization of the process flow sheet and plant design in the pre-feasibility and feasibility studies. Better than planned recoveries are possible.

 

Pit Slope Angle Opportunity

 

This is not considered to be a significant opportunity from an economic perspective. Strip ratios are relatively low, and incremental change in waste-movement volumes do not impact the overall project economics significantly.

 

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1.12Conclusions and Recommendations

 

1.12.1Mineral Resources

 

Exploration work consisting mainly of drilling is required to reach feasibility. It is estimated that a total of 33 additional holes for 71,000 ft plus an additional five geotechnical holes for 12,000 ft on the deposit plus additional 74,800 ft allocated to condemnation drilling of waste dump, mill site and tailings pond areas, making a total of 157,8000 ft of drilling budgeted. This drilling is broken into the following categories:

 

  In-fill drilling,

 

  Delineation drilling,

 

  Orientated geotechnical drilling – requires orientated core recovery system,

 

  Drilling for metallurgical sample – large diameter hole (PQ size) recommended, and

 

  Condemnation drilling waste dump, mill and tailings site.

 

The shortest time to complete this work will be two seasons using four drill rigs each season.

 

1.12.2Pit Geotechnical

 

The author provides these recommendations for the next steps of geotechnical assessment:

 

  Geotechnical database for quality assurance and quality check assessment (to address the inconsistencies and potentially poor data observed in the existing data set)

 

  Select a sub-set (~10%) of resource drill holes that give good spatial coverage of the proposed pit walls, and from multiple drilling campaigns

 

  Undertake quantitative basic geotechnical logging using the full core photographs of these drill holes (total core recovery (TCR), solid core recovery (SCR), rock quality designation (RQD) and fracture frequency - FF/m)

 

  FF/m vs RQD plots for both data-sets

 

  Comparison of the values in the database with the photo-logged values

 

  Assessment of differences in order to determine whether variance is systematic or random, and consequently decide on the respective approach to address (e.g. apply correction factor, re-logging more of the drill holes)

 

  Qualitative assessment of the rock susceptibility to deterioration by comparing core in the photos (fresh), to the current condition of the stored core (aged)

 

  Major structures assessment

 

  Log the photos of the core for major structures

 

  Develop conceptual integrated litho-structural 3-D model

 

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  Geotechnical-specific diamond-cored drill holes targeted to provide coverage of the proposed interim and ultimate pit walls, and compatible with the pit depth

 

  Geotechnical logging to RMRB89 system (historical logging to RMRL90 which is typically for underground mine applications)

 

  Field (empirical and point load) and laboratory (uniaxial and triaxial compressive strength and direct shear) testing of fresh core to determine intact rock strength

 

  Calculate RMR values and conduct comparison with lithology, alteration and mineralogy zones of the 3-D geology model to establish broad geotechnical domains

 

  Establish pit sectors and domain-representative sections to conduct pit slope stability analyses and select pit design angles

 

1.12.3Mining

 

The author recommends further study of the application of high angle conveying of sort feed at CuMo.

 

The author further recommends the continued consideration of autonomous haulage for CuMo, with commensurate refinement of performance parameters and costs.

 

1.12.4Mineral Sorting

 

The author recommends that CuMoCo engage with bulk sorting technology providers to advance testing of penetrative technologies (e.g. PGNAA) for the measurement of molybdenum in lower grade applications.

 

Additional scanning of the existing core to examine heterogeneity at a finer level than the 10 ft intervals used in the current study is recommended. Further testing of existing particle sorting technologies/machines to look for improvements in throughput is recommended.

 

1.12.5Processing

 

Metallurgical aspects to be studied were highlighted in the preliminary metallurgical analysis, some of which require larger samples to finalize the detailed flow sheet and determine how many cleaning stages will be required.

 

A critical part of the analysis is a grinding-versus-recoverability study, since in the previous study, only two grinding sizes were studied: coarse and fine. The fine grind promised to be more economically favorable despite the increase in costs. Further study with multiple grinding size options is required to determine an optimum grinding system. An intermediate grind for example in the range between 71 to 106 microns P80, would allow single stage SAG milling to be evaluated for reduced comminution energy cost, lower operating and maintenance labor in comminution and dewatering, and easier discard of a coarser tailing product when compared to the present grind P80 of 63 microns. The single stage SAG milling concept also allows for low cost future expansion of the initial lines provided by simply adding a ball mill to each SAG mill line to create about double the tonnage capability, without adding feed bins or conveyors. SAG mills with diameter/length aspect ratios over two are needed to make this work.

 

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Work will consist of collecting and analyzing sufficient large bulk samples to determine the optimum flow sheet for the deposit. This work is expected to be further supported by a variability study to analyze variations within the deposit. Typically, a total of 100 to 150 twenty-kilogram samples will be used for the variability study.

 

1.12.6Tailings Management

 

Engineering studies, including TSF design and potential water management and treatment design, including:

 

  Updating the TSF and Clear Creek Waste Facility designs based on field investigation results

 

  Developing tailings deposition plan and waste placement sequence to match pit development and mill output

 

  Detailed analysis of the water and load balance to predict the accumulation of mill reagents in the process water circuit from the tailings

 

1.12.7Permitting

 

At this time, no issues were identified that would materially impact the ability to eventually extract mineral resources at the project. A mining plan of operations and reclamation cost estimate must be prepared to identify locations of the mine, waste rock dumps, roads (haul and access), power and water line corridors from the source to the point of use, mill, tailings storage facility, and other support facilities. Operating plans must be developed in conjunction with the mining plan of operations. ICMC should develop robust reclamation and closure plans for the facilities. ICMC should also begin acquiring any necessary water rights. Stakeholder outreach should continue.

 

Once the facility locations have been determined, ICMC should coordinate with state and federal agencies to identify the baseline studies that will need to be completed to support the development of an environmental impact statement and initiate those studies.

 

Previous environmental analyses have identified the presence of a rare plant Sacajawea’s bitterroot (Lewisia sacajawa), and potential habitat for Endangered Species Act wildlife, and USFS sensitive species. These potential issues will need to be analyzed and disclosed in NEPA documents and potentially mitigated.

 

Organized environmental groups such as the Idaho Conservation League and Sierra Club are keeping their constituents informed so as to coordinate opposition to the project. As such, well-funded, organized opposition to mining activities should be anticipated.

 

1.12.8Plan and Budget for Additional Work

 

Table 1-8 sets out a summary of work expected to be completed prior to a commitment to construction. The estimated time frame for this work program is three years.

 

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Table 1-9: Budget for additional work

 

Item Additional Information

Budget

(000s $)

Diamond Drilling    
Delineation, infill, metallurgy 48,097 m (157,800 ft) @ $100/ft 15,780
     
Road Construction 2 km @ $50,000/km 100
     
Sample Preparation and Analysis 8,800 @ $60 each 528
Metallurgical Testing Sample Collection, etc. 125
  Batch Round of Testing 1,000
  Variability Test-work 1,200
Land Acquisition and Staking Costs   8,000
Environmental Studies Environmental Assessment 713
  Baseline Studies Startup 12,500
  Environmental Plan of Operations 800
  Environmental Impact Statement 23,500
  Permitting 3,000
Engineering Studies Scoping Mill Site, Tailings Site Analysis 550
  Intergoverment Task Force Creation 500
  Mining Plan of Operations 1,200
  Pre-feasibility Study 5,500
Mobilization-Demobilization   427
Road Maintenance   325
Supervision and Project Management Supervision 225
  Corporate Manager 360
  Project Manager 240
  Assistant Geologist(2) 364
  Technicians (12) 1,174
Vehicles 5 Vehicles 150
Accommodation and Food 30 Personnel 760
Travel   42
Project Office and Warehouse   1,225
Land Filing Fees Current BLM: $155/claim/year 87
Land Filing Fees Projected Additional Filing Fees 256
     
Consultants (Mining, Metallurgical and Marketing) 575
Resource Modeling   1,650
Public Relations and Project Public Relations and Legal, etc. 2,550
Presentation Liaison County and State Officials 1,250
Subtotal   86,655
Contingency   13,345
Total   100,000

 

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2Introduction and Terms of Reference

 

2.1Issuer

 

The CuMo project is an early-stage molybdenum-copper exploration project, located approximately 37 miles northeast of Boise, Idaho, USA. CuMoCo holds its interest in the CuMo project through its direct ownership of patented and unpatented mining claims.

 

2.2Terms of Reference

 

This technical report summary (TRS or Report) was commissioned by the registrant, International CuMo Mining Corp. (CuMoCo), for its Copper-Molybdenum-Silver Project (CuMo or Project) In Boise County, Idaho for the purpose of reporting an initial assessment. ICMC is an Idaho company exploring options for the development and restoration of the project area.

 

This Report is the inaugural TRS developed for the CuMo Project in accordance with United States SEC S-K 1300 regulations. The TRS summarizes a 2020 Preliminary Economic Analysis (PEA) Technical Report (SRK, 2020) that was completed under Canadian Securities Administrators National Instrument (NI) 43-101 guidelines and published June , 2020 with the following notable differences:

 

oAn additional set of summary cash flows were produced that do not include inferred resources

 

oThe TRS is classified as a Initial Assessment study whereas the 2020 PEA was classified as a Preliminary Economic Analysis .

 

The Mineral Resource estimates for the Project were examined by the author and determined to be in conformity with Committee for Mineral Reserves International Reporting Standards (CRIRSCO) “International Reporting Template for the public reporting of Exploration Targets, Exploration Results, Mineral Resources and Mineral Reserves” as adopted by the International Council on Mining & Metals November 2019. The mineral resources are reported in in accordance with §§229.1300 through 229.1305 (subpart 229.1300 of Regulation S-K).

 

2.3Responsibility

 

The Author, Shaun Dykes is responsible for the preparation of this Technical summary, which is based on the work produced by the following Qualified Persons that produced the original PEA report which is being summarized in this reprot Table 2-1.

 

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Table 2-1: QP responsibilities

 

Name Company QP Responsibility
Shaun Dykes Geologic
Systems
Sections 1.1
Bob McCarthy SRK

Sections 1.1, 1.2, 1.6, 1.8, 1.10.2, 1.10.3, 1.11.2,
1.11.3, 1.12.3, 1.12.4, 1.12.8, 2 to 5 (except 4.2,
4.3, 4.4, 4.5), 13.2.2, 15, 16 (except 16.2.1), 17.2,
18.1, 21.1.1, 21.2.1, 21.2.2, 21.2.4, 23, 24, 25.1.2,
25.1.3, 25.2.2, 25.2.3, 25.3.2, 25.3.3, 26.3, 26.4,
26.8, 27 & 28

Gilles Arseneau SRK Sections 1.3, 1.4, 6 to 10
Gary Giroux Giroux Consultants Sections 1.5, 1.10.1, 1.11.1, 1.12.1, 11, 12, 14,
25.1.1, 25.2.1, 25.3.1, 26.1 & Appendices 2-4
John Starkey Sacré-Davey Sections 1.10.4, 1.11.4, 1.12.5, 13 (except Section
13.2.2), 17 (except 17.2), 21.1.2 (Processing),
21.1.4, 21.2.3, 25.1.4, 25.2.4, 25.3.4 & 26.5
Andy Thomas SRK Sections 1.12.2, 16.2.1 & 26.2
Neil Winkelmann SRK

Sections 1.9, 1.10.5, 1.10.7, 1.11.5, 1.11.6, 4.2, 4.3,
18.2 to 18.5, 19, 21.1.2 (Infrastructure), 22, 25.1.5,
25.2.5, 25.2.7, 25.3.5, 25.3.6 & Appendix 1

Calvin Boese SRK

Section 1.12.6, 18.6,& 21.1.3 & 26.6

Valerie Sawyer SRK

Sections 1.7, 1.10.6, 1.12.7, 4.4, 4.5, 20, 25.2.6 & 26.7

 

2.3Sources of Information

 

This report is based on information collected by the author during his work on the project from 2005 to present, numerous site visits and on additional information provided by CuMoCo throughout the course of the study.

 

The authors have no reason to doubt the reliability of the information provided by CuMoCo. The authors have not performed verification studies with respect to information provided by CuMoCo other than as described explicitly in this report.

 

Note: Throughout this report, United States Dollars unless otherwise specifically noted.

 

2.4Site Visit

 

Shaun Dykes has been a regular on the project since inception in 2005 and has visited the site on a regular basis. QP’s form the original PEA report who have visited the site include: Mr. McCarthy and Mr. Thomas visited the property from 30 to 31 October 2018, while Mr. Boese visited on only 30 October. All were accompanied by Joey Puccinelli of ICMC. The purpose of the site visit was to observe the mining area as well as project infrastructure, including access, rail, and water supply. Drill core was also inspected to provide context and observations for mining and geotechnical purposes.

 

Mr. Giroux last visited the site in June 2015, when all appropriate requirements of a current inspection were met for data verification and resource estimation. No drilling related work has been performed on site since that time.

 

Mr. Starkey, Mr. Winkelmann, and Ms. Sawyer have not visited the site.

 

The QPs were given full access to relevant data.

 

2.5Previous Reports

 

This Report is the initial TRS completed for ICMC to maintain compliance with SEC regulations. The resources reported herein are current as of the end of November 2022. The information in the TRS is based upon the “Preliminary Economic Assessment & NI 43 101 Technical Report for the CuMo Project, USA” effective June 4, 2020, and Independent report prepared in compliance with the Canadian National Instrument (NI) 43-101 – Standards for Disclosure of Mineral Projects within Canada. Multi Metals Development Ltd, formerly American Cumo Mining Copr., is listed on the Toronto Venture Stock Exchange (TSXV:MLY)..

 

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3Property Description and Location

 

3.1General

 

The CuMo property is located approximately 37 air miles northeast of the city of Boise, Idaho, USA (Figure 4-1). It is situated in the northern portion of the Grimes Pass area on the USGS 1:62,500 Placerville Quadrangle (15' Series) within T7N and T8N, R5E and R6E, in Boise County, Idaho (Figure 4-2). The Latitude at the approximate center of CuMo property is 44 degrees, 2’N and the Longitude is 115 degrees 47’ 30” W or UTM coordinates of 597,500E, 4,876,000N (NAD 27 CONUS).

 

3.2Mineral Tenure

 

The property consists of 126 unpatented and un-surveyed contiguous mining lode claims covering an area of approximately 3,260 acres and 41 fully patented claims covering an area of 739 acres. Most of the claims consist of full-sized, 600 ft by 1500 ft claims (20.66 acres each). However, the total includes 27 fractional claims where the new claims were staked over existing claims. The claims are shown in Figure 4-2 and the claim information is listed in Appendix 1. Unpatented claims have the mineral rights with the surface owned by the federal government. Patented claims are private property and cover both the surface and mineral rights.

 

In Idaho, staked claims expire annually on September 1. An annual fee of $155/claim must be paid to the BLM prior to Aug 31, 2019 or all claims will expire on Sept 1, 2019. At $155/claim, CuMoCo must make annual payments to the BLM of $28,675 to keep all claims in good standing.

 

For patented claims, since they are owned outright, taxes are assessed by the county on a yearly basis. Currently the yearly tax bill for the patented claims is approximately $450. It varies as it is dependent upon assessed value and the county tax rate which changes from year to year.

 

3.3Ownership Agreements

 

On October 13, 2004, CuMoCo completed an “Option to Purchase Agreement” with CuMo Molybdenum Mining Inc. to purchase eight unpatented mineral claims located in Boise County, Idaho, USA known as “CuMo Molybdenum Property”. As part of the original CuMo and CuMoCo agreement, all claims acquired within five miles of the CuMo 1-8 claims became part of the option deal. Therefore, all the new claims referred to in this report as part of the CuMo Molybdenum Property are automatically subject to the terms outlined in that agreement.

 

Terms of the agreement are:

 

  1. Advance royalty payments:

 

  $10,000 upon signing (completed)

 

  $10,000 after 60 days (completed)

 

  $5,000 after 6 months (completed)

 

  $20,000 1st year anniversary (completed)

 

  $20,000 2nd year anniversary (completed)

 

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  $15,000 3rd year anniversary (completed)

 

  $15,000 every 6 months thereafter (up-to-date)

 

These payments are to be credited against a 1.5% net smelter return (NSR) which reduces to 0.5% NSR after cumulative payments of $3,000,000.

 

  2. Work requirements:

 

  $25,000 during the first year (completed)

 

  At least $50,000 each year thereafter (up-to-date)

 

  On January 21, 2005, CuMoCo entered into an option agreement with Kobex Resources Ltd. (Kobex), whereby Kobex could acquire a 100% interest in the CuMo Molybdenum Property and another property in Australia. Under the terms of the Agreement, Kobex would earn a 100% undivided interest in these properties in consideration of cash payment of $5,000,000, 12,500,000 treasury shares and $10,000,000 of work expenditure commitment.

 

On October 6, 2006, Kobex surrendered all rights and interests in the CuMo property to CuMoCo.

 

CuMoCo has completed all payments since 2006 and the property is in good standing.

 

February 14, 2017 CuMoCo announced it has purchased 20 claims in the area around the CuMo project from a group of local prospectors. The 20 unpatented mining claims cover an area of approximately 400 acres. The purchase price of 100% ownership the claims was one $250,000 silver unit plus one million shares of CuMoCo.

 

Note: A silver unit is a seven-year exchange approved debenture that can be converted into the right to buy silver for $5 per ounce from any future production at CuMo. The debenture pays 8.75% interest per annum.

 

In April 25, 2017, CuMoCo announced that its wholly-owned subsidiary, ICMC, has completed an option to purchase agreement for 36 patented mining claims, covering an area of approximately 640 acres adjacent to the CuMo project. Patented claims contain the surface rights as well as the mineral rights. The consideration payable for the claims is as follows:

 

  Upon closing date of the agreement, the sum of $320,000 in cash, two (2) Silver Units in the aggregate principal amount of $500,000 and such number of CuMoCo shares having a value of $322,500 (with the CuMoCo shares being issued at a price equal to the 10-day weighted average trading price of the CuMoCo shares on the TSXV as of the last business day prior to the Closing Date)

 

  Upon the first anniversary of the Closing Date, $320,000 in cash, one (1) Silver Unit in the aggregate principal amount of $250,000 and such number of CuMoCo shares having a value of $322,500 (with the CuMoCo shares being issued at a price equal to the 10-day weighted average trading price of the CuMoCo shares on the TSXV as of the last business day prior to the first anniversary of the Closing Date)

 

  Upon the second anniversary of the Closing Date, $320,000 in cash, one (1) Silver Unit in the aggregate principal amount of $250,000 and such number of CuMoCo shares having a value of $322,500 (with the CuMoCo shares being issued at a price equal to the 10-day weighted average trading price of the CuMoCo shares on the TSXV as of the last business day prior to the second anniversary of the Closing Date)

 

  Upon the third anniversary of the Closing Date, $320,000 in cash, one (1) Silver Unit in the aggregate principal amount of $250,000 and such number of CuMoCo shares having a value of $322,500 (with the CuMoCo shares being issued at a price equal to the 10-day weighted average trading price of the CuMoCo shares on the TSXV as of the last business day prior to the third anniversary of the Closing Date)

 

Payment of the Option Payments (except for the issuance of the American CuMo shares) may be accelerated at CuMo’s option.

 

In July 17, 2017, CuMoCo announced that it had signed a mining claims purchase agreement effective as of July 6, 2017 (the “Purchase Agreement”) between CuMoCo and its wholly-owned subsidiary, ICMC, and CuMo Molybdenum Mining Inc., Western Geoscience Inc. and Thomas Evans (collectively, the “Parties”). CuMoCo is to acquire from the Parties a 100% interest, including any Net Smelter Royalties owned by the parties, in the CuMo project which is currently under option, pursuant to an option agreement between CuMoCo and CuMo Molybdenum Mining Inc. dated October 13, 2004 and amended on January 14, 2005 (the “Option Agreement”).

 

As of the effective date of this report all agreements remain in place as described above.

 

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Source: Giroux et al, 2015

 

Figure 3-1: CuMo property location map

 

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Source: Giroux et al, 2015 modified 2019

 

Note:The mineralized outline of the deposit in this figure is the outline of the geologically-defined potentially mineralized zone1. For clarity, it is not the outline of the current resource, nor of the resource constraining pit (resource outline) which are inside the mineralized outline of the deposit. It is also not the outline of the pit design (2019 pit outline) used in the preliminary economic analysis.

 

Figure 3-2: Claim location map for the CuMo property

 

The change since the 2015 report in the outline of the deposit is a result of reconnaissance work performed in 2017 by CuMo field geologists on the recently acquired claims.

 

 

1Defined according to geology, lithology and/or mineralogy without explicit consideration of grades or economic potential

 

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3.4Environmental

 

3.4.1Environmental Regulations

 

The CuMo project will be subject to federal, state of Idaho, and local regulations. Key regulations to which the project will be subject governing exploration and mining design, operations, and reclamation include:

 

  General Mining Act of 1872, 30 U.S.C. §§ 22-42

 

  Mining and Minerals Policy Act of 1979

 

  36 Code of Federal Regulations Part 228 administered by the USFS

 

  Idaho Administrative Procedures Act (IDAPA) 20.03.02 Rules Governing Exploration, Surface Mining, and Closure of Cyanidation Facilities administered by the Idaho Department of Environmental Quality

 

  IDPA 16.01.02, Water Quality Standards and Wastewater Treatment Requirements

 

  IDPA 20.03.02, Rules Governing Exploration and Surface Mining Operations in Idaho

 

  IDAPA 58.01.01 Rules for the Control of Air Pollution, administered by the Idaho Department of Environmental Quality

 

  IDAPA 58.01.02 Water Quality Standards, Anti-Degradation, administered by the Idaho Department of Environmental Quality

 

  IDAPA 58.01.11 Ground Water Quality Rule, administered by the Idaho Department of Environmental Quality

 

3.4.2Environmental Liabilities

 

There are currently no known environmental liabilities on the property. The company has a $300,000 reclamation bond on deposit once the permits are re-issued.

 

It is possible, that with the development of a detailed mining plan of operations and the more detailed investigation of aspects of the property that are associated with that plan, that as-yet unknown environmental liabilities and/or issues may be identified.

 

3.4.3Other Significant Factors and Risks

 

At this time, no specific issues have yet been identified that would materially impact the ability to eventually extract mineral resources at the project. That is, any other significant factors and risks that may affect access, title, or the right or ability to perform work on the property are not yet known.

 

However, ICMC should be prepared to address potential issues associated with but not limited to the following aspects:

 

  Water including supply, water rights, and delivery system and potential impacts

 

  Water management (stormwater, contact/non-contact water, water quality)

 

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  Geochemistry of ore, waste rock, tailings solids and solution, and post-mining pit lake

 

  Threatened, endangered, and special status plant and animal species

 

  Jurisdictional waters

 

  Transportation and access

 

  Reclamation and closure

 

3.5Permits

 

Exploration on federal lands requires an authorization to conduct exploration except for sampling of rocks and soils by hand and other activities that create no land disturbance. There are three levels of permits reflecting increasing disturbance:

 

  The lowest level of authorization is a Categorical Exclusion. This is the least intense disturbance and requires some public notification. The authors understand that track mounted auger/rotary drilling with no new road clearing would fit in this category according to USFS personnel.

 

  Environmental Assessment requires an in-depth study with 30 days for public comment, plus additional time for appeal. The authors understand that drilling with a reverse circulation (RC) rig using water, new road construction, etc., would require this level of permit. USFS personnel suggest that one year may be required to receive an authorization. Spot studies on archaeology and sensitive plant species would be required prior to disturbance.

 

  Environmental Impact Statement (EIS) is the highest permit level and would be required for mine development.

 

Approval for a diamond drilling program has been obtained from the USFS, to be carried out from the existing network of drill access roads and was permitted under a Categorical Exclusion, issued in 2008. An application for a Water Use Permit for diamond drilling purposes was originally filed with the Idaho Department of Water Resources in 2008, that permit is renewed annually.

 

In January 2007, an exploration plan of operations was submitted for an expanded exploration program involving construction of new roads for drill access, and the USFS gave notice that an Environmental Assessment is required for that program. Note: This exploration plan of operations was filed while the Categorical Exclusion was active and that no mining plan of operations has been prepared.

 

On June 14, 2010, the Environmental Assessment was completed and submitted for public review and hearing during a mandated 90-day period. On February 14, 2011, A Finding of No Significant Impact was delivered by the USFS. During the mandated 45-day appeal period, one environmental group (Idaho Conservation League) submitted an appeal of the USFS decision.

 

On May 17, 2011, the USFS denied the appeal allowing CuMoCo to begin work under the new exploration permit following a mandatory 15-day stay period which ended on June 7, 2011. The permit covers all exploration work required to produce the information necessary to produce a feasibility study and lasts for up to five years.

 

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The Idaho Conservation League et al, filed a challenge in the “United States District Court for the District of Idaho” on December 15, 2011: “Plaintiffs Idaho Conservation League, Idaho Rivers United, and Golden Eagle Audubon Society seek summary judgment reversing and remanding the USFS’s February 2011 approval of the CuMo Mine Exploration Project, in the upper Grimes Creek watershed of the Boise National Forest.” The USFS was named as defendant while CuMoCo was named as Intervener Defendant. CuMoCo has worked through the litigation process and filed a response brief and reply brief. The USFS has also filed response and reply briefs. The Idaho Conservation League also filed a reply brief.

 

On August 29, 2012, the judge in the case dismissed four of the five claims by the opponents but remanded the section on groundwater over for further study. As a result, on February 7, 2013 the USFS initiated a Supplemental Environmental Assessment in order to address the judge’s concerns. This worked culminated on April 13, 2015 with the re-issuance of a draft Finding of No Significant Impact.

 

In January 2016, the Idaho Conservation League and others filed a challenge in the United States District Court for the District of Idaho of the new April 15 decision.

 

On July 13, 2016, the judge in the case accepted the work on the groundwater but remanded the decision to give USFS time to study the effects of the 2014 Grimes Creek fire on a sensitive plant species. As a result, on August 7, 2016, the USFS initiated a Supplemental Environmental Assessment in order to address the judge’s concerns. Note: In 2018 this was renamed by the USFS to the Supplemental Redline Environmental Assessment. In 2016, another fire effected the property area and additional studies were required. The USFS is currently in process of preparing the updated report, which is expected to lead to a final decision in early 2020.

 

As of the effective date of this report all agreements remain in place as described in this Section 4.

 

At the current time there are no active permits as ICMC is waiting on the Supplemental Redline Environmental Assessment report and the final decision notice and finding of no significant impact.

 

4Accessibility, Climate, Local Resources, Infrastructure and Physiography

 

International air travel is available from Boise, Idaho. The property is accessed by road from Boise by taking US State Highway 55 northerly for approximately 40 miles (65 km) to the town of Banks, Idaho, and then east on the Banks Lowman Road towards the town of Garden Valley for approximately 10 miles (16 km). One mile east of Garden Valley is a secondary road heading south across the Payette River. Following this secondary road, the western most edge of the CuMo claim block is approximately 10 miles (16 km) from Garden Valley.

 

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Alternatively, access can be gained by traveling northeast from Boise along Highway 21 past the towns of Idaho City and Centerville, along Grimes Creek, and then over the Grimes Pass.

 

The project is situated in the southern section of the Salmon River Mountains which lie immediately west of the Rocky Mountains and are characterized by north-northwest trending mountain ranges separated by alluvial filled valleys. Topographic elevations on the CuMo claims range from 5,100 ft (1700 m) to 7,200 ft (2,400 m) above sea level.

 

The climate is defined by summer temperatures to a maximum of 100° F (38°C) and cold, windy winters with lows to -10° F (-23°C). Precipitation is moderately light with an average rainfall of 30 inches (<1 meter) and an average snowfall of approximately 140 inches (3.6 m). Vegetation in the project area consists of cedar, lodgepole pine, mountain mahogany, and juniper.

 

The area is serviced by the Idaho Power Company which supplies electricity to residents of Garden Valley, Lowman and Pioneerville. The nearest rail line is the Idaho Northern & Pacific line formerly operated by Union Pacific that runs through the town of Banks, approximately 20 road miles (32 km) to the west of the property.

 

Equipment, supplies, and services for exploration and mining development projects are available at Boise. There is also a trained mining-industrial workforce available in Boise.

 

Exploration and mining at the property can be conducted year-round, due to the established road system and its proximity to other infrastructure. The property is large enough to accommodate the current CuMo deposit exploration or mining operations including facilities. Potential waste disposal and tailings storage areas, currently outside the property, will require permits from federal and state agencies as discussed in Section 20 of this report.

 

The project will be located on patented claims owned or optioned by ICMC and public land administered by the USFS. The extent of public land used for mining purposes will be identified in the mining plan of operations. In the USA, with the exception of the patented claims owned or optioned by ICMC, all surface rights in the area of the current design are administered by the USFS and are not available for purchase but for lease. The NEPA process will disclose the potential impacts from construction, mining, closure, and reclamation activities and identify mitigation to avoid or ameliorate impacts prior to authorization of the mining plan of operations. These surface rights are granted at the time of a record of decision to place the mine into commercial production and they form part of the permitting process.

 

5History

 

5.1Exploration

 

The Boise Basin was first explored following the discovery of placer gold deposits in 1862. Several lode gold deposits were discovered and developed immediately following the initial alluvial gold rush, with significant production occurring in the late 1800’s and early 1900’s. There are a number of lode prospects within approximately two miles of the CuMo property, some of which have recorded minor past production of base and precious metals. No production has occurred on CuMo itself.

 

The first interest in the CuMo property was shown during aerial reconnaissance by Amax Exploration in 1963. Follow-up geochemical rock and soil sampling indicated anomalous molybdenum and copper values. Forty claims were then staked, and three previously existing claims were optioned. A 2.5 mile (4 km) rough access road was constructed in 1964 to facilitate collection of rock samples and geological mapping. The property was subsequently relinquished due to the combination of contemporary economic conditions and initial sample grades.

 

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In 1968, Curwood Mining Company staked 12 claims and undertook detailed mapping and geochemical rock sampling. This work indicated roughly coincident anomalies in copper, molybdenum and silver. Several trenches were excavated, and one line of dipole-dipole array IP geophysical survey was conducted.

 

In 1969, Midwest Oil Corp. optioned the property and conducted exploration drilling through 1972 (four short rotary holes (less than 100 ft) initially, which were later depended using diamond drilling, followed by six cored holes). Midwest also performed an IP survey in 1971 and an airborne magnetic survey in 1973. The IP survey indicated a pyrite halo on the north side of the deposit, although an alternative interpretation concluded “the combined IP data may indicate a halo effect but more probably shows an east-west trend to the rock types and mineralization” (Baker, 1983). The CuMo deposit did not have a strong magnetic signature, being somewhat of a plateau with surrounding highs.

 

In 1973, Midwest formed a joint venture with Amax and then subsequently Midwest was merged with AMOCO resulting in an Amax-AMOCO joint venture (JV) with AMOCO as operator. During the period 1973 to 1981, the Amax-AMOCO JV completed 30,822 ft of drilling (summarized in Table 6-1), surface geological mapping, re-logging of the core, road construction, an aerial topographic survey, and age dating. In 1980, Amax Exploration Inc. transferred its interest to Climax Molybdenum Company (Climax), also a subsidiary of Amax Inc. In 1982, Climax collected more than 300 soil geochemical samples from three different grids.

 

Table 5-1: Summary of historic drilling

 

Year Company Holes Footage Meters Comments
1969 Midwest 4 378 115 Rotary holes shallow due to water included in core
1970 Midwest 0 653 199 2 rotary holes deepened with core to 400’ depth
1971 Midwest 1 2,251 686 One core hole deepened further to 1,884 ft
1972 Midwest 3 1,892 577 One core hole deepened from 810-1,416 ft
1974 Amax 1 805 245 Hole 9-9A
1975 Amax 1 2,382 726 Hole 10
1976 Amax 2 4,343 1,324 One vertical, other 1,340 ft @ -45
1977 Amax 3 5,861 1,786 3 vertical DDH 1,804-2,124 ft deep
1978 Amax 3 6,774 2,065 3 vertical DDH 2,132-2,361 ft deep
1979 Amax 2 4,823 1,470 Vertical DDH to 2,543 ft depth
1980 Amax 3 2,630 802 RC holes
1981 Amax 3 3,204 977 Vertical DDH 1,000 to 1,193 ft depths
Total   26 35,996 10,971  

 

A total 23 diamond holes and three RC holes were drilled on the property (Table 6-2). Most RC holes were pre-collars to diamond drill holes with only the diamond drill component of the holes being used for resource modelling and sampling. The historic holes were sampled mostly at a 20 ft sample interval.

 

A Skelton core representation of the historic drill holes (one four-inch piece of core for each 10-foot interval), and all the sample rejects were delivered directly from Climax’s secure facility in Colorado and are stored in the project secure warehouse facility for use by the project.

 

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Table 5-2: List of historic drill holes

 

Hole Northing Easting Elevation Dip Azimuth Length (ft)
71-01 120,990 219,904 6026 -90 0 1,884 completed
71-02 120,575 219,820 6,060 -70 0 405 completed
71-03 120,250 219,905 6,165 -90 0 70 completed
C71-04 120,785 219,940 6,045 -90 0 113 completed
C72-05 120,525 220,570 6,202 -90 0 1,416 completed
C72-06 121,749 219,919 5,902 -90 0 663 completed
C72-07 121,491 219,823 5,962 -90 0 275 completed
C72-08 118,890 220,025 6,467 -90 0 379 completed
C74-09 121,438 220,687 5,890 -60 168 804.6 completed
C75-10 119,756 221,220 6,341 -90 0 2,381 completed
C76-11 120,456 221,250 5,996 -90 0 3,003 completed
C76-12 120,955 221,432 5,742 -43 190 1,340 completed
C77-13 119,472 219,903 6,426 -90 0 1,804 completed
C77-14 119,085 221,271 6,613 -90 0 2,123.8 completed
C77-15 119,772 221,951 6,339 -90 0 1,933.2 completed
C78-16 119,210 219,148 6,248 -90 0 2,131.7 completed
C78-17 118,712 219,887 6,544 -90 0 2,281.5 completed
C78-18 119,823 222,649 6,168 -90 0 2,361 completed
C79-19 120,178 219,887 6,170 -90 0 2,280 completed
C79-20 120,878 220,787 6,105 -90 0 2,543 completed
RC80-21 120,511 220,541 6,202 -90 0 1,000 completed
RC80-22 119,913 220,412 6,239 -90 0 670 completed
RC80-23 120,695 219,420 5,827 -90 0 960 completed
C81-24 120,671 222,009 6,070 -90 0 1,000 completed
C81-25 119,890 219,290 6,019 -90 0 1,011 completed
C81-26 121,338 221,433 5,768 -90 0 1,193 completed

 

  Notes: C holes are diamond and RC are reverse circulation.
 


Holes contained in the above list represent individual holes that may have been drilled across more than one year, while table 6-1 shows the actual footage drilled in each year according the records.

 

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5.2Historical Resource Estimate

 

The estimate summarized here was undertaken by Climax prior to the inception of NI 43-101 and does not follow the Standard nor adhere to the categories outlined in NI 43-101. The “Amax Resource” is considered an historical estimate, and not a “Resource” in accordance with NI 43-101. A technical report on the property was never filed. A qualified person has not done sufficient work to classify the historical estimate as a current mineral resource. CuMoCo is not treating the historic estimate as current mineral resources. it is included here for historic completeness only. The resource for the property is only as defined in Section 14 of this report.

 

Based on the 26 drill holes a resource block model was constructed in 1983, extending between local grid coordinates 17,000 to 25,000 east and 16,000 to 23,000 north. The individual blocks were 100 ft in both the north-south and east-west directions and were 50 ft in height. Blocks were located from 7,000 ft down to 3,050 ft above sea level. Grades were estimated using 50 ft drill hole assay composites and mineralized zone boundaries. Kriging was performed within a 1,500 ft horizontal search limited to 300 ft vertically.

 

Table 5-3: CuMo historical results, 1982 Amax block model

 

Cut-off Grade (MoS2%) Million Tons Average Grade (MoS2%)
0.02 2,100 0.072
0.03 1,900 0.078
0.04 1,600 0.084
0.05 1,500 0.092
0.06 1,100 0.097
0.08 730 0.116
0.10 470 0.131
0.12 280 0.145
0.14 140 0.170

 

Source: Baker, 1983

 

In 1983, Climax transferred its interest in the property to Amax Exploration Inc. and no further work appears to have been done on the property.

 

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6Geological Setting and Mineralization

 

6.1Regional Geology

 

The regional tectonic setting consists of a basement of amalgamated Archean and Paleoproterozoic crystalline terrains that were joined during the Paleoproterozoic Trans-Montana orogeny, and are overlain discontinuously by sedimentary rocks of Mesoproterozoic, Neoproterozoic, and Paleozoic ages; and volcanic and sedimentary rocks of Eocene and Miocene ages. Voluminous tonalite to granite bodies of the Idaho batholith and later granitic plutons of Eocene age intrude the older rocks. Major deformational episodes superimposed on the Precambrian basement include the Cretaceous Sevier orogeny, which mainly involved east-vergent “thin-skinned” thrusting; Eocene extensional deformation, which resulted in development of metamorphic core complexes; and basin and range-type faulting (Sims et al, 2005), as opposed to the Laramide orogeny’s “basement cored” uplifts which partially overlapped the Sevier orogeny in time and space.

 

The regional geology has been compiled at 1:1,000,000 to form the digital map of Idaho (Johnson and Raines, 1996). The CuMo deposit is situated within the Idaho batholith and is part of a regional scale belt of porphyry and related deposits identified as the Idaho-Montana Porphyry Belt (Rostad, 1978). This belt is part of a magmatic arc that formed on the northeast margin of the North American Craton (Figure 7-1) during Laramide time (Late Cretaceous-Early Tertiary). The Idaho-Montana Porphyry Belt lies within the much longer, 1,500 km, Great Falls tectonic zone (Figure 7-2), which was distinguished by brittle structures and intrusions of Phanerozoic age that are interpreted to have been controlled by the reactivation of basement structures. (O’Neill and Lopez, 1985). Two sets of basement structures, in particular, provided zones of weakness that were repeatedly rejuvenated (Sims et al, 2005):

 

(1)Northeast-trending ductile shear zones developed on the northwest margin of the Archean Wyoming province during the Paleoproterozoic Trans-Montana orogeny; and

 

(2)Northwest-trending intra-continental faults of the Mesoproterozoic Trans-Rocky Mountain strike slip fault system.

 

The Trans-Montana orogeny comprises a deformed, north-facing, passive continental margin and subsequent fore-deep assemblages overlying an Archean basement that is juxtaposed with accreted conjoined terrains. The juncture is the linear deformed belt between the Great Falls and Dillon shear zones. The fold-and-thrust belt of the Trans-Montana orogeny coincides in part with the Great Falls tectonic zone.

 

The Trans-Rocky Mountain fault system is a major, deep-seated, northwest trending, intracontinental strike-slip fault system of Mesoproterozoic age. It consists principally of west northwest-striking strike-slip faults (principal displacement zones), branching and en-echelon northwest-trending faults, and widely spaced, more local north-trending faults.

 

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Source: Hildenbrand et al, 2000

 

Figure 6-1: Tectonic map of the western United States

 

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Source: Lund et al, 2005

 

Figure 6-2: Distribution of Idaho-Montana porphyry deposits in relation to the great falls tectonic zone

 

Mineral deposits in the Idaho-Montana Porphyry Belt (also called the Transverse Porphyry Belt of Idaho-Montana by Carten et al, 1993) are related to Eocene granitic intrusions. The distribution of deposits along this belt from northeast to southwest follows a progression from alkalic rocks (intra-arc rift-related), to mixed alkalic and calc-alkalic, and finally calc-alkalic intrusive rocks, a pattern that is similar to the distribution of igneous rocks from south to north along the proto Rio Grande rift (Carten et al, 1993). The CuMo deposit is located at the southwestern end of this belt and is associated with a calc-alkalic monzogranite, reported as 45-52Ma age (Carten et al, 1993) that intrudes Cretaceous equigranular intrusive rocks of the Atlanta Lobe of the Idaho Batholith.

 

The Idaho batholith is a composite mass of granitic plutons covering approximately 15,400 square miles. The northern part is called the "Bitterroot" lobe and the southern part the "Atlanta" lobe. Most of the southern lobe was emplaced 75 to 100 million years ago (Late Cretaceous); whereas the northern lobe was emplaced 70 to 80 million years ago. Older plutons of Jurassic age occur on the northwest side of the Bitterroot lobe and many Eocene plutons have intruded the eastern side of the Atlanta lobe of the batholith. Although radiometric dates and field relationships restrict the age of the Idaho Batholith to between 180 and 45 million years, the dominant interval of emplacement was early to Middle Cretaceous. There is a general west-to-east decrease in age for plutons of the batholith.

 

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On the west side of the batholith the rocks are tonalites or quartz diorites, whereas on the east side they range from granodiorites to granites. The boundary between the two composition types also coincides with the 0.704 Sr87/Sr 86 boundary and also the boundary between the Mesozoic and Paleozoic eugeoclinal accreted rocks on the west with the continental Precambrian rocks on the east side (Digital Atlas of Idaho: http://imnh.isu.edu/digitalatlas/geo/bathlith/bathdex.htm).

 

The CuMo deposit is situated within the Atlanta Lobe of the Idaho batholith. The western margin of the Atlanta lobe is strongly folded and metamorphosed into gneissic rocks, which are well exposed near McCall. The western side is composed of tonalite, 95 to 85 million years old. The batholith core is biotite granodiorite; and the eastern side lobe is muscovite-biotite granite approximately 76 to 72 million years old13.

 

6.2Local Geology

 

The geology of the area around the CuMo deposit was mapped and originally compiled at 1:24,000 scale by Anderson (1947). This mapping has been incorporated into the 1:100,000 scale Deadwood River 30 x 60 quadrangle map (Kilsgaard et al, 2006), and adjoining Idaho City 30 x 60 quadrangle map (Kilsgaard et al, 2001), and compiled into the Boise County map of the digital Atlas of Idaho (Figure 7-3).

 

The CuMo area is underlain by biotite granodiorite, the most common rock type of the Atlanta lobe of the Idaho batholith (Unit Kgd) (Killsgaard et al, 1985). This unit was mapped by Anderson (1947) as quartz monzonite: (Unit Kqm) – in part porphyritic and including granodiorite. The rock is light grey, medium to coarse-grained and equigranular to porphyritic. Biotite averages about 5% and sericite alteration of feldspar is common. Killsgaard et al (1985) report the age of this unit at 82-69Ma based on potassium-argon dating.

 

Tertiary plutonic rocks intruded into the batholith in the area of CuMo include Eocene diorite and hornblende biotite granite forming the Boise Basin and Long Gulch Stocks and associated dikes (Unit Tgdd) (Killsgaard et al, 2005). These units were identified as diorite and quartz monzonite porphyry, respectively, by Anderson (1947). The Eocene granites are generally characterized by pink color due to potassium feldspar as a major component, miarolitic cavities that may be lined with smoky quartz, high radioactivity relative to the Idaho batholith, the presence of perthitic feldspar, myrmekite and granophyric texture indicating high temperature crystallization complicated by quenching, and a high content of large cation elements including molybdenum, high fluorine content, and high-iron biotite (Killsgaard et al, 1985).

 

 

3Digital Atlas of Idaho: http://imnh.isu.edu/digitalatlas/geo/bathlith/bathdex.htm.

 

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Source: Modified from: http://imnh.isu.edu/digitalatlas/counties/boise/geomap.htm

 

Figure 6-3: Geology of Boise County, Idaho, showing geological setting of CuMo deposit

 

Hypabyssal equivalents of the granites include numerous rhyolite dikes that are concentrated along the trans-Challis fault system (Killsgaard et al, 1985). Rhyolite dikes are generally less than 25 ft thick and may exhibit flow banding, whereas rhyolite porphyry dikes can reach 200 ft in thickness and have prominent quartz phenocrysts (Anderson, 1947).

 

Extensive placer gold workings and lode deposits in the area are situated along the northeast trending trans-Challis fault system (Killsgaard et al, 1989; Bennett, 1986). As shown in Figure 7-3, a north-trending Basin and Range fault, down on the east, bounds the system of northeast-striking trans-Challis faults to the west of CuMo (Link, 2002).

 

6.3Property Geology

 

Amax completed detailed bedrock mapping on the CuMo property between 1964 and 1981. Earlier periods of mapping outlined five general rock types, including quartz monzonite of the Idaho Batholith, rhyolite porphyry, lamprophyre, dacite and diabase dykes. Subsequent mapping through to1982 resulted in subdivision of those five units into 17 (Table 7-1).

 

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Table 6-1: Summary of rock units present at the CuMo property

 

Unit Age Rock Type Texture Grain Size
Tl Tertiary Lamprophyre Porphyritic Fine
Td Tertiary Diabase Massive, amygdaloidal Aphanitic
Tr Tertiary Rhyolite Massive to flow-banded Aphanitic to fine
TpE Tertiary Biotite quartz monzonite porphyry Porphyritic Fine
Tbx Tertiary Intrusion to intrusive breccia Breccia Aphanitic to fine
Trp Tertiary Biotite quartz monzonite porphyry Porphyritic Aphanitic to fine
TpF Tertiary Biotite quartz latite to rhyolite porphyry Porphyritic Aphanitic
TpB Tertiary Biotite quartz latite to rhyolite porphyry Porphyritic Aphanitic
TpA Tertiary Biotite quartz latite to quartz monzonite porphyry Porphyritic Aphanitic to fine
TpD Tertiary Biotite quartz monzonite to quartz latite porphyry Porphyritic Aphanitic to fine
TpC Tertiary Biotite quartz latite to quartz monzonite porphyry Porphyritic Aphanitic to fine
Tbhqmp Tertiary Biotite hornblende quartz monzonite porphyry Porphyritic Fine
Tbdp Tertiary Biotite dacite porphyry Porphyritic Aphanitic
Tgd Tertiary Granodiorite Equigranular Fine-medium
Ta Tertiary Andesite Porphyritic Aphanitic
Kg Cretaceous Gabbro Equigranular – diabasic Fine
Kqm Cretaceous Biotite-quartz monzonite Equigranular to porphyritic Coarse-medium

 

Baker (1983) noted that the “ranges of textures in the various dike types (TpA-TpF) overlap, but show a general trend from early, phenocryst-rich porphyries with large phenocrysts, to young, phenocryst-poor porphyries with small phenocrysts”.

 

Three main intrusive types were observed in the holes drilled to date, including equigranular quartz monzonite, quartz monzonite porphyry, and intrusive breccia. Mafic dikes were also intersected locally. The equigranular quartz monzonite is considered to be the Idaho batholith (Unit Kqm) and locally contains K-feldspar megacrysts. The intrusive breccia is comprised of fragments of porphyry and equigranular quartz monzonite. All of the felsic intrusive phases contain molybdenite (MoS2) mineralization. Examples of the main rock types are shown in Figure 7-4. The quartz monzonite porphyry (Unit Tbqmp) varies considerably in proportion and size of phenocrysts, with at least four varieties recognized (Figure 7-4). The first and possibly earliest phase (Unit Tbqmp Type I) is dark to medium grey, with 10-15%, <7 mm feldspar phenocrysts, 1-2% fine-grained biotite, and <5% quartz set in a fine-grained groundmass. The second phase (Unit Tbqmp Type II) is medium to light grey, with 30% feldspar phenocrysts and minor biotite set in a medium-grained groundmass. The third phase (Unit Tbqmp Type III) is similar to Type II but contains K-feldspar megacrysts. The fourth phase and possibly most recent is a crowded porphyry variant of Type III containing >30% feldspar phenocrysts set in a medium-grained groundmass. Type I through IV phases may correlate with Amax units TpD, TpB, TpA and TpC, respectively, and appear to follow a general pattern of early, phenocryst poor phases intruded by later phenocryst-rich phases, which is opposite to the general progression observed by previous workers.

 

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Structure may be an important factor on the distribution of mineralization at the CuMo property. A strong northeast to east-northeast structural trend, characteristic of the trans-Challis fault system, is evident in the area of the property. The Tertiary dyke system trends in this same orientation with steep to moderate dips to the south. Faults and mineralized structures identified to date dominantly trend to the northeast as well. These include numerous small base and precious metal occurrences that occur in the area and surrounding the CuMo deposit with most of the major lodes striking east-northeast (N70E) whereas subordinate lodes are oriented northeasterly (N35E, N10-20E and N30-60E). Several fault zones, marked by sections of broken core, were logged in the drilling, which appear to offset the interpreted mineral zones. The full significance of these fault structures to the deposit geometry remains to be determined.

 

 

Source: Giroux et al, 2015

 

Note: All core pieces are 2.4 inches in width

 

Figure 6-4: Core photographs of felsic porphyry types recognized in drill core

 

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6.4Mineralization

 

6.4.1Description of Mineralized Zones

 

The CuMo deposit is located in an historic gold mining camp. Gold was discovered in the Boise Basin in 1862 and lode mining began within a year. As of 1940, total gold production amounted 2.8 million ounces of which 74% was from placer operations (Anderson, 1947). More gold has been produced from the Boise Basin than any other mining locality in Idaho (Killsgaard et al, 1989). Although they are primarily gold deposits, considerable silver and minor copper, lead and zinc were produced as by-products from the lodes.

 

Anderson (1947) recognized two separate mineralizing events that he referred to as early Tertiary and early Miocene. The first event consists of gold-quartz veins containing minor sulfide minerals that occur within the Idaho batholith and are associated with weak wall rock alteration. Associated sulfide minerals include pyrite, arsenopyrite, sphalerite, tetrahedrite, chalcopyrite, galena and stibnite. The second mineralizing event occurs within porphyry dikes and stocks as well as in the batholith, and is characterized by relatively abundant sulfide mineralization, subordinate quartz and widespread wall rock alteration. Base metal mineralization consists of pyrite, sphalerite, galena, tetrahedrite, chalcopyrite, minor quartz and siderite with local occurrences of pyrrhotite and enargite. The gold-quartz veins generally occur relatively distal to the CuMo deposit (within 4 to 6 miles/6 to 10 km), whereas the base-metal-gold lodes occur in a belt that follows the “porphyry belt” from Quartzburg through Grimes Creek, proximal to and coincident with the CuMo deposit. This “porphyry belt” is what the CuMoCo refers to as the older copper-gold porphyry system which is characterized by the chalcopyrite-silver-gold bearing veins.

 

6.4.2Property Mineralization

 

Molybdenum mineralization was discovered at CuMo in 1963. The only other molybdenum showing in Boise County is the Little Falls molybdenum prospect, which is situated just to the northeast of CuMo.

 

Mineralization on the property occurs in veins and veinlets developed within various intrusive bodies. Molybdenite (MoS2) occurs within quartz veins, veinlets and vein stockworks. Individual veinlets vary in size from tiny fractures to veinlets five centimeters in width, with an overall thickness averaging 0.3-0.4 cm. Pyrite and/or chalcopyrite are commonly associated with molybdenite although molybdenite can occur alone without other metallic mineralization.

 

Chalcopyrite occurs in quartz-pyrite + molybdenite veinlets, in magnetite + pyrite as well as in pyrite-biotite + quartz + magnetite veins with secondary biotite halos. Scheelite is common on the property and closely parallels the distribution of molybdenite (Baker, 1983).

 

Figure 7-5 and Figure 7-6 show examples of mineralization at CuMo from the previous drill holes.

 

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Source: Giroux et al, 2015

 

Note: in this older figure, “Molybdenum” is referring to molybdenite mineralization.

 

Figure 6-5: Photographs of mineralized core from the CuMo 2006 program, hole C06-28

 

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Source: Giroux et al, 2015

 

Note: All core pieces are 2.4 inches in width

 

Figure 6-6: Photographs of molybdenite mineralization in 2008 drill core

 

Compilation of Amax data on the frequency of veins mapped on surface as well as their mineral constituents was presented by Giroux et al (2005) and is shown graphically in Figure 7-7.

 

A concentric pattern is clearly evident, which is also shown by the distribution of anomalous Mo and Cu rock geochemical results – Figure 7-8 and Figure 7-9. The area drilled to date occupies only a portion of the central area; Amax had identified prospective target areas to the southeast and east of the area drilled.

 

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Source: Giroux et al, 2015 modified 2019

 

Note: The “Amax Resource” indicated on the figure is considered an historical estimate, and not a “Resource” in accordance with NI 43-101. A technical report on the property was never filed. A qualified person has not done sufficient work to classify the historical estimate as a current mineral resource. The Company does not consider the Amax resource as current.

 

Figure 6-7: Surface distribution of quartz and epidote veinlets and metal zonation

 

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Source: Giroux et al, 2015 modified 2019

 

Figure 6-8: Geochemical distribution of Mo in surface rock chip samples

 

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Source Giroux et al, 2015 modified 2019

 

Figure 6-9: Geochemical distribution of Cu in surface rock chip samples

 

Amax interpreted two shells of molybdenite mineralization, with the upper shell being richer in copper and silver, but of lower molybdenite (MoS2) grade, and the lower shell being molybdenite (MoS2)-rich and depleted in copper and silver (Baker, 1983). Amax interpreted this pattern of metal zoning to have formed above and peripheral to two or more source intrusions (of which only one was recognized physically).

 

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7Exploration And Drilling

 

Since obtaining the property in 2005, work has been solely focused on drilling on the CuMo property.

 

Only reportable exploration conducted by CuMoCo outside of drilling on the CuMo property was a dump sample taken during reconnaissance work undertaken by the project geologists in 2017. The dump is located approximately 1,731 m west of the western most drill hole to date, hole 10-47, The sample although taken to represent the material occurring on the dump (Coon Dog, located in Figure 10-1) which was estimated to contain 15 tons of material, the sample is considered a grab and not representative of any sort of size, width or extent of material. The sample which was assayed by ALS Chemex using ICP-M61 technique assayed 3.12% Cu, 783 ppm Ag, and 0.986 ppm Au.

 

Note: The reader is cautioned that grab sample assays represent prospecting samples and may not be representative of the grade or width of the mineralization. There is presently insufficient data with respect to the size and extend of the mineralization represented by the sample to determine its significance. Future drilling is designed to determine that significance, if any.

 

Note: Sample was taken by collecting approximately 10 kg of random broken rocks pieces from the area of the dump

 

The reconnaissance worked involved two geologists examining surface exposures looking for additional indications of mineralization. Several indications were identified including the Coon Dog Dump. The work resulted in an increase to the extent of mineralization (deposit outline) as can be seen in Figure 4-2. A drill program for the area has been proposed for the 2020 field season.

 

The reader will encounter several outlines of various aspects of the CuMo project that are explained in the pertinent section, but for clarity are summarized here.

 

The first outline is the deposit or mineralized outline, this is shown in Figure 4-2 (Mineralized outline) and represents the extent of the CuMo deposit based on the geology, alteration and mineralization. It is the largest and most extensive boundary.

 

The next outline encountered is the conceptual pit or 2015 block model boundary, this is the outline of the location of all blocks that are placed around the drill holes that are within a conceptual pit design. As drilling proceeds, more and more of these blocks are converted into resources.

 

The next outline is the 2015 resource boundary (resource outline in figure 4-2) , this outlines the area of blocks that were actually calculated in the current 2015 resource; it amounts to 60% of the previous block model boundary. Reader should note that not all blocks within the block boundary have been actually calculated.

 

The final boundary is the actual 30-year pit boundary (2019 pit outline in figure 4-2) that contains the blocks within the 2015 resource that are proposed to be mined during the 30 years.

 

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7.1Drilling and Trenching

 

Summary of Programs by Year

 

Between 2006 and 2012, CuMoCo has drilled a total of 25,486.82 m in 42 holes (Table 10-1).

 

Table 7-1: Summary of holes drilled by CuMoCo

 

Year No Holes Length (m)
2006 1 1,085.1
2007 7 3,872.5
2008 11 8,159.7
2009 9 5,687.8
2010 3 1,312.8
2011 2 1,156.7
2012 9 4,213.3
Total 42 25,487.9

 

7.2Sampling and True Thickness Adjustments

 

All drill holes completed by CuMoCo were sampled at 10 ft intervals for the entire hole. The deposit is a stockwork type. No preferred orientation of veins has been identified. No systemic adjustment of sampling intervals or intercept lengths to reflect “true thickness” has been applied, nor is it considered warranted.

 

7.32006 Drill Program

 

In 2006, diamond drilling was done by Kettle Drilling Inc. of Coeur d’Alene on behalf of Kobex Resources Ltd. and CuMoCo Resources Corp. Kobex commenced drilling in August 2006 and completed one hole. On October 6, 2006, Kobex delivered a notice of termination in respect of the CuMo property. The option on the project was terminated when the second hole was at a depth of 600 ft, and the action was taken before any assays were received. ICMC (wholly owned US subsidiary of CuMoCo.) assumed control of the project on October 10, 2006 and completed this hole to a depth of 1,710 ft before the program was halted due to the onset of winter conditions.

 

7.42007 to 2011 Drill Program

 

Between 2007 and 2011, diamond drilling was done by Kirkness Drilling (Kirkness) of Carson City, Nevada. Kirkness drilled 33 diamond drill holes. Table 10-2 provides details of the drilling undertaken from 2006 to 2011.

 

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Table 7-2: Summary of 2006 to 2011 diamond drilling at CuMo

 

Hole Northing Easting Elevation Dip Azimuth Length (ft)
27-06 120,032 220,208 6,351 -90 0 1,849 completed
28-06 119,540 220,817 6,321 -90 0 1,716 completed
29-07 119,779 221,247 6,344 -70 140 2,281.7 completed
30-07 119,732 219,617 6,213 -90 0 2,411.5 completed
31-07 119,792 221,243 6,342 -70 45 2,104 completed
32-07 119,558 220,823 6,324 -70 190 2,044 completed
33-07 118,477 221,227 6,797 -90 0 2,095 stopped
34-07 118,658 220,487 6,534 -70 95 1,769 stopped
35-08 118,655 220,480 6,533 -90 0 2,817 completed
36-08 119,335 219,449 6,275 -90 0 2,488 completed
37-08 119,780 221,247 6,341 -70 335 2,195 completed
38-08 118,655 220,480 6,533 -70 180 2,441 completed
39-08 118,918 220,813 6,575 -90 0 2,688 completed
40-08 119,530 220,791 6,321 -70 225 2,252 completed
41-08 119,630 218,962 6,220 -90 0 3,018 completed
42-08 118,749 219,911 6,549 -70 270 2,707 stopped (winter)
43-08 120,613 220,053 6,174 -80 40 1,308 stopped by fault
44-08 118,085 221,516 6,739 -65 75 3,047 completed
45-08 119,802 218,821 6,184 -80 330 1,796 stopped (winter)
46-09 118,914 220,811 6,575 -75 110 959 stopped
47-09 120,687 219,422 5,833 -90 0 2,530 completed
48-09 120,690 219,425 5,826 -70 305 2,576 completed
49-09 119,095 221,746 6,645 -90 0 2,847 completed
50-09 121,548 219,844 5,833 -75 270 1,826 completed
51-09 121,535 219,860 5,829 -90 0 1,593.5 completed
52-09 118,500 221,251 6,791 -75 20 2,772 completed
53-09 119,804 218,831 6,183 -75 15 2,461 completed
54-09 119,535 219,005 6,196 -75 15 1,096 completed
55-10 117,560 218,422 6,724 -65 0 2,479 completed
56-10 117,560 218,422 6,724 -65 305 1,294 completed
57-10 117,559 218,422 6,724 -90 0 534 stopped (winter)
58-11 119,143 219,970 6,451 -90 0 1,885 completed
59-11 119,096 221,746 6,645 -75 0 1,910 completed

 

Note: Hole 27-06 was started in 2006 and completed in 2007. With footage recorded in Table 10-1 in both 2006 and 2007.

 

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All CuMoCo drilling programs were directly supervised by onsite geology staff located in Garden Valley, Idaho. Drilling consisted of both HQ and NQ diameter core with holes being started with HQ diameter and then reducing at a major fault intersection or at 1000 feet which ever was less. Core recoveries were monitored and were excellent (90%+)

 

All CuMoCo holes were surveyed down-the-hole at regular intervals (100 feet) using a Reflex survey instrument.

 

All core was collected at the drill site by the diamond drillers under supervision of onsite geology staff and delivered to the secure warehouse facility in Garden Valley where they were logged, analyzed and samples collected. All drill sites were surveyed using a total field station in order to accurately locate the holes. Section 8.1 gives more details on the sampling procedures and core box handling methods employed.

 

Figure 10-1 shows the locations of all holes drilled to date in the deposit, as well as the future locations of the 33 drill-holes proposed in the recommendations in Section 23 of this report. Figure 10-2 and Figure 10-3 show typical sections through the deposit.

 

A summary of significant intersections for all the CuMo drilling undertaken by CuMoCo is given in Table 10-3.

 

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Source: Giroux et al, 2015 modified 2019

 

Figure 7-1: Map showing the location of completed and proposed drill holes

 

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Source: Giroux et al, 2015 modified 2019

 

Figure 7-2: CuMo deposit Q-Q cross section

 

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Source: Giroux et al, 2015 modified 2019

 

Figure 7-3: CuMo deposit H-H cross section

 

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Table 7-3: Significant intersections from CuMo drilling

 

Hole

(Name)

From

(meters)

To

(meters)

Length

(meters)

Zone

Cu

equiv. %

MoS2

equiv. %

MoS2

(%)

Cu

(%)

Ag

(ppm)

Re

(ppm)

W

(ppm)

C71-01 70.4 574.2 503.8 main 0.38 0.088 0.059 0.12 2.59 0.00 46
C71-01 118.9 143.3 24.4 Incl. 0.53 0.122 0.099 0.14 2.56 0.00 44
C71-01 518.2 574.2 56.1 Incl. 0.49 0.114 0.100 0.08 1.21 0.00 54
C72-05 137.2 431.6 294.4 main 0.43 0.099 0.060 0.13 4.46 0.00 75
C74-09 140.2 245.2 105.0 main 0.54 0.126 0.077 0.12 7.16 0.00 71
C75-10 67.1 658.4 591.3 main 0.47 0.109 0.099 0.05 1.43 0.00 48
C76-11 42.7 740.1 697.5 main 0.36 0.084 0.074 0.05 1.55 0.00 36
C76-11 396.2 597.4 201.2 Incl. 0.55 0.128 0.127 0.03 0.77 0.00 58
C76-12 29.9 435.9 405.9 main 0.25 0.058 0.041 0.06 1.66 0.00 45
C77-13 207.3 549.9 342.6 main 0.51 0.119 0.111 0.05 1.98 0.00 49
C77-14 237.7 647.3 409.6 main 0.53 0.124 0.114 0.06 1.84 0.00 65
C77-14 365.8 597.4 231.6 Incl. 0.68 0.158 0.151 0.06 1.91 0.00 74
C77-15 182.9 589.2 406.4 main 0.53 0.123 0.113 0.06 1.73 0.00 57
C77-15 384.0 573.0 189.0 Incl. 0.64 0.150 0.153 0.02 0.75 0.00 69
C78-16 304.8 649.7 344.9 main 0.44 0.102 0.093 0.04 1.86 0.00 32
C78-17 353.6 695.4 341.8 main 0.37 0.086 0.064 0.08 2.55 0.00 40
C78-18 426.7 719.6 292.9 main 0.62 0.144 0.129 0.08 2.71 0.00 41
C79-19 36.6 694.9 658.4 main 0.51 0.118 0.101 0.08 2.27 0.00 49
C79-20 50.3 548.6 498.3 main 0.43 0.099 0.069 0.11 3.83 0.00 52
C81-25 57.9 308.2 250.2 main 0.43 0.101 0.070 0.13 2.42 0.00 58
C81-25 225.6 308.2 82.6 Incl. 0.53 0.124 0.090 0.14 2.98 0.00 84
C81-26 9.1 228.6 219.5 main 0.41 0.094 0.034 0.18 7.58 0.00 28
C06-27 36.6 563.6 527.0 main 0.42 0.097 0.084 0.06 1.60 0.02 49
C06-27 329.2 563.6 234.4 Incl. 0.58 0.136 0.133 0.04 0.99 0.04 59
C06-28 15.2 515.1 499.9 main 0.47 0.110 0.097 0.07 1.92 0.05 54
C06-28 256.0 378.0 121.9 Incl. 0.70 0.162 0.162 0.03 0.98 0.09 68
C07-29 57.9 679.7 621.8 main 0.52 0.121 0.103 0.08 2.13 0.05 53
C07-29 359.7 545.6 185.9 Incl. 0.74 0.171 0.169 0.04 1.2 0.08 37
C07-30 12.2 727.3 715.1 main 0.52 0.122 0.108 0.06 2.05 0.04 41
C07-30 359.7 605.9 246.3 Incl. 0.80 0.187 0.185 0.04 1.46 0.07 37
C07-31 6.7 641.3 634.6 main 0.34 0.079 0.064 0.07 1.76 0.02 43
C07-31 237.7 469.4 231.6 Incl. 0.40 0.092 0.081 0.05 1.45 0.03 45
C07-32 6.7 641.3 634.6 main 0.55 0.129 0.109 0.09 2.26 0.04 61
C07-32 237.7 469.4 231.6 Incl. 0.65 0.151 0.129 0.10 2.62 0.05 77
C07-33 220.0 638.3 418.2 main 0.20 0.048 0.026 0.07 2.01 0.01 48
C07-33 603.5 638.3 34.7 Incl. 0.48 0.111 0.084 0.10 2.68 0.03 67
C07-34 42.7 539.2 496.5 main 0.25 0.058 0.034 0.08 2.30 0.01 53
C07-34 472.4 539.2 66.8 Incl. 0.41 0.096 0.074 0.09 2.36 0.02 67
C08-35 36.6 804.7 768.1 main 0.31 0.072 0.057 0.06 1.73 0.02 37
C08-35 128.0 804.7 676.7 Incl. 0.33 0.077 0.062 0.07 1.69 0.02

39

 

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Hole

(Name)

From

(meters)

To

(meters)

Length

(meters)

Zone

Cu

equiv. %

MoS2

equiv. %

MoS2

(%)

Cu

(%)

Ag

(ppm)

Re

(ppm)

W

(ppm)

C08-35 527.3 804.7 277.4 Incl. 0.43 0.100 0.089 0.05 1.37 0.03 35
C08-36 170.7 758.3 587.7 main 0.43 0.100 0.088 0.05 1.42 0.03 34
C08-36 280.4 758.3 477.9 Incl. 0.39 0.090 0.103 0.04 1.04 0.03 33
C08-37 18.3 669.0 650.7 main 0.43 0.100 0.084 0.05 1.67 0.03 42
C08-37 237.7 649.2 411.5 Incl. 0.40 0.094 0.104 0.02 1.17 0.04 41
C08-38 51.8 744.0 692.2 main 0.46 0.106 0.029 0.06 4.40 0.00 32
C08-39 94.5 819.3 724.8 main 0.24 0.056 0.099 0.06 1.38 0.03 52
C08-39 274.3 728.5 454.2 Incl. 0.47 0.109 0.122 0.04 1.09 0.04 57
C08-40 18.3 686.4 668.1 main 0.54 0.127 0.115 0.06 3.79 0.04 46
C08-40 118.9 634.0 515.1 Incl. 0.57 0.133 0.129 0.06 4.27 0.05 45
C08-40 338.3 554.7 216.4 Incl. 0.64 0.150 0.142 0.04 7.78 0.06 45
C08-41 259.1 862.6 603.5 main 0.75 0.173 0.067 0.08 2.23 0.02 43
C08-41 454.2 618.7 164.6 Incl. 0.38 0.088 0.107 0.08 2.99 0.03 38
C08-41 759.0 862.6 103.6 Incl. 0.56 0.129 0.077 0.06 1.53 0.03 34
C08-42 167.6 825.1 657.5 main 0.38 0.089 0.044 0.06 5.81 0.01 25
C08-42 289.6 825.1 535.5 Incl. 0.33 0.077 0.047 0.07 6.78 0.01 27
C08-42 600.5 825.1 224.6 Incl. 0.36 0.084 0.063 0.05 1.61 0.01 21
C08-43 50.3 397.2 346.9 main 0.32 0.075 0.044 0.09 4.23 0.02 52
C08-43 201.2 249.9 48.8 Incl. 0.48 0.053 0.07 0.11 3.14 0.03 45
C08-44 342.9 865.6 522.7 main 0.71 0.078 0.03 0.02 0.89 0.01 29
C08-44 780.3 819.9 39.6 Incl. 0.15 0.035 0.06 0.02 1.47 0.01 20
C08-45 51.8 547.4 495.6 main 0.27 0.062 0.02 0.15 3.08 0.00 42
C08-45 307.8 547.4 239.6 Incl. 0.27 0.062 0.03 0.18 3.05 0.00 40
C09-46 91.4 292.3 200.9 main 0.33 0.077 0.03 0.09 2.61 0.01 55
C09-47 88.4 529.3 440.9 main 0.27 0.062 0.07 0.18 4.29 0.02 20
C09-47 292.6 865.6 573.0 main 0.42 0.097 0.05 0.18 5.03 0.02 20
C09-48 463.3 737.6 274.3 Incl. 0.40 0.094 0.08 0.05 1.70 0.03 17
C09-49 246.9 464.7 217.8 main 0.38 0.087 0.11 0.06 1.91 0.04 17
C09-49 158.5 478.5 320.0 main 0.48 0.112 0.03 0.15 5.29 0.01 20
C09-50 271.3 823.0 551.7 main 0.31 0.072 0.04 0.15 4.86 0.02 19
C09-51 545.6 804.7 259.1 Incl. 0.34 0.080 0.09 0.07 1.69 0.03 18
C09-52 243.8 753.2 509.3 main 0.43 0.100 0.14 0.05 1.29 0.06 17
C09-52 460.2 753.2 292.9 Incl. 0.63 0.147 0.09 0.19 4.07 0.02 18
C09-53 179.5 334.1 154.5 main 0.42 0.098 0.12 0.15 3.68 0.03 19
C09-53 70.1 128.0 57.9 main 0.49 0.113 0.11 0.05 1.69 0.03 17
C09-54 362.7 365.8 3.0 Incl. 0.20 0.045 0.03 0.07 35.44 0.00 21
C10-55 67.1 152.4 85.3 main 0.25 0.057 0.04 0.01 0.42 0.01 21
C10-55 91.4 149.4 57.9 main 0.49 0.071 0.07 0.02 3.80 0.02 21
C10-56 67.1 152.4 85.3 main 0.15 0.035 0.03 0.01 0.01 0.01 25
C10-57 91.4 149.4 57.9 main 0.35 0.082 0.07 0.02 0.02 0.02 18

 

Note: description of how the equivalent values are calculated is provided in Section 10.6 below

 

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The 2006-2011 results confirmed the extent and grade of mineralization on the property as indicated by previous drilling and demonstrated continuity of mineralization between the original wide-spaced holes.

 

The 2006-2011 drilling data supports the presence of three distinct mineralized zones within the deposit. Amax previously interpreted these zones as distinct shells that were produced by separate intrusions. Re-interpretation of the geology, alteration and down-hole histograms for Cu, Ag and Mo have confirmed the mineralized zones are a part of a single, large, concentrically zoned system with an upper Cu-Ag Zone, underlain by a transitional Cu-Mo Zone, in turn underlain by a lower molybdenum-rich Mo Zone (Figure 10-2).

 

7.52012 Drill Program

 

In 2012, a total of 4,213.3 m (15,463 ft) in nine holes were completed (Table 10-4). The holes were located to infill gaps in the existing drilling coverage and were drilled along existing tracks and roads. All holes were surveyed down-the-hole at regular intervals using a Reflex survey instrument. Co-ordinates, elevations and lengths are in feet.

 

Table 7-4: Summary of 2012 diamond drilling

 

Hole Year Easting Northing Elevation Dip Azimuth Length Comment
12-60 2012 218,422 117,560 6,724 -50 180 1455 Completed
12-61 2012 219,911 118,749 6,549 -75 335 1318 Stopped
12-62 2012 218,041 116,866 6,629 -50 135 1484 Completed
12-63 2012 218,042 116,867 6,629 -60 330 807 Completed
12-64 2012 220,811 118,914 6,575 -75 25 2139 Completed
12-65 2012 221,118 118,149 6,786 -80 315 1908 Completed
12-66 2012 221,688 118,674 6,690 -90 0 2241 Completed
12-67 2012 220,811 118,914 6,575 -70 340 1978 Completed
12-68 2012 221,746 119,096 6,645 -70 310 2134 Completed

 

A summary of significant intersections for all the CuMo drilling undertaken by CuMoCo is given in Table 10-5 and Table 7-7.

 

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Table 7-5: Significant intersections from 2011-2012 CuMo drilling

 

Hole Name From
(metres)
To
(metres)
Length
(metres)
Zone MoS2
(%)
Cu (%) Ag
(ppm)
Re
(ppm)
W (ppm)
C11-58 213.4 574.5 361.2 main 0.08 0.07 0.07 0.03 41
C11-59 152.4 582.2 429.8 main 0.07 0.13 0.13 0.02 109
C12-60 70.1 118.9 48.8 main 0.05 0.02 0.02 0 7
C12-61 121.9 401.4 279.5 main 0.03 0.11 0.11 0.01 28
C12-62 No significant intersections: hole drilled away from deposit 
C12-63 184.4 189 4.6 main 0 0.21 130.6 0 7
C12-64 91.4 667.5 576.1 main 0.08 0.07 1.77 0.03 47
C12-64 301.8 573 271.3 Incl. 0.12 0.07 1.6 0.04 59
C12-65 167.6 478.5 310.9 main 0.02 0.05 1.23 0.01 44
C12-66 121.9 401.4 279.5 main 0.02 0.06 1.58 0 40
C12-66 163.1 401.4 238.4 Incl. 0.02 0.07 1.69 0 45
C12-67 173.7 600.5 426.7 main 0.1 0.09 2.11 0.04 56
C12-67 277.4 600.5 323.1 Incl. 0.12 0.08 1.66 0.05 61
C12-68 277.4 548.6 271.3 main 0.1 0.08 1.85 0.04 73
C12-68 402.3 548.6 146.3 Incl. 0.13 0.07 1.77 0.06 65

 

NoteThe convention for the CuMo project has been to measure percent elemental molybdenum (%Mo) in assays and to calculate %MoS2 by multiplying %Mo by 1.6681.

 

Table 7-6: Recoverable equivalent grades for significant intersections from 2011-2012 CuMo drilling

 

Hole Name Length (metres) RecG* MoS2 equiv. (%) RecG* Cu equiv. (%)
C11-58 361.2 0.100 0.43
C11-59 429.8 0.125 0.54
C12-60 48.8 0.068 0.29
C12-61 279.5 0.061 0.27
C12-62 No significant intersections: hole drilled away from deposit
C12-63 4.6 0.556 2.39
C12-64 576.1 0.097 0.41
C12-64 271.3 0.130 0.56
C12-65 310.9 0.031 0.14
C12-66 279.5 0.031 0.14
C12-66 238.4 0.034 0.15
C12-67 426.7 0.119 0.51
C12-67 323.1 0.130 0.56
C12-68 271.3 0.112 0.48
C12-68 146.3 0.143 0.61

 

* - RecG = Recoverable grades expressed as recoverable equivalent-metal grades (Section 7.6).

 

Notes: These values are NOT additive and are simply different ways of expressing the poly-metallic material in terms of recoverable equivalent grade. Each value reflects all relevant metal grades in the intersections.

 

The convention for the CuMo project has been to measure percent elemental molybdenum (%Mo) in assays and to calculate %MoS2 by multiplying %Mo by 1.6681.

 

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7.6Metal Equivalent Calculations

 

Because of the multi-element nature of the mineralization and mineral zoning, it was decided to calculate both a copper and molybdenum equivalent for the intercepts. The following outlines the calculations involved:

 

Metal equivalents for mineral equivalent calculations were based on metal prices outlined in Table 7-7.

 

Table 7-7: Metal prices used to calculate copper and molybdenum equivalent

 

Metal Price ($US) Unit
Copper 2.50 lb
Molybdenum trioxide 10.00 lb
Silver 0.35 ppm

 

Estimated metallurgical recoveries used in the calculations are outlined in Table 7-8.

 

Table 7-8: Metallurgical recoveries used to calculate copper and MoS2 equivalent

 

Mineral Zone Mo% Cu% Ag %
OX 80 60 70
Cu-Ag 85 68 73
Cu-Mo 92 87 78
Mo 95 80 55
MSI 95 80 55

 

Recovery (Rec) is taken from the above table for each assay in a particular mineral zone and applied in the following formula to derive the equivalents:

 

%Cu Equiv. = (%Cu x 20 x $(Cu) x Rec(Cu) + %MoS2 x 20 x $(MoO3) x (1.5/1.6681) x Rec(Mo) +

Ag x $(Ag) x Rec(Ag)) / ($(Cu) x Rec(Cu) x 20)

 

%MoS2 Equiv. = (%Cu x 20 x $(Cu) x Rec(Cu) + %MoS2 x 20 x $(MoO3) x (1.5/1.6681) x Rec(Mo) +

Ag x $(Ag) x Rec(Ag)) / ($(MoO3) x Rec(Mo) x 20 x 1.5/1.6681)

 

Note that since the convention on the CuMo project has been to work with %MoS2 for resource estimation, in the foregoing equivalency formulae, %MoS2 is converted back to %Mo by dividing by 1.6681. %Mo is then converted to %MoO3 by multiplying by 1.5. Also, the %MoS2 Equiv values would be 1.6681 times greater than %Mo Equiv.

 

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Table 7-9: Terms used in formulae for equivalent grade calculations

 

Term Definition
%Cu Copper grade in %
$(Cu) Copper price per pound
Rec(Cu) Copper recovery
%MoS2 Molybdenum disulfide (molybdenite) grade in %
$(MoO3) Molybdenum oxide price per pound
Rec(Mo) Molybdenum recovery
Ag Silver grade in ppm
$(Ag) Silver price per gram
Rec(Ag) Silver Recovery
%Cu. Equiv. Copper equivalent in-situ grade
%MoS2 Equiv. Molybdenite equivalent in-situ grade

 

Note: Only molybdenum (as grade of MoS2 and conventional pricing of MoO3), copper and silver are used in the equivalent calculations.

 

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8Sample Preparation, Analyses, and Security

 

The QP has reviewed the procedures followed by CuMoCo and by third parties on behalf of CuMoCo, and believes these procedures are consistent with industry best practices and acceptable for use in geological and resource modelling.

 

8.1General sampling

 

Sampling was restricted during 2006 to 2012 to diamond drill hole (DDH) core and metallurgical sampling of previously drilled DDH core. Standard core sampling methods were employed for both drill core and metallurgical samples.

 

At the time of drilling, each core box was clearly labeled by the driller’s helper with the DDH hole number, core box number, and “to” and “from” drill core footages. Wooden core boxes were used at all times, and full core boxes were sealed with a lid. The driller(s) and/or geologist(s) then delivered the core boxes to the secure core storage warehouse located in Garden Valley, Idaho. The core boxes were laid out in sequence upon long tables specifically made for core logging purposes. A geologist then logged the core for lithology, structure, alteration and mineralization. Geotechnical measurements for RQD were recorded. Each core box was additionally labelled using a metal Dymo® labelling tool for long-term preservation of identification. The core was photographed, two boxes at a time, using a mounted Nikon digital camera. It was then delivered to the core-cutting technician. The photographs were downloaded onto computer files specific to each drill hole.

 

A core technician using a standard rock saw sampled the core using typical procedures. Half-core was collected at regular 10 ft intervals for analysis. Sample lengths were adjusted to lithological contacts in cases where barren dikes were intersected.

 

Half core sample intervals were placed in ether cloth or heavy plastic sample bags with the sample number placed on the outside of the bag in black permanent marker. Individual sample interval tags were included in each sample bag. The bag was then secured with a wire tie and placed within a plastic transport crate for shipping.

 

MoS2 loss from soft fracture fillings being washed away when the core was sawed in half have been noted at CuMo. Although there is no physical way to eliminate this problem at present, other than schooling the technicians on the extra care needed when sawing a soft fracture zone, geologists at CuMo have addressed possible inadvertent contamination of other core from MoS2 enriched water from the rock saw’s water recirculation tank. The cut core was given a second clear water bath prior to being bagged or stored and the recirculation tank was voided and refilled based upon clarity.

 

The half core was sent for analysis, and the other half was retained and stored at the core storage warehouse in Garden Valley, Idaho. The retained core was replaced in their original core boxes which were sealed with a plywood cover and stacked upon a standard pallet. Each plywood cover was clearly labelled with the core’s information. The pallet was then strapped with a metal banding tool and stored within the archive section of the core storage warehouse in Garden Valley, Idaho.

 

Blanks and standards were inserted into the sample stream at a frequency of one every 20 samples. The core-cutting technician selected the exact intervals and noted them on the sample logs. The core technician inserted the blanks whereas the standards were selected and inserted by the geologist-in-charge.

 

Standards were selected from three bulk standards (low, medium and high grade) that were prepared from historic CuMo drill core samples. Standards were selected on the basis of appropriate grade to match the estimated grade of the core adjacent to each standard sample interval.

 

The standards were prepared and packaged by CDN Resource Laboratories Ltd. (CDN Labs) of Surrey, British Columbia. Each bulk sample was pulverized in a large rod mill, screened through 200 mesh using an electric sieve, and homogenized in a large rotating mixer. Each standard was sealed in plastic to prevent gravity separation and oxidation. The standards were certified by Smee & Associates Consulting Ltd. of North Vancouver, British Columbia, based on round-robin analysis at five laboratories using a four-acid digestion and ICP-ES finish (Table 11-1). Note that the Mo ppm values reflect measured Mo metal (not MoS2).

 

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Table 8-1: Certified standards prepared for CuMo project

 

Standard

Element Certified Mean Standard Deviation (between lab)
Standard 1 Total Cu 1138 ppm 65 ppm
Total Mo 367 ppm 19 ppm
Standard 2 Total Cu 151 ppm 8 ppm
Total Mo 995 ppm 41 ppm
Standard 3 Total Cu 840 ppm 35 ppm
Total Mo 54.0 ppm 3.7 ppm

 

The bagged core samples were string or wire tied and then stored temporarily in holding pallets at the core storage warehouse in Garden Valley. When enough samples were accumulated, the samples were delivered by CuMoCo personnel to ALS-Chemistry (ALS Chemex) in Elko, Nevada for preparation and analysis.

 

8.2Density Determinations

 

Historical specific gravity determinations were made by Amax for CuMo for each mineralized zone. The measurements were made using the weight in air/weight in water procedure by Skyline Laboratories of Colorado. CuMoCo, prior to 2012, had occasional density measurements at ALS-Chemex’s lab.

 

In 2012, CuMoCo initiated a regular density measurement program where 4 to 6-inch skeletons of half-cores from each sample interval that are representative of the 10 ft interval are analyzed. The following equipment was used in the analysis which has been added to the regular core processing routine: 4000 grams (g) Sartorius Extend Series Digital Scale, with hook attachment, stand for scale, bucket distilled water, bricks, computer with MS EXCEL®, 2000 g calibration weight.

 

The density calculations are as follows:

 

Weight in air / (Weight in air – Weight in water)

 

The following data were recorded on the EXCEL® spreadsheet in accordance with the example structure shown in Table 11-2.

 

Table 8-2: Density data example

 

Hole

Sample Dl Mg Ml Ds Diameter Scanner Max Scanner Avg Code
C08-41 95.5 1 396.53 240.82 2.55 16 0.101 0.048 Cu-Ag

 

The hole number is listed along with the depth of the sample. Dl is the density of the distilled water, Mg is the mass of the sample in air, Ml is the mass of the sample in water, and Ds is the density of the solid. A zone code is also added to identify the mineralized zone of the sample.

 

A total of 4,339 density measurements were completed on holes C08-41 to C12-68.

 

An additional density measurement of the bulk sample delivered to SGS was done as part of the metallurgical study, the density obtained by SGS confirmed the earlier density measurements done by Amax.

 

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Table 11-3 outlines the density values for each of the different mineralized zones plus dykes.

 

Table 8-3: Density measurement results summary

 

Grade Domain Code

Density (tonnes per m3) Sample Count
OX 2.50 578
Cu-Ag 2.58 1496
Cu-Mo 2.58 1458
Mo 2.57 638
MSI 2.57 91
DYKE 2.52 78

 

8.3Assay Techniques

 

Samples submitted by Kobex were routinely analyzed by the ALS-Chemex ME-ICP61 procedure code for 39 elements using a four-acid digestion with analysis by Plasma Emission Spectroscopy (ICP-AES).

 

Samples submitted by CuMoCo were routinely analyzed by ALS-Chemex , an independent ISO 9002 certified laboratory, ME-MS ICP61 procedure code for 47 elements using a four-acid digestion with analysis by Inductively Coupled Plasma Mass Spectrometry (ICP-MS).

 

Samples submitted by CuMoCo for inter-laboratory check analysis were analyzed by SGS, an independent ISO 9002 and ISO 17025 accredited laboratory, by the SGS ICM40B for 50 elements using a four-acid digestion/ICP-AES and ICP-MS.

 

The assay methods report the main element results as follows:

 

Molybdenum as ppm Mo, which is stored as both ppm Mo metal and molybdenum disulphide (MoS2%) in the database to reflect the actual natural material.

 

Copper in ppm Cu, which is stored in the database as both ppm and percent copper (Cu%).

 

Silver in ppm Ag and stored as ppm, grams/tonne and ounces/ton in the database.

 

W in ppm and stored in the database as ppm.

 

Rhenium is reported in ppm and stored in the database as ppm.

 

8.4Security

 

A contemporary, well-kept, large steel building was used to warehouse CuMoCo’s core, samples, sampling equipment and field office at the CuMo project headquarters in Garden Valley, Idaho. The building is well-lit and insulated with heavy metal doors that have security locks.

 

The building is located on the property of a nearby landowner and is on a state highway, which local law enforcement regularly patrols. Additionally, a geologist lives on the property for most of the year in an apartment that adjoins the metal building. Core is stored on pallets that are stacked two high and bound by metal strapping. Bagged samples waiting to be shipped are kept in high-walled pallets in a central location within the building.

 

The area where the samples are kept is well-lit, well ventilated and easy to observe by staff. The floor is reinforced concrete and the walls are steel. There are few windows. CuMoCo personnel are present on a nearly 24-hour basis in season. Off-season, a local watchman lives adjacent to the property and provides security for the building and its contents.

 

In 2017, all core, rejects and information was moved from Garden Valley to a larger secure warehouse in nearby Horseshoe Bend, which has the same level of security as the one in Garden Valley with the exception that the geologist, as of the date of the current report, no longer lives at the property.

 

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8.5QA/QC Programs

 

8.5.1Historical Checks

 

In a June 2005 report (Giroux et. al, 2005), there were six data sets available to verify the original Skyline MoS2 assay data base (pre-CuMoCo involvement in project). The original Skyline assays were re-assayed by Skyline at three stages of the sampling procedure; from core duplicate samples, from splits of rejects and from splits from pulps. Three inter lab sets of duplicates are also available to compare with the Skyline original assays; a pulp sent to Amax Lab in Climax from diamond drill hole assays, a second split at the drill of reverse circulation drill cuttings and a selected set of samples sent to Hazen Laboratory. The results from all comparisons are presented as scatter plots in Appendix 5 and discussed below.

 

It should be noted that the convention for the CuMo project has been to measure percent elemental molybdenum (%Mo) in assays and to calculate %MoS2 by multiplying %Mo by 1.6681. Both %Mo and %MoS2 are stored in the project’s database, and the latter, %MoS2, is used in resource estimates and mine planning. Consequently, in the following descriptions, where %MoS2 grades are compared, these are the calculated MoS2 grades based on the underlying %Mo assays.

 

The first set compares 64 original MoS2 values with duplicate core samples both run at Skyline Laboratory. Figure A5.1 shows a very slight proportional bias indicated with the best fit regression line pulled below the equal value line, but more than likely this is simply a function of the wide random scatter in the data. The correlation coefficient is only 0.7061 indicating the amount of scatter about the best fit regression line seen in Figure A5.1. The average precision of ±78% again points to a high sampling variability between core samples.

 

A second subset of checks consisted of 25 original Skyline assays compared to re-splits of rejects also run by Skyline. This data set shows a very slight fixed bias with the best fit regression line, seen in Figure A5.2, a constant 0.0011 % MoS2 below the equal value line. The coefficient of correlation is a very good 0.9666. The average precision of this test is ±20%. This indicates good reproducibility between samples after initial crushing.

 

A third test was on a total of 408 samples that were reanalyzed by Skyline by taking a second assay from the pulp. This comparison is shown in Figure A5.3. The best fit regression line through the data mirrors the equal value line, indicating no bias. The correlation coefficient is 0.9891. The precision on the estimate is very good at ±23%.

 

The fourth check on the historic data consisted of a total of 303 sample pulps from diamond drill holes that were analyzed for MoS2 by both Skyline and Amax. The results are shown in Figure A5.4. There is no bias indicated with the best fit regression line pulled slightly below the equal value line by a single high valued outlier. There appears to be an equal number of samples falling on either side of the equal value line. The correlation coefficient was excellent at 0.9671. The precision which is a measure of the reproducibility of a result by repeated attempts was ±56.5%.

 

A fifth set of duplicates compared original MoS2 results to an Amax second split of cuttings in a total of 57 samples from reverse circulation drill holes (see Figure A5.5). This subset shows no apparent bias, with the best fit regression line and equal value line being very close. The correlation coefficient of 0.5989 is lower than previous comparisons and the data shows much more scatter. The average precision is a much higher ±101%. This is a very poor comparison between two laboratories with a large degree of random scatter that is probably more the result of the two splits from the RC cuttings than a comparison of the laboratories.

 

A final test on Skyline original samples was a set of 10 samples sent to Hazen Research. While this is hardly a representative sample, the results shown in Figure A5.6 show a pronounced proportional bias with the best fit regression line pulled below the equal value line. On average, the original Skyline assays for MoS2 were 0.70 of the value indicated by Hazen. A total of 8 out of 10 samples returned higher values at Hazen. The correlation coefficient was poor at 0.7281 and the average precision was ±55%.

 

In general, the results from the first three tests at Skyline showed increasing precision and lower sampling variability from splits of core to splits from rejects to splits from pulps as would be expected. The inter-lab test from diamond drill pulps between Skyline and Amax showed good agreement and no bias. A similar check between Skyline and Amax on two splits from RC cuttings again showed no bias but higher sampling variability. The final limited test of 10 samples comparing original Skyline results with Hazen checks showed a strong bias with Hazen overestimating MoS2 relative to Skyline.

 

The sample preparations and analyses done historically were made by a large, professional international mining company, Amax, who ostensibly used professional sampling and assaying laboratories for their samples taken in the project area. There is no reason to suspect any irregularities or question the results of the historic sampling.

 

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8.5.2Blanks

 

During CuMoCo’s diamond drill programs blank samples were inserted in the sample stream at or about a 1 in 20 frequency. A total of 431 were analyzed for Mo, Cu, Ag, Re, Ga, W, Fe and S. The results were very good with no anomalies produced. The graphs for MoS2 (calculated) and Cu are shown in Figure 11-1.

 

Source: Giroux et al, 2015

 

Note: MoS2 grade is on the y-axis and sample number on x axis

 

Figure 8-1: MoS2 in blank samples from CuMoCo drill programs at CuMo

 

Source: Giroux et al, 2015

 

Note: Cu grade is on the y-axis and sample number on x axis

 

Figure 8-2: Cu in blank samples from 2008 drill program CuMo

 

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8.5.3Internal Lab Standards

 

The primary laboratory, ALS Chemex, inserted a blank and standard with every batch run during 2008. The policy was that unless the correlation results were excellent the batch was redone. A total of 180 blanks and 346 standard results were provided with the analysis.

 

8.5.4Internal Pulp Checks

 

ALS Chemex also routinely ran duplicate checks on sample pulps. Over the 2007-2012 drill program a total of 143 check samples were run for Mo. Figure 11-3 and Figure 11-4 shows the results are excellent with all but a few samples falling on an equal value line. The best fit regression line mirrors the equal value line.

 

Source: Giroux et al, 2015

 

Figure 8-3: Scatter plot of Chemex internal duplicates for Mo ppm (Mo metal)

 

Source: Giroux et al, 2015

 

Figure 8-4: Scatter plot of Chemex internal duplicates for Cu ppm

 

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8.5.5CuMoCo Standards

 

As explained in Section 11.1, CDN Labs prepared a set of standards using drill core from the CuMo property. Results for Standard 1 (see Figure 11-5), the medium grade standard for MoS2 (calculated) and highest grade for Cu, show results are reasonable with most falling between the mean ± 2.5 standard deviations.

 

 

Source: Giroux et al, 2015

 

Figure 8-5: Results for Standard S1

 

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Results for Standard S2, a higher grade MoS2 and low grade Cu standard, show reasonable results for Cu and MoS2 assays (see Figure 11-6) with all falling between the mean ± 2.5 standard deviations.

 

 

 

Source: Giroux et al, 2015

 

Figure 8-6: Results for Standard S2

 

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The results for Standard S3 are also reasonable with more noise in the analysis, due to the low grade values encountered, but no large variations are observed. See Figure 11-7.

 

 

 

Source: Giroux et al, 2015

 

Figure 8-7: Results for Standard S3

 

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8.5.6Coarse Reject Duplicates

 

Coarse reject duplicate samples are duplicate samples that are taken after first crushing. At the ALS Chemex Laboratory in Elko, where the diamond drill hole core samples were crushed in the first step in the preparation stage, two duplicate samples were taken for roughly every 20th sample being analyzed by splitting the crushed half core. CuMoCo have been taking coarse reject duplicates since 2006. Coarse reject duplicates were submitted to measure the precision of the sample preparation and analysis process. The first duplicate underwent the same analytical procedure as the original sample (ICP-MS61), while the second duplicate was analyzed for molybdenum and copper using x-ray fluorescence (XRF) technique. Doing this confirmed not only the sample variability but variability in analytical techniques.

 

708 duplicate samples were submitted in between 2008 and 2012, for a submission frequency rate of 1 in 20 samples. The results are presented as a series of scatter plots with all variables reported in ppm and are shown in Appendix 2.

 

Overall, the results of the CuMoCo coarse crushed duplicates from drill core samples show good precision and no evidence of sampling bias. Silver duplicate analyses tend to show some scatter but are within acceptable tolerance limits. Precision plots yield good results, with an average of 80% of the data plotting within 20% of their respective duplicate samples, whilst an average of 55% of the data plot is within 10%. The results of the field duplicate samples are shown in Appendix 2.

 

8.6Survey Validation

 

In 2007, CuMoCo established a survey control network completed by Geoterra Integrated Resource System Ltd. which included 24 control points surveyed by a licensed legal land surveyor, Shelby H. Griggs of Boise, Idaho. The survey was established using NAD83(1999)(HARN) UTM Zone 11 coordinates and NAVD88 elevations. Points included several drill holes completed before Hole 30. Monument control points were permanently marked with aluminum land survey pins. Future drill holes sites were surveyed using a total GPS station tying into the original survey points. In 2012, Sacré-Davey conducted a re-survey of previous holes and also surveyed 2012 holes and found no discernible difference in older hole locations.

 

All CuMoCo drill holes (i.e. 2008 and later) were surveyed down-the-hole using a Reflex survey instrument. Holes prior to 2008 were surveyed by either Troparia and/or single shot Sperry Sun survey tools.

 

The QP examined the survey database, survey reports and data base to confirm data was valid and visited and checked some of the drill sites during a site visit.

 

8.7Verification of Drilling Data

 

Data prior to 2008 was verified and validated by Ausenco who compared and checked the data for errors in the compiled data from the header, survey, assay, geology and geotechnical tables are validated for missing, overlapping or duplicated intervals or sample numbers, and for matching drill hole lengths in each table. Drill hole collars and traces were viewed on plan view and in section as a visual check on the validity of the collar and survey information.

 

In 2012, Snowden repeated the same process on all data prior to 2012.

 

9Data Verification

 

The section discusses the procedures completed by the author to verify the data. The qualified person has reviewed the procedures used by CuMoCo and produced a description and an analysis of the results as contained in Section 8. These are standard data verifications with no limitations.

 

All assay results used in the verification process by the qualified person were obtained from fully certified analytical laboratories with signed assay certificates.

 

The QP has reviewed the data collection and verification procedures followed by CuMoCo and by third parties on behalf of CuMoCo, and believes these procedures are consistent with industry best practices and acceptable for use in geological and resource modelling.

 

Sections 8.5 through 8.7 describe data verification done by previous qualified persons as well as the current author. These have been subsequently reviewed by the author and determined to be valid in order to demonstrate the validity of the data.

 

In 2015, the author completed the survey validation steps described in Section 8.7 on the 2012 drilling data and assays and also analyzed the original data set supplied directly from Snowden. The author found no errors in the pre-2012 data and a few minor discrepancies which were corrected in the 2012 data.

 

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10Mineral Processing and Metallurgical Testing

 

Unless otherwise stated, the sub-sections in this section were previously provided in the report, “Summary Report on the CUMO Molybdenum Property, Boise County, Idaho” (Giroux, Dykes, Place, 2015). The primary QP for this section, John Starkey has reviewed the underlying data, analytical work, and technical reports and takes responsibility for this summary. Also, Mr. Starkey re-interpreted comminution test results in terms of kW/t to assess grinding requirements.

 

Mr. Starkey has added content and has rewritten those parts that require confirmation after the addition of ore sorting to the process.

 

10.1Metallurgical Testing (2009, 2015)

 

10.1.1Introduction

 

This sub-section includes some new content for this current PEA.

 

The test-work undertaken to date is limited, with three composite samples tested for comminution characteristics and preliminary flotation testing to produce bulk copper/molybdenum concentrates. Despite limitations, the existing test-work data are considered suitable for a conceptual study and the comminution data are considered adequate for a preliminary engineering assessment of the grinding circuit design. No copper/molybdenum separation or ferric chloride leaching of molybdenum concentrates has been undertaken to allow determination of final concentrate grades and recoveries achievable into saleable concentrates. Where no test-work data are available, reasonable assumptions, based on typical industry values or data from other similar projects (e.g. Sierrita, and Thompson Creek) have been used to develop the process design criteria used in plant design.

 

Thompson Creek is a primary molybdenum mine of similar mill feed grade to CuMo, and thus has similar recovery processes. Sierrita is a copper-molybdenum processing operation that produces separate copper and molybdenum concentrates from a bulk concentrate. Both are directly applicable to CuMo. As mentioned, these cover the basis for assumptions for copper/molybdenum separation by flotation, and production of saleable concentrates using more flotation cleaning stages beyond those tested here, that the other operations have in place, and ferric chloride leaching of molybdenite (MoS2) flotation concentrate, which follows flotation. This use of typical industry values for copper/molybdenum separation is recommended by John Starkey as a reasonable approach for this PEA.

 

The CuMo mineralized material is of moderate hardness and is amenable to grinding in a conventional SAG/ball milling circuit with or without pebble crushing. The mineralogy is fine grained and test-work done indicates the requirement for a fine target grind size to achieve adequate liberation for flotation.

 

Acid Based Accounting testing indicates that the tailings are potentially acid neutralizing (PAN) due to the presence of carbonate and low pyrite content. SGS concludes that “the tailings tested were not acid generating”. Further studies are required, but if confirmed, this will lead to significant cost savings in the tailings handling circuit and a major reduction in the environmental impact of the project.

 

The three composite samples which were tested are labelled for the mineralized zones: Cu-Ag, Cu-Mo and Mo. The Cu-Ag and Cu-Mo labelled composites comprise both the oxide and sulfide parts of the system; oxide is not separated. The Mo composite consists of both Mo and MSI Zones. To arrive at the recoveries for the oxide and MSI Zone from the mixed samples, polished sections were examined, and factors were calculated to reduce the recoveries obtained for the Cu-Ag sample. This is a conservative approach as the inclusion of the lower recovery oxide within the Cu-Ag and Cu-Mo Zones effectively reduces the overall recovery below what could otherwise be expected.

 

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10.1.2Sample Selection

 

CuMoCo began collecting metallurgical samples for grinding and flotation testing in December 2007. One fourth of the core (quarter core) was used from continuous samples of the mineralized zones (an upper copper-silver zone, underlain by a transitional copper-molybdenum zone, in turn underlain by a lower molybdenum-rich zone) from drill holes CO6-27, CO6-28 and CO6-29 and collected as individual 10 ft samples of quarter core selected as representative of the three mineralized zones. Technicians supervised by geological staff collected the samples and prepared them for shipment. A bonded carrier took the samples from Garden Valley, Idaho to Vancouver, British Columbia. The samples were taken to SGS Canada, Kent Corporate Center, Kent Avenue N., Vancouver, British Columbia, for the metallurgical study. The test-work results are detailed in an independent private report entitled “An Investigation into the recovery of molybdenum, copper and silver from CuMo samples prepared for Mosquito Consolidated Gold Mines Ltd. Project 50004-001”.

 

10.1.3Test-work Program

 

The flotation and grinding metallurgical test-work program used as the basis for this report consisted of comminution and flotation test-work on three separate metallurgical composites; copper/silver, copper/molybdenum and molybdenum, that were assembled to represent the three known mineralized types in the CuMo deposit at the time of testing. The test-work results are reported in “An Investigation into the recovery of molybdenum, copper and silver from CuMo samples prepared for Mosquito Consolidated Gold Mines Ltd Project 50004-001” (SGS, 2009).

 

Two main phases of flotation and grinding metallurgical testing were undertaken on the CuMo samples:

 

Bench scale comminution testing, consisting of SAG Performance Index (SPI®) and Bond ball mill work index testing

 

Bench scale flotation testing consisting of rougher kinetic flotation, cleaner flotation and locked-cycle tests, supplemented with mineralogical examination

 

Comminution Test-work Suite

 

The current comminution dataset consists of three SPI® and Bond ball mill work index tests, one on each of the composites. Table 13-1 summarizes the outcomes of the comminution laboratory test-work undertaken for this study, the table also shows the selected design case, which typically corresponds to copper/silver. To date, no samples have had SAGDesign Testing, Drop Weight Index Testing (either by the JK Drop Weight Test or SAG Media Competency Test), Bond Crushing Index, Bond Rod Mill Index or Abrasion Index testing. Values for these metrics have been estimated from the available data or from typical values for similar mineralization.

 

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Table 10-1: Summary of comminution test-work data

 

Comminution Characteristics

  Cu-Ag Cu-Mo Mo Design
Specific Gravity g/cmł 2.64 2.60 2.60 2.64
SPI® min 84.5 73.0 70.8 84.5
SMC DWI kW/mł n/a n/a n/a 7.4
Crushing work Index kWh/mt n/a n/a n/a 15.8
Bond rod mill work index kWh/mt n/a n/a n/a 15.8
Bond ball mill work index (closing screen 106 pm) kWh/mt 15.8 15.7 12.6 15.8
Bond Abrasion index   n/a n/a n/a 0.25

 

Due to the preliminary status of the test-work and the composite nature of the samples tested, the most competent sample results have been used as the basis for design. It has been assumed that this will provide a similar design point as the 80th percentile competency and ensure a robust design. This premise will need to be confirmed through additional testing using SPI tests on geometallurgical samples, and confirmed by SAG Design testing of composite samples, in the next phase of study as more detailed mine schedule information and material comminution characteristics become available.

 

Flotation Test-work Results

 

Flotation test-work was completed prior to the commencement of the present study, commencing with rougher kinetic flotation testing and culminating with locked cycle testing of the major material types. Only bulk sulfide flotation with multistage cleaning has been undertaken to produce a copper/molybdenum concentrate. No copper/molybdenum separation has been undertaken to date. Analysis of the test-work has been used to develop the plant process design criteria and estimates of concentrate grade, copper, molybdenum and silver recovery.

 

10.1.4Conceptual Study Flotation Test-work

 

The flotation test-work program was divided into three phases: rougher flotation; open circuit cleaner flotation; and locked cycle flotation.

 

Rougher Flotation

 

Initially, a series of rougher flotation tests were conducted to determine the sensitivity of the material types to grind size and reagent scheme. These tests were supplemented with mineralogical examination by QEM*SCAN (Quantitative Mineralogy by Scanning Electron Microscopy) to determine fundamental mineral liberation and mineral speciation. These tests indicated the following:

 

Copper mineralogy in the Cu-Ag Zone is fine grained and exhibited sensitivity to primary grind size, with highest recovery at a grind size of 80% passing 63 μm. Molybdenum and silver content exhibit little sensitivity to grind size.

 

Target elements showed little sensitivity to grind size for the Cu-Mo Zone, with only a slight change in recovery between a grind size of 80% passing 106 and 63 μm for copper, molybdenum and silver.

 

The copper and silver minerals in the Mo Zone exhibited significant sensitivity to grind size. Although the sensitivity of molybdenum was lower, the finer grind resulted in an increase in molybdenum recovery.

 

Sulfur assays on the concentrates from the Cu-Ag Zone and Cu-Mo Zone indicate the presence of a floatable sulfide gangue mineral; most likely pyrite (no sulfur assays were available for the Mo Zone).

 

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The results of these tests are summarized in Table 13-2.

 

Table 10-2: Baseline flotation results for CuMo composite samples

 

Mineral Zone

Test No. Feed Concentrate grade Concentrate Recovery
% Cu ppm Mo % Cu % Mo ppm Ag % Cu % Mo % Ag
Cu-Ag VF1-1 0.16 213 1.22 0.18 39 76.5 87.7 78
  VF1-2 0.16 179 1.71 0.27 53 58.7 81.6 70.3
Cu-Mo VF2-1 0.12 435 2.11 0.79 42 89.7 92.4 74
  VF2-2 0.11 398 1.54 0.61 36 89.3 92.9 74.5
Mo VF3-1 0.03 1135 0.47 1.99 13 77 94.4 64.4
  VF3-2 0.03 1135 0.44 1.75 12 83.1 96.9 71.8

 

Note: to be clear, the grades in this table referring to Mo are all elemental Mo (not MoS2).

 

The tests indicate that the mineralization is amenable to flotation, resulting in good recovery of target mineral species into a low mass concentrate stream. The sensitivity of the mineralization to primary grind size indicates that a fine grind for all the types will be required to ensure good recovery. Additional grind sensitivity test-work should be included in subsequent testing to optimize the mineral recovery with grind size.

 

Open Circuit Flotation

 

Cleaner flotation was conducted at the finer target primary grind size of 80% passing 63 μm and incorporated a rougher concentrate regrind stage to increase mineral liberation. Varying regrind times and reagent dosages were trialed to determine optimum flotation conditions.

 

The cleaner flotation reagent scheme was changed from that trialed in the rougher tests; a molybdenum specific activator (Moly Oil) and a copper molybdenum specific collector (Aero 3302). Despite the presence of pyrite, reporting to final concentrate, a non-specific sulfide collector (SIBX) was used for the cleaner flotation testing.

 

The fine grain structure of the mineralization identified by the QEM*SCAN testing and the increase in rougher grade and recovery indicated that regrinding of rougher concentrates would be required to achieve adequate concentrate grades. Concentrate regrinding was therefore incorporated in all subsequent cleaner and locked cycle testing. The target regrind size was arbitrarily selected at 90-95% passing 20 μm and achieved by grinding for a set time per test. Multiple stages of cleaning were incorporated to target high concentrate grades, typically with an elevated pH level in the final stage of cleaning. The results from selected optimization tests are summarized in Table 13-3.

 

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Table 10-3: Cleaner flotation results for CuMo composite samples

 

Mineral Zone

Test No. Feed Concentrate grade Concentrate Recovery
% Cu ppm Mo % Cu % Mo ppm Ag % Cu % Mo % Ag
Cu-Ag VF1-3 0.14 176 19.8 3.32 596 49.6 68.2 49
  VF1-4 0.16 185 15.3 2.3 462 64 81.3 64.9
  VF1-5 0.15 175 16.4 2.68 539 55.6 79 41.2
Cu-Mo VF2-3 0.12 392 18 6.31 344 85.5 93.7 76.8
  VF2-4 0.12 416 17.3 6.53 354 81.8 92.6 74.8
  VF2-5 0.11 315 16.6 4.88 365 85.4 90.4 70.3
Mo VF3-3 0.03 1048 5.9 24.4 151 79.6 95.9 52.2
  VF3-4 0.03 1025 6.1 24.8 150 79.8 95.8 50.7
  VF3-5 0.03 958 5.7 21.3 168 79.8 95.3 56.2

 

Note: to be clear, the grades in this table referring to Mo are all elemental Mo (not MoS2).

 

The concentrate grades achieved in the majority of these tests indicate the presence of significant levels of diluents in the final concentrate. The absence of mineralogy or sulfur assays on the final concentrates makes determination of the nature of these diluents difficult to determine. However, the most likely explanation for this is the presence of floatable pyrite in the mineralization that has not been depressed in the flotation circuit and is reporting to final concentrate. This issue will require further evaluation and testing during subsequent studies.

 

Following the completion of the open circuit cleaner flotation test-work phase, a locked cycle test was conducted on each of the major types. This phase was aimed at testing the best flow sheet conditions in a locked cycle test to determine the closed-circuit grade recovery performance of each of the types for project evaluation.

 

Locked Cycle Test-work at Design Conditions

 

Flotation results from the optimization test-work highlighted the benefit of fine regrinding and multiple stages of concentrate cleaning on improving concentrate grade. A flow sheet incorporating rougher concentrate regrinding and multiple stages of cleaning, similar to that from the open circuit cleaner testing was selected for the conceptual study. To test the flow sheet performance on all types, a series of locked cycle tests was conducted.

 

Locked cycle tests are used to determine the effects of recycling intermediate streams, like scavenger concentrates, on the overall grade recovery performance of the type. By retaining these streams and combining them with concentrates from a subsequent flotation test, an assessment can be made of the overall performance from a full-scale plant operation.

 

Locked cycle tests were undertaken for the main mineralized zones and the results are summarized in Table 13-4.

 

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Table 10-4: Locked cycle test results

 

Mineralized Zone

Test No. Feed Concentrate grade Concentrate Recovery
% Cu ppm Mo % Cu % Mo ppm Ag % Cu % Mo % Ag
Cu-Ag VF1-LCT1 0.16 190 13 2 357 62.5 82 71.7
Cu-Mo VF2-LCT1 0.12 401 16.4 5.66 324 90.7 93.8 80
Mo VF3-LCT1 0.04 1065 5.1 21.6 122 71.6 99.6 59.3

 

Note: to be clear, the grades in this table referring to Mo are all elemental Mo (not MoS2).

 

Analysis of these results indicate that recoveries of target minerals are acceptable and are generally in line with those achieved in the open circuit cleaner testing. However, the final concentrate grades are again lower than required to produce saleable concentrates after copper/molybdenum separation. Additional test-work will be required to determine the nature of the concentrate diluents and ways to maximize their rejection whilst maintaining target recoveries.

 

Tungsten Recovery

 

This sub-section was added for this current PEA.

 

SGS 2009 conducted a preliminary tungsten separation test on rougher tailing of the lock cycle test of Composite 3. The test consisted of feeding the rougher tailings to a Falcon Concentrator whose concentrate was upgraded on a Mozley table. The results of the test are as shown in Table 13-5.

 

Table 10-5: Tungsten recovery test results

 

Stream

Wt% WO3 - %
Assay Distribution
Mozley Concentrate 0.04 4.61 26.34
Falcon Concentrate 2.85 0.093 40.55
Calculated Feed 100 0.003 100.00

 

Source: SGS 2009

 

The sample used in the test, Composite 3, is from the Mo Zone which has the lowest grade of tungsten compared to the other zones. The average grade of tungsten for the Mo Zone is 21 ppm, while the Cu-Ag Zone has an average of 34 ppm, and the Cu-Mo Zone has an average of 41 ppm.

 

However, the SGS report states that as before (for the other two composites), the tungsten grades were too low for reliable assaying (of the tungsten values).

 

Based on the SGS report, the possibility to recover tungsten in an economic process has not yet been established.

 

10.1.5Grade and Recovery Predictions

 

This sub-section includes some new content for this current PEA.

 

Analysis of the locked cycle tests has been undertaken to determine flotation performance predictions. The design recoveries of the target metals are generally in line with or slightly lower than those achieved in the locked cycle tests suggesting a degree of conservatism in the selected recoveries. The numbers were selected as generally being lower than the actual test-work values with the exception of the Cu-Ag Zone, as this sample consisted of both oxidized and non-oxidized material.

 

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Analysis of the locked cycle tests has been undertaken to determine flotation performance predictions. The design recoveries of the target metals are generally in line with or slightly lower than those achieved in the locked cycle tests suggesting a degree of conservatism in the selected recoveries. The numbers were selected as generally being lower than the actual test-work values with the exception of the Cu-Ag Zone, as this sample consisted of both oxidized and non-oxidized material.

 

A review of the specified recoveries indicates that they are reasonable for a bulk concentrate from the CuMo mineralized zones. However, the concentrate grades achieved directly from the current tests do not reflect those required to achieve saleable concentrates and have been adjusted for the plant design and preliminary economic evaluation on the assumption that additional test-work will confirm and further optimize flotation metallurgy, allowing higher concentrate grades to be achieved with minimal impact on recovery.

 

It should be noted that the SGS (2009) report concludes the following in regard to saleable concentrates from the tests:

 

In the case of the Cu-Ag Zone sample: However, the upgrading ratios indicate that a saleable grade of Cu concentrate can be made from this composite.” (page 6)

 

In the case of the Cu-Mo Zone sample: The upgrading ratios assured that saleable Cu and Mo concentrates can be made by added cleaning stages.” (page 7)

 

And finally in the case of the Mo Zone sample: “The upgrading ratios indicate that Cu and Mo concentrates of saleable grades can be made by added cleaning stages.” (page 8)

 

These assertions support the general assumptions with respect to concentrate grades and process design details and will be required when advanced level studies are done on the project in the future.

 

In order to derive a process design and capital and operating cost estimate, it has been assumed that a selective molybdenum flotation phase with copper depression, followed by a ferric chloride leach on the molybdenum concentrate to remove residual copper, is required. The design and grade recovery performance of these process units have been estimated from operating and test-work data from other similar studies and operating plants. These include Las Pelambres, Andina, Collahuasi, Gibraltar and Sierrita to developing projects (2009) such as Pebble, Prosperity and Mirador. All these have or have examined copper-molybdenum separation circuits.

 

The recoveries of target metals into their respective concentrates have been reduced to reflect metal misreporting during the separation stages. The final concentrator recoveries that have been assumed for the PEA of CuMo are shown in Table 13-5. These figures include bulk concentrate recovery, copper/molybdenum flotation separation and ferric chloride leach recovery.

 

Table 10-6: Grade/recovery predictions for CuMo

 

Material Type

Concentrate Concentrate Grade Concentrate Recovery
% Cu % Mo % Cu % Mo % Ag
Cu-Ag Molybdenum 0.1 52 0.02 83  
  Copper 19 0.1 64 2.4 70
Cu-Mo Molybdenum 0.1 51 0.04 92  
  Copper 22 0.1 85 0.7 78
Mo Molybdenum 0.02 49 0.1 95  
  Copper 20 0.8 72 1 55

 

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Note that the recovery predictions shown in Table 13-6 for Cu-Ag Zone material were based on samples that also contained oxide material. Segregation of this oxide material results in the adjusted and slightly higher recovery predictions for non-oxide material referenced elsewhere in this report (Table 14-13).

 

In addition to the primary elements listed, the study also analyzed the final concentrate from the lock cycle tests for gallium, osmium and rhenium, while the rougher tails were analyzed for Gallium. Rhenium was the only metal present in quantities above detection limit returning values of 0.9 ppm, 2.9 ppm and 15 ppm respectively in the molybdenum concentrates from the three material types.

 

No test work was completed to determine the actual recovery of rhenium and Sulphuric acid during the roasting process, though there are no indications that it cannot be achieved based on current technology and existing roasters. This test work is recommended for the next stage of development for this project.

 

10.2Mineral Sorting

 

The following sections provide original text for the current PEA

 

13.2.1Particle Sorting

 

The opportunity for preconcentration using sensor-based sorting was evaluated in 2015 where Sacré-Davey conducted a preliminary investigation with 100 rock samples from the deposit. The purpose of this test was to get an indication of the sample response to various sensors. Since this test showed a potential for preconcentration, a second set of testing was done with an XRF device using 400 samples. The initial study was completed in November 2016.

 

Samples from quarter core were used from continuous samples of the four mineralized zones; The samples assembled were selected to represent the four known non oxide mineralized zones in the CuMo deposit, namely: Cu-Ag, Cu-Mo, Mo and MSI. A total of 400 random samples of 1-5” size were sent and tested at the Coal and Mineral Processing Laboratory at the University of British Columbia. The samples were cleaned with high-pressure air and then scanned on the XRF device, followed by the EM device. Testing was initially conducted under the supervision of Brent Hilscher from Sacré-Davey. Following that, the samples were sent to MetSolve Laboratories Inc. for Cu and Mo assays.

 

Heterogeneity assessments of the Cu and Mo grade analysis were conducted based on the assay results to confirm initial confidence in the potential application of mineral sorting. Next, correlation studies between the assay result and sensor-based result were carried out upon observation of the provided rock samples. The outcome of the studies was then used in building several economic models to demonstrate the benefit for mineral sorting. Finally, John Starkey examined the assays, scanning records and previous reports to confirm that there was a basis for what is stated herein.

 

The purpose of the particle sorting study was to understand the deposit’s amenability to mineral sorting. The study conducted was a scoping level preliminary evaluation to understand the possible opportunity. Detailed bulk sample test-work would be necessary to accurately measure the impact on the potential project economics.

 

The study demonstrated that there is significant variability in the deposit providing an opportunity to reject the low-grade rocks and upgrade the accepted mass. The sensors also showed positive response for upgrading the mill feed; however, due to the low concentration of Cu and Mo, further testing and validation is necessary.

 

The interpreted results are presented in Figure 13-1. This shows the recovery of Mo and Cu as a function of sorting mass pull. The sorting mass pull is the cumulative RCV percent of test samples from highest RCV to lowest, based on the XRF measurements of Cu and Mo.

 

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Source: SRK, 2019

 

Figure 10-1: Particle sort XRF test results

 

Further testing and studies will be required at the pre-feasibility and feasibility stages to capture representative samples and the impact of the sorter on individual mineralized zones. The particle sort study was conducted to understand the deposit’s heterogeneity on a rock-by-rock basis. Due to the large production rates of the project, a combination of bulk and particle sorting may be more suitable.

 

Mineral sorting products have not yet been tested for changes in the work index or flotation recovery. After sorting, most base metals operations experience an improvement in both the grinding specific energy and flotation recovery. These changes will be quantified as part of future studies.

 

13.2.2Bulk Sorting

 

The success of the particle sorting test program, combined with recognition that currently available particle sorting technology on its own would not be able to handle the processing rates envisioned for CuMo, prompted further investigation into the viability of bulk sorting.

 

SRK undertook a heterogeneity study of the CuMo deposit by analyzing exploration drill hole data. Two approaches were undertaken:

 

Observing the effect of measurement scale on different heterogeneity parameters

 

Assessing the relationship between bench composite grades and sample grades that make up those composites

 

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The following sections discuss the results of these assessments.

 

Heterogeneity and Scale

 

SRK developed an approach to assess how mineral deposit heterogeneity is influenced by observation or sampling scale. It involves the analysis of exploration drill core data, to see the impact of varying aggregation lengths on key parameters, including most notably assay grades. In polymetallic deposits, NSR or equivalent is used (RCV in the case of CuMo).

 

For CuMo, SRK assessed the main mineralized zones – oxide, Cu-Ag, Cu-Mo, and Mo. The drill holes were de-surveyed and sample intervals were assessed in the vertical direction – a proxy for mining bench height. Intervals were combined over increasing aggregation lengths, up to a maximum of 100 ft. Statistics and comparative analyses were run on the resulting aggregations. Select results are presented in Figure 13-2 and Figure 13-3.

 

One way to look at the impact of scale on heterogeneity is to calculate the distribution heterogeneity for different aggregation lengths. Distribution heterogeneity for a dimensionless lot (Pitard, 1993) was used here. It is a unitless parameter relating mass and grade (or NSR) of a group (aggregation) to the overall population or lot. It is apparent in Figure 13-2 that for all mineralized zones at CuMo, there is a decrease in heterogeneity with increasing scale. The OX zone was the most affected, and the Mo Zone was the least impacted by increases in scale.

 

 

Source: SRK, 2019

 

Figure 10-2: Impact of scale on distribution heterogeneity

 

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Source: SRK, 2019

 

Figure 10-3: Impact of scale on “Waste in Ore” ratio

 

Figure 13-3 provides another measure of heterogeneity that the author finds very informative. It is “Waste in Ore2F[4]”, which compares sample intervals that are below a cut-off but are still within aggregations whose average grades are above the cut-off. Figure 13-3 shows that increasing aggregation length results in increasing % waste in above cut-off material and that such increases happen quickly. They happen within the mining scale (e.g. 50 ft benches), but then largely flatten off for longer aggregation lengths. This suggests there may be benefits to selectively mining or processing material at smaller scales in order to reject waste that is inherent in a mineral deposit.

 

The main findings of this analysis for CuMo are that heterogeneity diminishes with increasing scale (or conversely, it increases with decreasing scale) and that the different mineralized zones at CuMo exhibit differing heterogeneity characteristics. Whilst this is generally accepted for all such analysis, notably in this case, significant change in heterogeneity for several zones occurred at around the scale of the mining bench dimensions and potentially smaller selective mining unit dimensions, raising the possibility of benefits from more selective in-pit pre-selection or bulk mineral sorting.

 

Composite-Sample Relationship

 

The other technique for assessing heterogeneity from drill holes interrogates the composite-sample relationship inherent in drill hole data. For this, the author developed bench composites of all the drill holes, based on an expected 50 ft bench height. Then, the RCV of the composites were calculated from the samples falling within the composites. For CuMo, RCV is determined as the product of the price and the mill recovery for the metal of interest. It is calculated for each of the mineralized zones in the deposit (see Section 11.9).

 

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The resulting relationship can be plotted as the number of samples versus the sample interval grade (RCV) for each of multiple bench composite RCV ranges. This relationship is referred to as the “composite-sample relationship”.

 

 

Source: SRK, 2019

 

Figure 10-4: CuMo composite-sample relationship

 

Figure 13-4 shows the composite-sample relationship for select composite RCV ranges. These ranges are set with $2.50/t increments and within each range the sample interval RCVs are counted in $1.00/t bins.

 

A red vertical line has been drawn at the $10/t RCV point, approximating the cut-off NSR for CuMo. Only six of the composite RCV ranges are shown – three on either side of $10/t RCV.

 

There are two important observations of the composite-sample relationship for CuMo:

 

Composite RCV ranges below the $10 cut-off ($2.50-5.00; $5.00-7.00; $7.50-10.00), which should all be waste, have sample intervals within them that are above the $10 cut-off. This is more pronounced for composite ranges nearer the cut-off.

 

Composite RCV ranges above the $10 cut-off ($10.00-12.50; $12.50-$15.00; $15.00-17.50), which should all be selected as above cut-off mill feed, have sample intervals within them that are below the $10 cut-off. Again, this is more pronounced for composite ranges nearer the cut-off. There tends to be more “waste in above-cut-off material” than “above cut-off material in waste” in general and as one moves away from the cut-off.

 

These observations effectively point to the opportunity for mineral sorting, if one can segregate material at the sample interval scale (or smaller, per the conclusion of the heterogeneity and scale analysis), one can remove waste from the mill feed and recover valued mineralized material from what would be otherwise waste.

 

SRK used these composite-sample relationships to test the impact of using different cut-offs to segregate different fractions of potential mill feed in a bulk sorting context. This is discussed further in Section 16.2.2.

 

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11Mineral Resource Estimates

 

11.1Introduction

 

In 2015 at the request of CuMoCo, Giroux Consultants Ltd. was retained to produce a resource estimate on the CuMo project in Southern Idaho. A total of 68 drill holes covering the various mineralized zones were provided. While the Cu-Mo-Ag-W resource was estimated in April 2015, the effective date for this estimate is August 30, 2018, when estimates for Re and S were completed.

 

G.H. Giroux was the qualified person responsible for the resource estimate. Mr. Giroux is a qualified person by virtue of education, experience and membership in a professional association. He is independent of CuMoCo applying all of the tests in section 1.5 of National Instrument 43-101. Mr. Giroux visited the property, reviewing drill core and drill sites, on June 2, 2015.

 

This 2015 CuMo resource estimate represents an update of the 2012 estimate by Snowden Mining Industry Consultants (Jones, et al) and the 2009 resource estimate (Holmgren and Giroux), based on an additional 11 new diamond drill holes completed in 2011-2012.

 

The mineral resources estimated may ultimately be affected by a broad range of environmental, permitting, socio-economic (as discussed in Section 17), legal, title (as discussed in Section 3), marketing and political factors (as discussed in Section 22). At this time the authors are unaware of any of these factors that could materially affect the mineral resource estimate. Of course, going forward, relevant factors that could influence the resource estimate include changes to the geological, geotechnical or geometallurgical models, infill drilling to convert mineral resources to a higher classification, drilling to test for extensions to known resources, collection of additional bulk density data and significant changes to commodity prices. It should be noted that all these factors pose potential risk and opportunities to the current mineral resource.

 

11.2Data Analysis

 

A total of 65 DDHs and three RC drill holes, over a combined total of 121,280 ft, were provided with 1,001 downhole surveys and 10,456 assays for Mo and Cu. For this resource estimation, the three RC holes were not used (see Appendix 3 for a list of drill holes used in the estimate), leaving only the 65 diamond drill holes as being used. For the 65 diamond drill holes used, the total length was 36,165.7 m (118,654 ft)

 

The provided data was checked for sample overlaps, gaps in sample intervals and assays within allowable intervals. No errors were found.

 

The basic assay statistics for DDHs are presented below in Table 14-1

 

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Table 11-1: Summary of MoS2 and Cu contents

 

  MoS2 (%) Cu (%)
Number 10,456 10,456
Mean 0.053 0.077
Standard Deviation 0.058 0.069
Minimum 0.0005 0.001
Maximum 1.09 0.920
Coefficient of Variation 1.09 0.89

 

Note: MoS2 here is calculated from the assays for Mo by multiplying by 1.6681.

 

The molybdenum and copper mineralization at CuMo lies in four distinct mineral zones with an oxidized layer on top. More or less from top to bottom there occurs in most drill holes an oxide zone, a Cu-Ag Zone, a Cu-Mo Zone and a Mo Zone. Within one fault block, the Cu-Ag Zone is missing, and the oxide sits on top of the Cu-Mo Zone. These zones are underlain by a potassic-silica zone with lower grade copper and molybdenum material called the MSI Zone. While the oxide zone has been modeled for metallurgical reasons, it has been combined with the Cu-Ag Zone or in a few cases the Cu-Mo Zone for estimation purposes. While no test-work has been completed on the oxide zone at this time, experience with other such deposits indicates that metal recoveries tend to be lower in oxidized zones as compared to primary zones and as a result it was modelled separately, and a lower recovery was applied. This is a conservative approach and will be useful for future work.

 

Contact plots for each variable in Figure 14-1 show there is no difference in average grade across the oxide – Cu-Ag Zone contact. There are also several post mineral dykes that are large enough and continuous enough to be modeled. The Cu and MoS2 grade statistics are shown in Table 14-2, sorted by zone. Silver and tungsten assays are shown in Table 14-3 for the same mineral zones. Values for MoS2 and Cu reported as 0.000 were assigned values of 0.0005% and 0.001%, respectively. Silver values reported as 0.000 were set to 0.01 ppm while tungsten values reported as 0.000 were set to 0.1 ppm.

 

Table 11-2: Summary of assay statistics for Cu and MoS2 sorted by zone

 

Item Cu–Ag Zone Cu-Mo Zone Mo Zone MSI Zone Dykes

MoS2

(%)

Cu

(%)

MoS2

(%)

Cu

(%)

MoS2

(%)

Cu

(%)

MoS2

(%)

Cu

(%)

MoS2

(%)

Cu

(%)

Number 3,813 3,813 3,509 3,509 2,677 2,677 330 330 128 128
Mean 0.017 0.076 0.049 0.103 0.113 0.053 0.057 0.028 0.005 0.016
Standard Deviation 0.019 0.074 0.045 0.072 0.066 0.042 0.029 0.038 0.014 0.038
Minimum 0.0005 0.001 0.0005 0.001 0.0005 0.001 0.0010 0.001 0.0005 0.001
Maximum 0.315 0.77 1.09 0.92 0.99 0.59 0.17 0.20 0.13 0.18
Coefficient of Variation 1.15 0.97 0.92 0.70 0.58 0.80 0.51 1.34 2.62 2.36

 

Note: MoS2 here is calculated from the assays for Mo by multiplying by 1.6681.

 

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Source: CuMoCo 2015

 

Figure 11-1: Contact plots for oxide-Cu-Ag Zone contact

 

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Table 11-3: Summary of assay statistics for Ag and W sorted by zone

 

Item Cu–Ag Zone Cu-Mo Zone Mo Zone MSI Zone Dykes

Ag

(ppm)

W

(ppm)

Ag

(ppm)

W

(ppm)

Ag

(ppm)

W

(ppm)

Ag

(ppm)

W

(ppm)

Ag

(ppm)

W

(ppm)

Number 3,806 3,791 3,492 3,497 2,653 2,654 327 330 128 121
Mean 2.88 32.3 3.07 46.7 1.78 45.9 1.65 37.1 0.62 9.8
Standard Deviation 16.28 108.9 13.35 33.8 9.81 38.3 10.39 109.3 1.23 11.9
Minimum 0.01 0.1 0.01 0.1 0.01 0.1 0.01 3.3 0.01 0.1
Maximum 838.0 5400 744.0 470.0 494.0 890.0 182.0 1980 8.6 65.0
Coefficient of Variation 5.65 3.37 4.35 0.72 5.51 0.83 6.28 2.95 1.99 1.21

 

To determine if capping was required and if so, at what level, the distribution of grades for each variable within each mineralized zone was examined using lognormal cumulative frequency plots. In all cases, multiple overlapping lognormal populations were present. Cap levels were set to minimize the effects of a small number of erratic outliers.

 

A similar strategy was applied to Cu, Ag and W. The capping levels for each variable are shown in Table 11-4, Table 11-5, and Table 11-6.

 

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Table 11-4: Summary of capping levels by mineralized zone

 

Domain Variable Cap Level Number Capped
Cu-Ag Zone MoS2 0.16 % 4
Cu-Mo Zone MoS2 0.40 % 2
Mo Zone MoS2 0.48 % 7
MSI Zone MoS2   0
Dykes MoS2 0.05 % 1
Cu-Ag Zone Cu 0.83 % 0
Cu-Mo Zone Cu 0.62 % 4
Mo Zones Cu 0.27 % 6
MSI Zones Cu   0
Dykes Cu 0.15 % 3
Cu-Ag Zone Ag 115 ppm 6
Cu-Mo Zone Ag 102 ppm 4
Mo Zone Ag 24 ppm 4
MSI Zone Ag 8 ppm 3
Dykes Ag 4.0 ppm 3
Cu-Ag Zone W 452 ppm 5
Cu-Mo Zone W 277 ppm 6
Mo Zone W 275 ppm 6
MSI Zone W 118 ppm 3
Dykes W   0

 

The results from capping are tabulated below with some significant reductions in the coefficient of variation for some variables.

 

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Table 11-5: Summary of capped assay statistics for Cu and MoS2 sorted by zone

 

Item Cu–Ag Zone Cu-Mo Zone Mo Zone MSI Zone Dykes

MoS2

(%)

Cu

(%)

MoS2

(%)

Cu

(%)

MoS2

(%)

Cu

(%)

MoS2

(%)

Cu

(%)

MoS2

(%)

Cu

(%)

Number 3,813 3,813 3,509 3,509 2,677 2,677 330 330 128 128
Mean 0.017 0.076 0.049 0.103 0.112 0.053 0.057 0.028 0.005 0.016
Standard Deviation 0.018 0.074 0.040 0.070 0.063 0.041 0.029 0.038 0.009 0.036
Minimum 0.0005 0.001 0.0005 0.001 0.0005 0.001 0.0010 0.001 0.0005 0.001
Maximum 0.16 0.77 0.40 0.62 0.48 0.27 0.17 0.20 0.05 0.15
Coefficient of Variation 1.10 0.97 0.83 0.68 0.56 0.78 0.51 1.34 2.04 2.31

 

Note: MoS2 here is calculated from the assays for Mo by multiplying by 1.6681.

 

Table 11-6: Summary of capped assay statistics for Ag and W sorted by zone

 

Item Cu–Ag Zone Cu-Mo Zone Mo Zone MSI Zone Dykes

Ag

(ppm)

W

(ppm)

Ag

(ppm)

W

(ppm)

Ag

(ppm)

W

(ppm)

Ag

(ppm)

W

(ppm)

Ag

(ppm)

W

(ppm)

Number 3,806 3,791 3,492 3,497 2,653 2,654 327 330 128 121
Mean 2.56 29.8 2.88 46.4 1.58 45.5 0.99 31.3 0.57 9.8
Standard Deviation 5.82 32.4 4.63 31.7 1.78 32.8 1.28 20.7 1.00 11.9
Minimum 0.01 0.1 0.01 0.1 0.01 0.1 0.01 3.3 0.01 0.1
Maximum 115.0 452.0 102.0 277.0 24.0 275.0 8.0 118.0 4.00 65.0
Coefficient of Variation 2.27 1.09 1.61 0.68 1.13 0.72 1.29 0.66 1.75 1.21

 

11.350-Foot Composites

 

The bulk of the historic drill holes (1969 to 1982) were assayed on 10 or 20 ft intervals while those assayed by CuMoCo (2006-2012) were assayed on 10 ft intervals. A 50 ft composite length was chosen to match a reasonable mining bench for this scale of deposit. This differs from the 2012 resource estimate where a 20 ft composite was used. The statistics for 50 ft composites are shown in Table 14-7 Samples coded as oxide were combined with Cu-Ag composites for estimation purposes.

 

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Table 11-7: Summary of 50 ft composite statistics

 

  MoS2 (%) Cu (%) Ag (ppm) W (ppm)
Cu-Ag Zone
Number 810 810 810 807
Mean 0.016 0.076 2.68 29.8
Standard Deviation 0.013 0.062 4.77 28.1
Minimum 0.001 0.001 0.01 0.1
Maximum 0.101 0.432 92.39 365.1
Coefficient of Variation 0.80 0.82 1.78 0.94
Cu-Mo Zone
Number 813 813 808 810
Mean 0.048 0.103 2.88 45.8
Standard Deviation 0.027 0.057 2.81 23.4
Minimum 0.003 0.003 0.22 5.4
Maximum 0.226 0.366 42.50 190.6
Coefficient of Variation 0.56 0.55 0.98 0.51
Mo Zone
Number 639 639 631 631
Mean 0.112 0.053 1.64 46.7
Standard Deviation 0.046 0.037 1.27 24.1
Minimum 0.016 0.003 0.09 10.0
Maximum 0.302 0.218 10.68 160.0
Coefficient of Variation 0.41 0.69 0.77 0.52
MSI Zone
Number 81 81 80 81
Mean 0.056 0.027 1.04 31.8
Standard Deviation 0.023 0.037 1.08 16.7
Minimum 0.003 0.002 0.05 6.4
Maximum 0.104 0.150 5.00 101.7
Coefficient of Variation 0.42 1.35 1.04 0.53
Dykes
Number 37 37 37 35
Mean 0.004 0.014 0.55 10.5
Standard Deviation 0.005 0.026 0.80 12.1
Minimum 0.001 0.001 0.01 1.5
Maximum 0.019 0.082 3.00 60.0
Coefficient of Variation 1.40 1.90 1.46 1.16

 

Note: %MoS2 statistics here are derived from assay grades calculated by multiplying %Mo by 1.6681.

 

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11.4Variography

 

For variogram analysis, the composite data was adjusted to accommodate post mineral faulting. Fault blocks were moved back to pre-fault locations based on marker beds displaced across fault boundaries. Semi-variograms were produced using these pre-fault locations. For estimation, the original locations of composites were used.

 

Pairwise, relative semi-variograms were used to determine grade continuity for MoS2, Cu, Ag and W in 50 ft composites. Nested spherical models were fit to all directions with the model parameters tabulated below and the models shown in Appendix 4.

 

Table 11-8: Parameters for semi-variogram models at CuMo

 

Variable Domains Direction C0 C1 C2

Short Range

(ft)

Long Range

(ft)

MoS2 Cu-Mo and Mo Zone Az 60 Dip 0 0.06 0.12 0.12 200 1800
Az 330 Dip -35 400 500
Az 150 Dip -55 300 1300
Cu-Ag Zone Az 0 Dip 0 0.16 0.16 0.20 200 1200
Az 270 Dip 0 200 400
Az 0 Dip -90 400 800
Cu

Cu-Ag and

Cu-Mo Zone

Az 60 Dip 0 0.08 0.08 0.10 250 1600
Az 330 Dip -35 500 700
Az 150 Dip -55 300 1600
Mo Zone Az 60 Dip 0 0.05 0.15 0.15 400 1200
Az 330 Dip 0 300 400
Az 0 Dip -90 300 500
Ag Cu-Ag and Cu-Mo Zone Az 70 Dip 0 0.12 0.05 0.09 200 1000
Az 340 Dip 0 50 200
Az 0 Dip -90 120 500
Mo Zone Az 60 Dip 0 0.06 0.15 0.14 300 1200
Az 330 Dip 0 300 500
Az 0 Dip -90 450 700
W Cu-Mo and Mo Zone Az 0 Dip 0 .06 .02 0.15 150 1000
Az 270 Dip 0 50 500
Az 0 Dip -90 100 800
Cu-Ag Zone Az 30 Dip 0 0.08 0.11 0.17 160 1100
Az 300 Dip 0 200 1200
Az 0 Dip -90 300 400

 

There were insufficient composites within the MSI Zone to model so the models for the Mo Zone were applied to estimate this zone.

 

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11.5Block Model and Grade Estimation

 

A block model with blocks 50 x 50 x 50 ft in dimension was superimposed over the mineralized zones with the proportion of each block below surface topography and within the various mineralized solids recorded. The block model origin was as follows:

 

Lower Left Corner

 

214,600 E Column Size – 50 ft 207 Columns

 

114,250 N Row Size – 50 ft 179 Rows

 

Top of Model

 

7075 Elevation Level Size – 50 ft 76 Levels

 

The grades for the four variables namely: MoS2, Cu, Ag and W were interpolated into each block containing some proportion of mineralized solid by ordinary kriging. Kriging was completed for each variable separately within two mineralized zones. A combination of soft and hard boundaries was used to estimate MoS2, Cu, Ag and W to reflect the metal zonation present at the CuMo deposit.

 

Table 11-9: Estimation boundary summary

 

Mineral/Metal Estimation Boundary Information
MoS2 Estimated for Cu-Ag Zone using only composites from Cu-Ag and oxide zones
Estimated for Cu-Mo and Mo Zones using only composites from Cu-Mo and Mo Zones
Cu Estimated for Mo Zone using only composites from Mo Zone
Estimated for Cu-Ag and Cu-Mo Zones using only composites from Cu-Ag, Cu-Mo and oxide Zones
Ag Estimated for Mo Zone using only composites from Mo Zone
Estimated for Cu-Ag and Cu-Mo Zone using only composites from Cu-Ag, Cu-Mo and Oxide Zone
W Estimated for Cu-Ag Zone using only composites from Cu-Ag and Oxide Zones
Estimated for Cu-Mo and Mo Zones using only composites from Cu-Mo and Mo Zones

 

Each kriging run was composed of four passes. The dimensions for the search ellipse, within each pass, were a function of the semi-variogram ranges. Pass 1 required a minimum of four composites within a search ellipsoid with dimensions equal to one quarter of the semi-variogram range for each direction. For blocks not estimated, the search ellipse was expanded to half the semi-variogram range in Pass 2 and again a minimum of four composites were required to estimate the block. Pass 3 expanded the search ellipse to the entire range, and a final fourth pass used double the range. In all cases, the maximum number of composites from a single hole was set to three to ensure that a minimum of two drill holes were used in each estimate. The maximum number of composites used was set to 16, and if more than 16 composites were found, the closest 16 were used. The search parameters for each run are listed below in Table 14-10. Pass 4 for Ag and W used larger search ellipses to produce a value for all blocks estimated for MoS2 and Cu. This was due to the under-sampling of Ag and W relative to Mo and Cu.

 

A grade for each of the four variables was estimated in a total of 734,490 blocks.

 

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Table 11-10: Summary of kriging search parameters for each mineralized zone

 

Domain Variable Pass

Number

Of Blocks

Estimated

Az/Dip

Dist. (ft)

 

Az/Dip

Dist. (ft)

 

Az/Dip Dist. (ft)
Cu-Ag MoS2 1 4,614 0 /0 300 270 / 0 100 0 / -90 200
2 26,207 600 200 400
3 83,342 1,200 400 800
4 252,646 2,400 800 1,600
Cu-Mo & Mo MoS2 1 35,447 60 / 0 450 150 / -55 325 330 / -35 125
2 110,887 900 650 250
3 121,147 1,800 1,300 500
4 59,784 3,600 2,600 1,000
Cu-Ag & Cu-Mo Cu 1 50,852 60 / 0 400 150 / -55 175 330 / -35 400
2 128,958 800 350 800
3 235,739 1,600 700 1,600
4 139,891 3,200 1,400 3,200
Mo Cu 1 1,789    300   100   125
2 22,307 60 / 0 600 330 / 0 200 0 / -90 250
3 58,857   1,200   400   500
4 80,068   2,400   800   1,000
Cu-Ag & Cu-Mo Ag 1 1,859   250   50   125
2 18,305 70 / 0 500 340 / 0 100 0 / -90 250
3 94,108   1,000   200   500
4 441,174   2000   400   1,000
Mo Ag 1 3,067   300   125   175
2 31,146   600   250   350
3 63,317 60 / 0 1,200 330 / 0 500 0 / -90 700
4 65,491   2,400   1,000   1,400
Cu-Ag W 1 14,288   275   300   100
2 51,953 30 / 0 550 300 / 0 600 0 / -90 200
3 122,565   1,100   1,200   400
4 179,224   2,200   2,400   800
Cu-Mo & Mo W 1 4,799   250   125   200
2 59,057 0 / 0 500 270 / 0 250 0 / -90 400
3 130,570   1,000   500   800
4 144,312   2000   1,000   1,600

 

Note: Distances shown in the table represent one quarter (Pass 1), one half (Pass 2), full (Pass 3) and twice (Pass 4) the semi-variogram range in the three principal directions.

 

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Rhenium and sulfuric acid are credits received by the project during the roasting process at a roaster controlled by the project. A roaster and sulfur recovery plant have been built into the capital cost section of this report. Rhenium and sulfuric acid are contained solely within the molybdenite (MoS2) – rhenium as an impurity within the molybdenite (MoS2) structure, and sulfuric acid is produced from sulfur when the MoS2 is converted to MoO3. Due to the irregular nature of impurities and the sulfur content within the molybdenum, these cannot be estimated in blocks by kriging. Instead statistical linear regressions were applied to 7,485 analyses related to rhenium content in the molybdenite (MoS2) within the various geological domains (mineralized zones) to determine the actual amount of these products produced. The results of the statistical linear regression are lower and more conservative than the rhenium recovery reported by SGS (2009).

 

Scatter plots were produced for each mineralized zone, plotting Re and S against MoS2, and from these, a linear regression equation was used to estimate the amount of Re (ppm) and S (%) present on a block by block basis (see Figure 14-2 for an example plot showing Re vs MoS2 in Cu-Mo Zone).

 

 

Source: Giroux et al , 2015

 

Figure 11-2: Scatter plot showing Re vs MoS2 in the Cu-Mo Zone

 

For blocks containing more than one mineralized zone, a weighted average was produced. The two commodities are considered not as by-products of a producing mine but as smelter/processing credits from the concentrates. Smelter credits and penalties are common within the mining industry and in many cases, the credit or penalty element is not contained in the current resources or reserves of a project. The author has included the commodities to provide full disclosure as circuits to recover and produce these products are built into capital and operating costs. Re and S values have not been used to determine the RCV of blocks. The contribution of these commodities to the overall economic analyses is small and well within the accuracy of the PEA level of study, with rhenium contributing 0.37% of the overall revenue and sulfuric acid 0.49%. Rhenium is of special interest to the development of the property as it is now on a list of minerals that are critical to the USA.

 

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Note: Regression analysis is not industry standard practice in calculating overall resources. However, the fact that rhenium and sulfur are contained almost entirely within the material containing MoS2, which has been estimated by kriging, means that regression is a valid method of obtaining a reasonable estimate of the rhenium and sulfur contents at the level of precision of this study. Due to the large number of samples involved in the regression analysis, the confidence of this particular regression estimate is comparable to that obtained by the method of ordinary kriging.

 

11.6Bulk Density

 

A total of 4,539 specific gravity determinations were made for CuMo in all mineralized zones. This total includes 4,339 determinations made during the 2011 drill program. The measurements were made using the weight in air/weight in water procedure. The results are summarized in Table 14-11.

 

Table 11-11: Summary of density parameters for each mineralized zone

 

Zone

Number of

SG Determinations

SG

Minimum

SG

Maximum

Average

SG (gm/cc)

Average

TF (cu.ft/ton)

Ox 578 2.08 2.74 2.50 12.80
Cu-Ag 1,505 2.28 3.70 2.58 12.42
Cu-Mo 1,524 2.25 2.85 2.58 12.40
Mo 763 2.30 2.75 2.57 12.45
Msi 91 2.40 2.73 2.57 12.48
Dyke 78 2.19 2.75 2.52 12.71
Total 4,539 2.08 3.70 2.57  

 

The tonnage factor for each block was a weighted average based on the mineralized zone’s tonnage factor and the amount of that zone within the block.

 

11.7Reasonable Prospects of Eventual Economic Extraction

 

Reasonable prospects of eventual economic extraction have been established by constraining the resource estimate to within a conceptual open pit design using reasonable parameters from an analogous nearby molybdenum deposit. An RCV in non-oxide material of $5.00/t has been highlighted as a possible open pit cut-off based on similar size mines at a feasibility or production stage. In the mineral resource tables at the end of this section, the $5.00 cut-off for the assumed price is highlighted and is selected based on operating costs. The $5.00 cut-off is suggested to separate waste from material that is fed to the sorters. From the sorters, only mill feed above an economic cut-off would be sent for immediate processing.

 

In 2012, Snowden used Geovia’s WhittleTM pit optimizer to determine a constraining open pit for the CuMo deposit. Optimization parameters were from the Thompson Creek mine (a comparable open pit molybdenum project located in Idaho). The optimization parameters included mill feed mining and processing costs of $7.52 per processed ton, overall pit slope angles of 45°, metallurgical recoveries as shown in Table 14-12 and appropriate dilution and offsite costs and royalties. The metal prices used in 2012 by Snowden for pit optimization were Mo at $25/lb, Cu at $3/lb, Ag at $20/oz and W at $10/lb.

 

Since the infill drill holes completed in 2011-12 were all within this conceptual pit this resource update uses the Snowden 2012 optimum pit shell to both constrain the estimate and demonstrate reasonable prospects of eventual economic extraction.

 

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11.8Resource Classification

 

At CuMo, geological continuity has been established through diamond drilling. The concentric zonation and faults have been used to constrain the mineralization in a series of mineralized zones. Grade continuity within the mineralized zones has been determined by semi-variograms for each variable.

 

Semi-variograms are an aspect of data analysis that assist in defining the correlation and range of influence of a grade variable in various directions in three dimensions. Semi-variograms are a graphical geostatistical tool used to determine the direction and range over which samples show continuity. The semi-variogram plots the mean squared difference between samples as an increasing function of distance between samples, and as the distance between samples increases, it reaches a point (the range) where samples are no longer correlated.

 

In this case, the semi-variogram analysis was completed after moving major fault blocks back to pre-fault positions. The kriging procedure was completed on fault blocks in their current positions; thus by using the range in each of the major directions, the grade continuity can be quantified. This in turn can be used to establish classification levels.

 

The resource is classified in accordance with the 2014 CIM Definition Standards.

 

Measured

 

“Geological evidence is derived from detailed and reliable exploration, sampling and testing and is sufficient to confirm geological and grade or quality continuity between points of observation.”

 

Contiguous blocks within the Cu-Ag and Cu-Mo Zones estimated in Pass 1 (using one quarter of the semi-variogram range) for both MoS2 and Cu were classified as measured. For the Mo and MSI Zones where Cu, Ag and W provide little of the economic benefit contiguous blocks estimated in Pass 1 for MoS2 were classified as measured.

 

Indicated

 

“Geological evidence is derived from adequately detailed and reliable exploration, sampling and testing and is sufficient to assume geological and grade or quality continuity between points of observation.”

 

Indicated blocks were established from unclassified blocks estimated for Cu or MoS2 in Pass 1 or 2 using search ellipses up to a maximum of one half the semi-variogram range.

 

Inferred

 

All other blocks were classified as inferred.

 

An inferred mineral resource is that part of a mineral resource for which quantity and grade or quality are estimated on the basis of limited geological evidence and sampling. Geological evidence is sufficient to imply but not verify geological and grade or quality continuity. An inferred mineral resource has a lower level of confidence than that applying to an indicated mineral resource and must not be converted to a mineral reserve. It is reasonably expected that the majority of inferred mineral resources could be upgraded to indicated mineral resources with continued exploration.

 

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The author in classifying the mineral resource into the three different categories has examined the characteristics of the mineralization and associated reports and preliminary data and information concerning mining, metallurgy, economics and social and environmental sensitivity and has determined that the classification meets the requirement of reasonable prospects of eventual economic extraction in regard to this PEA study.

 

Specifically, it must be noted that metallurgical tests to separate a combined Cu-Mo concentrate into separate saleable concentrates have yet to be completed. However, SGS 2009, as outlined in section 13.1.5, indicates that there is no reason that separate saleable copper and molybdenum concentrates cannot be produced. In addition, based on similar operations at Las Pelambres, Andina, Collahuasi, Gibraltar and Sierrita, there is no reason to indicate that this concentrate separation cannot be produced with additional metallurgical testing prior to a pre-feasibility study. Given this information, the author is confident that the metallurgical work would allow the application of modifying factors to support future detailed mine planning and the final evaluation of the economic viability of the deposit.

 

Figure 14-3 shows indicative plan views of the measured, indicated and inferred blocks at CuMo.

 

Note: As with the 2015 resource estimate, the current resource is constrained within the 2012 Snowden pit. Figure 10-1, Figure 10-2 and Figure 10-3 show the outline of the 2012 Snowden constraining pit, and a projection of categorized blocks.

 

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Source: Giroux et al , 2015, modified 2019

 

Note: The above shows all blocks estimated. The outline of the 2012 Snowden constraining pit has been added. The blocks within this constraining pit are summarized in the various tables.

 

Figure 11-3: Plan views of the measured, indicated and inferred blocks at CuMo

 

11.9Recovered Value

 

To properly evaluate the CuMo deposit with four metals occurring in different zones, A factor named recovered value, or RCV, was used. This calculation used metal prices in US dollars and metal recoveries.

 

The RCV calculations were based on the set of prices defined in Table 14-13.

 

Table 11-12: Metal prices for resources

 

Metal Price
Copper (Cu), $/lb 3.00
Molybdenum trioxide (MoO3), $/lb 10.00
Molybdenum Metal (Mo), $/lb 15.00
Silver (Ag), $/ounce 12.50

 

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Molybdenum is sold as molybdenum trioxide (MoO3) which has higher Mo content. The price used in this study for MoO3 is $10/lb. MoO3 is calculated from MoS2 by the following:

 

Pounds Mo = MoS2 * 20 / 1.6681

 

Pounds MoO3 = Pounds Mo * 1.5

 

The metal recoveries used to calculate RCV were a function of mineralized zones as follows:

 

Table 11-13: Metal recoveries sorted by mineralized zone

 

Metal

%Recoveries

in Oxides

%Recoveries in Cu-Ag Zone %Recoveries in Cu-Mo Zone %Recoveries in Mo & MSI Zones
Cu 60.0 68.0 85.0 72.0
Mo 80.0 86.0 92.0 95.0
Ag 65.0 75.0 78.0 55.0

 

Note: The recoveries for all metals in the MSI Zone were similar to the Mo Zone

 

Factors to use in RCV equation were as follows:

 

MoS2 Factor ($/ton) = MoS2 % * Mo Recovery % * 2000 lbs/ton * $/lb MoO3 * 1.5/1.6881
   
Cu Factor ($/ton) = Cu % * Cu Recovery % * 2000 lbs/ton * $/lb Cu
   
Ag Factor ($/ton)  = Ag ppm * Ag Recovery % * $/oz Ag
  31.1035 g/oz * 1.1023 tons/tonne

 

The equations to calculated RCV for each mineralized zone were as follows:

 

RCV (oxides) = (Cu% * 36.0) + (Ag(ppm) * 0.24) + (MoS2% * 143.88)

 

RCV (Cu-Ag) = (Cu% * 40.8) + (Ag(ppm) * 0.27) + (MoS2% * 154.67)

 

RCV (Cu-Mo) = (Cu% * 51.0) + (Ag(ppm) * 0.28) + (MoS2% * 165.46)

 

RCV (Mo) = (Cu% * 43.2) + (Ag(ppm) * 0.20) + + (MoS2% * 170.85)

 

RCV (MSI) = (Cu% * 43.2) + (Ag(ppm) * 0.20) + + (MoS2% * 170.85)

 

For blocks overlapping the mineralized zone boundaries, a weighted average RCV was produced.

 

A complete series of tables for each zone (5), each classification (4) and for each price regime (3) plus an overall set were produced (a total of 72 tables). For the purposes of this summary report, the mineral resource estimate described next was for all zones.

 

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11.10Mineral Resource Estimate

 

Table 11-14. Table 11-15, Table 11-16, and Table 11-17 report the overall mineral resource estimated within the Snowden 2012 open pit shell at a variety of RCV cut-offs. The $5.00/t cut-off is highlighted as an appropriate RCV cut-off based on grade improvements using mineral sorting processes. The base case $5.00 cut-off is suggested to separate waste from material that is fed to the sorters. The actual cut-off used in economic analysis and mine design will vary depending on numerous conditions at the time of the calculation: including metal prices, recoveries and operating costs.

 

It should be noted that since the convention for the CuMo project has been to work with %MoS2, as calculated from measured %Mo, the %MoS2 values in the resource estimate tables are 1.6681 times greater than %Mo.

 

Table 11-14: Measured resources

 

Cut-off

RCV

($)

 

  Grade > RCV Cut-off Contained Metal

Quantity

(Mt)

MoS2

(%)

Cu

(%)

Ag

(ppm)

RCV

($)

Re

(ppm)

S

(%)

Mo

(mmlbs)

Cu

(mmlbs)

Ag

(Moz)

2.5 308.4 0.079 0.074 2.09 17.32 0.029 0.233 292.1 456.5 18.8
5.0 297.2 0.081 0.076 2.09 17.83 0.03 0.229 288.6 451.7 18.1
7.5 282 0.085 0.076 2.06 18.48 0.031 0.223 287.4 428.7 16.9
12.5 227.9 0.097 0.075 2 20.50 0.036 0.217 265 341.8 13.3
15.0 195.4 0.105 0.072 1.9 21.71 0.039 0.212 246 281.3 10.8
17.5 159.7 0.115 0.067 1.8 23.04 0.043 0.207 220.1 213.9 8.4
20.0 122.9 0.125 0.063 1.7 24.50 0.047 0.202 184.1 154.8 6.1

 

Source: Giroux et al, 2015, modified 2019

 

Table 11-15: Indicated resources

 

Cut-off

RCV

($)

 

  Grade  > RCV Cut-off Contained Metal

Quantity

(Mt)

MoS2

(%)

Cu

(%)

Ag

(ppm)

RCV

($)

Re

(ppm)

S

(%)

Mo

(mmlbs)

Cu

(mmlbs)

Ag

(Moz)

2.5 2216.1 0.049 0.079 2.48 12.32 0.018 0.277 1301.9 3501.4 160.3
5.0 1972.3 0.053 0.085 2.57 13.40 0.019 0.269 1253.3 3352.9 147.8
7.5 1708.3 0.059 0.088 2.59 14.55 0.021 0.258 1208.4 3006.5 129
12.5 1050.6 0.076 0.09 2.55 17.67 0.027 0.235 957.4 1891.1 78.1
15.0 798.5 0.083 0.09 2.56 19.06 0.03 0.231 794.6 1437.2 59.6
17.5 541.6 0.093 0.088 2.49 20.60 0.034 0.226 603.9 953.2 39.3
20.0 301.3 0.106 0.082 2.36 22.49 0.039 0.219 383 494.2 20.7

 

Source: Giroux et al, 2015, modified 2019

 

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Table 11-16: Measured and indicated resources

 

Cut-off

RCV

($)

 

  Grade  > RCV Cut-off Contained Metal

Quantity

(Mt)

MoS2

(%)

Cu

(%)

Ag

(ppm)

RCV

($)

Re

(ppm)

S

(%)

Mo

(mmlbs)

Cu

(mmlbs)

Ag

(Moz)

2.5 2524.6 0.053 0.079 2.43 12.93 0.019 0.272 1604.3 3988.9 178.9
5.0 2269.6 0.057 0.084 2.5 13.98 0.021 0.264 1551.1 3812.9 165.5
7.5 1990.4 0.063 0.086 2.51 15.10 0.022 0.253 1503.5 3423.5 145.7
12.5 1278.6 0.079 0.087 2.46 18.17 0.029 0.232 1211.1 2224.8 91.7
15.0 993.9 0.088 0.087 2.43 19.58 0.032 0.227 1048.7 1729.5 70.4
17.5 701.4 0.098 0.083 2.33 21.16 0.036 0.221 824.1 1164.2 47.7
20.0 424.3 0.112 0.077 2.17 23.07 0.041 0.214 569.8 653.4 26.9

 

Source: Giroux et al, 2015, modified 2019

 

Table 11-17: Inferred resources (molybdenum, copper, silver, rhenium and sulfur)

 

Cut-off

RCV

($)

 

  Grade  > RCV Cut-off Contained Metal

Quantity

(Mt)

MoS2

(%)

Cu

(%)

Ag

(ppm)

RCV

($)

Re

(ppm)

S

(%)

Mo

(mmlbs)

Cu

(mmlbs)

Ag

(Moz)

2.5 3373.6 0.04 0.057 1.93 9.55 0.014 0.304 1617.9 3845.9 189.9
5.0 2556.6 0.048 0.067 2.13 11.48 0.017 0.282 1471.4 3425.9 158.8
7.5 1996 0.056 0.07 2.23 13.07 0.02 0.261 1340.1 2794.4 129.8
12.5 996.4 0.078 0.064 1.98 16.74 0.028 0.231 931.8 1275.4 57.5
15.0 637 0.086 0.074 2.16 18.63 0.03 0.244 656.8 942.7 40.1
17.5 384.8 0.094 0.084 2.34 20.49 0.032 0.259 433.7 646.4 26.3
20.0 190.2 0.109 0.078 2.37 22.80 0.037 0.262 248.6 296.8 13.1

 

Source: Giroux et al, 2015, modified 2019

 

Note: Mineral resources that are not mineral reserves do not have demonstrated economic viability.

 

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12Mineral Reserve Estimates

 

No mineral reserve estimates, as defined by CIM Definition Standards, currently exist for the CuMo project.

 

13Mining Methods

 

13.1Mining Approach

 

The CuMo project is envisaged to be developed using open pit mining techniques. The scale of the deposit is such that ultra-class mining equipment (e.g. 400-ton trucks) has been considered for the purposes of this PEA. As well, to improve the head grade of the flotation mill feed, the author has considered the implementation of mineral sorting for the project. Specifically, the author envisions a multi-stage bulk sorting process accompanied by a final particle-sorting stage to upgrade the mil feed. These are described further in Section 17.2 and 17.3. The result of the mineral sorting strategies is a reduction of waste fed to the mill, thereby improving feed head grade. There is however added cost, but this is all taken into consideration in determining the potential mineable resource for the project.

 

13.2Pit Optimization

 

Under supervision of the author, SRK applied Lerchs Grossman pit optimization techniques using Geovia’s WhittleTM software to generate potential pit shells for mining. The inputs and outcomes of this process are described herein.

 

13.2.1Pit Geotechnical Considerations

 

The author conducted a basic, PEA level, geotechnical assessment to define pit wall slope inputs for the pit design. The assessment comprised:

 

A review of the existing geotechnical data sources

 

A site visit to view the proposed pit footprint and evaluate the historical core

 

An assessment of the extents and confidence level of with the data

 

Processing of the data for rock mass characterization and classification

 

Formulation of pit wall recommendations

 

Data Sources

 

A summary of the reviewed data types provided by CuMoCo pertinent to this geotechnical assessment is presented in Table 16-1.

 

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Table 13-1: Summary of the reviewed data types

 

Data Type Details
Technical Report NI 43-101 Resource Estimate Update (Snowden), dated 12 June 2012
Geology Model 2-D schematic map and sections illustrating the deposit major geology, alteration, mineralization structural regime
Drill hole Database

Drill hole database comprising;

 

exploration drill holes from the 2006 to 2012 drilling campaigns, including; lithology, alteration, mineralized zone and RQD. Included three

 

three geotechnical drill holes from the 2010 drilling campaign with detailed properties logged to RMRL(90).

Core Photographs Core photographs from geotechnical drill hole C10-55
Topography Site topographic surface
Pit Shell Snowden resource pit shell

 

On 30 October 2018, a senior geotechnical engineer from SRK (the “author” of this sub-section) visited the CuMo project site, the area of the proposed pit footprint and the project core facility. Observations were made of the site setting, rock exposures and the core from geotechnical drill hole C10-55 was viewed. These observations were considered for the analysis and design herein.

 

Snowden Report

 

Snowden conducted a resource estimate update and technical report in 2012 (Snowden, 2012). There was no geotechnical assessment undertaken as part of the study. Pit wall slopes used in the PEA were given for ground elevation intervals and became shallower with pit depth i.e. the upper interval was 45°, the next 40°, and the north south and west walls had a lower interval of 35°. The resultant overall slope angles (OSA) calculated using this configuration are shown in Table 16-2.

 

The pit-shell used to constrain the resource estimation is not the same pit-shell as used to derive the mine plan used for this PEA. The design parameters for the PEA mine plan and resulting pits are discussed in Sections 16.2.3 16.2.4 and 16.2.5.

 

Table 13-2: Pit slope design details in Snowden (2012)

 

Pit Sector Snowden Resource Pit Shell Depth (m)

Bench Height

(m)

Calculated OSA

(°)

North wall 670 15 42
East wall 590 15 43
South wall 850 15 42
West wall 670 15 42

 

These wall heights and design slope angles were plotted on an industry-recognized empirical chart showing various operations around the world Figure 16-1. Also plotted on the chart are separately-derived ‘trend lines of nominal factor of safety’ (after Hoek and Bray, 1981). Note that pit slope stability depends on a variety of site-specific factors which makes it difficult to directly compare with other sites, but the chart is still useful for benchmarking at early project design stage.

 

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At an ultimate depth of over 600 m, the conceptual design walls are significantly higher than most operating mines in North America. The precedent for cases is very limited but the pits that are of those heights have all encountered slope stability problems in some areas of the mine. The plot suggests that these proposed OSAs fall around FoS of equity and may not be achievable.

 

As a result, the author proceeded to investigate and study further the wall heights and slope angles.

 

 

Source: SRK, 2019

 

Figure 13-1: Empirical pit wall chart with the Snowden (2012) walls added

 

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Data Processing

 

The author undertook these tasks with the project data:

 

Viewed the project drill hole traces relative to the Snowden (2012) ultimate pit shell

 

Modelled the project RQD data to produce wireframes of binned values broadly equating to; very poor (<20), poor (21-40), fair (41-60), good (61-80), very good (81-100)

 

Processed the detailed geotechnical data for RMRL90 rock mass rating and viewed the colour-coded values over the full depth of the hole

 

QA/AC check of the core photos against the calculated RMRL90 values

 

Basic statistical analysis of the RQD and RMRL90 data

 

Key Observations and Findings

 

The author makes these observations and findings from the data review and processing:

 

The three geotechnical drill holes are clustered together in the south western area of the deposit, hence spatial (and depth) coverage is very limited.

 

The primary geotechnical drill hole (C10-55) is aligned roughly parallel with the pit wall, hence geotechnically-important structures aligned this way will be invisible or under-represented.

 

The core from drill hole C10-55 showed a deep weathering profile, was generally highly fractured largely due to medium to high micro-defect intensity, and included damage zones, gauge, breccia and rubble probably associated with large-scale brittle structures e.g. faults, shear zones.

 

The model of the project RQD data shows that most of the core was logged as ‘poor’ to ‘very poor’ RQD, with small core zones which are ‘fair’. The mean RQD value for the data set was 18.

 

The RMRL90 values in drill hole C10-55 showed a large spread over the range of 25 to 70, with a mean value of 46. The colour-coded plot showed no obvious zonation or increase in values with depth.

 

The QA/QC check found that there were sections of core that had similar RMRL90 values and yet had distinctly different rock quality in the core photos. This points to possible errors, or inconsistencies, in the logging practices and the project geotechnical data set.

 

Based on these observations and findings, the author concludes that pit slope stability of the deposit will likely be controlled by rock mass strength and major structures.

 

Pit Slope Evaluation

 

These tasks were conducted to reach an evaluation of the possible achievable pit slopes:

 

Using professional judgement and experience, the author selected and applied mining adjustment factors for; structures orientation, induced stresses, blasting and weathering, to get Mining RMR (MRMR) ratings for drill hole C10-55.

 

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Selected a pit design acceptance criterion of FoS=1.3 which is common for inter-ramp slopes (although in more advance design stages a higher factor of safety may be used locally around critical pit infrastructure such as ramps).

 

Using the well-known and industry-recognized Haynes and Terbrugge (1990) chart and considering an inter-ramp stack height of around 350 ft, the MRMR values were plotted to find pit slope angles. Reflective of the small data set and low confidence in the values, the lower half of the calculated MRMR range was plotted and used for the assessment.

 

Pit Slope Recommendations

 

For the PEA pit design, the author recommends the following pit wall design criteria:

 

maximum bench height of 50 ft

 

bench width of 26 ft

 

inter-ramp wall angles of 42°

 

geotechnical berm of 65 ft every seven benches

 

To allow for geotechnical berms and a spiral ramp to reach the pit bottom, derived an overall slope angle to be used in pit shell definition of 37°.

 

Note these major limitations of the geotechnical assessment:

 

It was largely based on data from one geotechnical drill hole in one area of the deposit only. It does not provide coverage of the geology, alteration, mineralization units and regimes present over the site, nor of the open pit depth extent.

 

The site groundwater regime, or phreatic surface/s, were not considered. Porewater pressures can have a significant strength reduction and destabilizing effect on slopes.

 

The potential presence of lower-angle major fault structures could impact the overall slopes and may require specific design recommendations and/or mitigation strategies including flattening of the slopes.

 

13.2.2Bulk Sorting

 

Sort Analysis of Drill Hole Data

 

As mentioned, mineral sorting is being considered for the CuMo project to improve the grade of the mill feed. The description here is for the adoption of bulk sorting at CuMo.

 

In preparing the drill hole data for a sort analysis, the author applied factors to account for expected sorting conditions or inefficiencies. In particular, two factors were considered – dilution zone thickness at sample interval contacts and minimum thickness of sample interval. The first represents possible mixing that can occur during blasting or in material handling. The grades in this zone are the average of adjacent sample intervals. The second factor typically considers thin intersections of sample intervals after bench compositing. Considered values for dilution and minimum thicknesses at CuMo ranged from zero to two feet. In the end, a 2-ft dilution zone per interval was used, with no consideration of minimum sample interval thickness.

 

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The bulk sort analysis starts with considering grade control in the mine, whereby the author selected a sort feed cut-off to determine what goes to the sort plant versus what goes to waste. Then, using the composite-sample relationships discussed in Section 13.2.2, the author ran several scenarios examining the impact of multiple cut-off RCVs. In addition to the grade control cut-off, the author considered two RCV cut-offs for a given stage of sorting. Material below the lower RCV cut-off would be rejected as waste in the sort process, and material above the upper RCV cut-off would represent feed to the mill. Material between the cut-offs is referred to as “middlings”.

 

It was possible with these simulations of sorting, conducted directly on the drill hole data, to assess which combinations of cut-off grades produced the best results in terms of improved metal grades of the mill feed fraction and increased waste rejection. A final sort analysis however needed to be applied to the resource blocks to be able to assess preliminary economics that balance metal recoveries and waste rejection. The drill hole analysis results however provided a good starting point.

 

Sort Analysis of Resource Block Model

 

The composite-sample analysis discussed in Section 13.2.2 provides relationships between bench composite RCV and sample interval RCV. However, for sort analysis of blocks, selecting drill hole composite-sample relationships based on matching RCV grades is not possible due to the volume-variance effect. Block models generally have lower grades than the underlying drill hole data. To overcome this, the drill hole composite-sample relationships were re-expressed on a percentile RCV basis. Ranges or “bins” of percentile RCV (in 10% intervals) were thus set up for the drill hole composites and the corresponding composite-sample relationships were re-estimated for the drill hole data.

 

Then, using the 3-D mineral resource block model described in Section 14, the author performed a sort analysis for blocks contained within the pit shell used by Snowden (Snowden, 2012) to constrain the mineral resource. The percentile RCV of a block is compared to the percentile RCV ranges for the drill hole composites to select the applicable composite-sample relationship for sorting. Again, by applying a cut-off RCV for waste and another for mill feed, the block could be segregated into three products, waste, mill feed, and middlings, according to the composite-sample relationship.

 

To maximize the benefit of bulk sorting, and to take advantage of increased heterogeneity at smaller scales, multiple stages of bulk sorting were considered. The middlings portion became the feed for the subsequent sorting stages. As well, the middlings product streams were split in two to further reduce the volume of batches for sorting and thus increase the heterogeneity (per conclusions of Section 13.2.2).

 

To determine the composite-sample relationships that would apply to subsequent stages of sorting, the RCV of the middlings was re-calculated from the reported Cu, Mo, and Ag grades. This RCV value was compared to the drill hole composite analysis to derive the corresponding composite percentile RCV range. The composite-sample relationship for this range was then used to predict the results of bulk sort.

 

Using the original composite-sample relationship at each sort stage is seen to be conservative. As was observed for CuMo (Section 13.2.2), the smaller the scale observed, such as at a later stage bulk sort, the greater is the heterogeneity, thus improving discrimination around cut-off grades. The limitation for the CuMo project is the drill hole sample length (10-ft) which precludes shorter interval heterogeneity analysis.

 

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Final Bulk Sort Parameters

 

For this PEA, three stages of bulk sorting were run on the block model. The grouping of cut-offs which appear to produce the best economic results are as follows:

 

Grade control cut-off RCV = $7.50/t

 

Stage 1 Bulk Sort – Lower cut-off = $7.50/t; upper cut-off = $20.00/t

 

Stage 2 Bulk Sort – Lower cut-off = $7.50/t; upper cut-off = $17.50/t

 

Stage 3 Bulk Sort – Lower cut-off = $7.50/t; upper cut-off = $15.00/t

 

Re-use of the same cut-offs (e.g. the lower cut-off segregating waste from middlings) is allowed as it is recognized that any bulk sort is not precise and that sort products will continue to contain a mix of material across the full range of sample grades.

 

The outcome of the block sorting analysis are blocks coded with tonnages of waste, mill feed, and middlings. Grades were calculated for each of these fractions in each block. As well, sorting costs were determined by applying $0.10/t for each bulk sort stage as well as an initial primary crushing cost of $0.20/t, which applies to all material fed to the sorting plant. This version of the block model was then used for mine planning.

 

13.2.3Particle Sorting

 

A review of the particle sorting test work (Section 13.2.1) highlighted that the recovery of copper is not as good as molybdenum when RCV alone is the primary measure for sorting. Consequently, the author undertook a limited bivariate analysis of the test results, whereby the test samples were segregated into Mo-rich and Mo-poor samples. This would allow sorting based on Mo XRF grade for the Mo-rich samples and on Cu XRF grade for the Mo-poor samples.

 

In addition, as it was recognized that particle sorting was to come after bulk sorting, it was appropriate to cap the value of samples to be used in the analysis. A review of the samples showed that an RCV cap of $60/t was appropriate for the feed to particle sorting. Lastly, the particle sort analysis was weighted by the portions of the mineralized zones contained within the eventual PEA pit (Note that to reduce complexity, the benefit of particle sorting was not applied in pit optimization, but rather prior to economics. This is a more conservative but acceptable approach.)

 

Multiple Mo grades were tested as cut points to segregate the samples into Mo-rich and Mo-poor populations. It was found that a 100 ppm Mo cut point had the best outcomes, which are provided in Figure 16-2. For this figure, the Mo-rich samples are ranked (sorted) based on Mo grade, while the Mo-poor samples are ranked by Cu grade. As can be seen, the Cu response is considerably improved (vs Figure 13-1), while the Mo response is somewhat muted. This is fine as it was found that through the bulk sorting analysis, most of the higher Mo grade material was pulled to mill feed, leaving Cu with greater potential for particle sorting.

 

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Source: SRK, 2019

 

Figure 13-2: Particle sort analysis splitting between Mo-rich and Mo-poor samples

 

A variety of different cut points and mass pulls were subsequently tested in the project economics, with the most promising being the 100 ppm Mo cut point and a mass pull of around 40%. The specific sort parameters are provided below:

 

Mass pull - 40.8%

 

Mo recovery – 56.9%

 

Cu recovery – 52.6%

 

Again, these parameters were only used in project economics, not pit optimization, which is discussed further below.

 

13.2.4Pit Optimization Input Parameters

 

The 3-D resource block model was imported to MineSightTM mine design software in order to populate the blocks with the results of the sorting analysis. The new updated model was transferred to WhittleTM optimization software to carry out the pit optimization work in order to generate conceptual mining and processing schedules for the Preliminary Economic Analysis contained in this report. The pit shells that resulted are new, and are contained within, but are not be confused with, the 2012 Snowdon resource-constraining shell used for resource estimation.

 

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In consultation with CuMoCo, assumptions were made for metal pricing (Mo, Cu, Ag) and offsite costs. Open pit mining costs were estimated to reflect expected haul destinations for waste and mill feed, taking advantage reduced haulage expected in early years. As well, to model the impact of a potential pre-strip period, which would be capitalized in the economic analysis, material above a selected elevation (6,100 ft) was assigned zero cost. Processing costs were based on a prior Ausenco trade-off study for plant throughput (Ausenco, 2009). A mill feed of 150,000 stpd was considered. Another assumption is that the project will build a roaster to treat the molybdenite (MoS2) concentrate.

 

A summary of the input parameters used is presented in Table 16-3.

 

Whittle™ open pit optimization software was then used to generate new pit shells for mine planning, using the resource block model updated with sorting results. The economically defined pit shell limits included measured, indicated and inferred mineral resources.

 

An inferred mineral resource is that part of a mineral resource for which quantity and grade or quality are estimated on the basis of limited geological evidence and sampling. Geological evidence is sufficient to imply but not verify geological and grade or quality continuity. An inferred mineral resource has a lower level of confidence than that applying to an indicated mineral resource and must not be converted to a mineral reserve. It is reasonably expected that the majority of inferred mineral resources could be upgraded to indicated mineral resources with continued exploration.

 

Inferred mineral resources must be excluded from estimates forming the basis of feasibility or other economic studies.

 

13.2.5Optimization Results

 

A series of optimized pit shells were generated for the CuMo deposit based on varying revenue factors (base metal price multiples). The results of the pit optimization evaluation on the deposit for varying revenue factors values are presented in Figure 16-4. Note the NPV in this optimization summary does not take into account capital costs and is used only as a guide in shell selection and determination of the mining shapes. The actual NPV of the project is summarized in the economics section of this report (Section 22).

 

Whittle™ produces both “best case” (i.e., mine out shell 1, the smallest shell, and then mine out each subsequent shell from the top down, before starting the next shell) and “worst case” (mine each bench completely to final limits before starting next bench) scenarios. These two scenarios provide a bracket for the range of possible outcomes. The shells were produced based on varying revenue factors (0.3 through to 1.3 of base case) to produce the series of nested shells with the NPV results shown.

 

Note that in the pit optimization analysis undertaken, no value was assigned to the middlings from the third and final stage of bulk sorting. However, the decision was taken later in the project to feed the middlings to particle sorters. This has been reflected in the overall preliminary economic evaluation of the deposit, but not in the selection of pit shells for mineable resources.

 

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Table 13-3: Pit optimization input parameters

 

Item Unit Value
Revenue    
Mo Price $/lb 14.00
Cu Price $/lb 3.00
Ag Price $/oz 17.50
Metal Recoveries % Varies; see Table 13-5
Technical Constraints    
Pit slope angles Overall degrees 37
Mining dilution % 3%
Mining recovery % 98%
Processing rate tpd 150,000
Offsite Costs / Inputs    
Molybdenum    
Concentrate grade %Mo in MoS2 conc 52%
Concentrate moisture % 0
Transport to roaster $/t 5
Roasting Cost $/lb concentrate 0.50
Roaster recovery % 99%
Transport to market $/t MoO3 0
Copper    
Concentrate grade % Cu 23
Concentrate moisture % 10%
Payable Cu % 96.5%
Transport to smelter $/t concentrate 39.00
Smelter cost $/t concentrate (dry) 75.00
Refining cost $/lb 0.08
Silver    
Payable Ag % 90%
Ag refining cost $/oz 0.40
Other offsite costs3F[5] % 1.0
Costs    
Mining cost $/t mined Modeled by bench
Processing cost $/t milled 4.45
G&A Cost $/t milled 0.50
Sustaining capital costs $/t $1.14

 

 

5loss, insurance, commission

 

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Source: SRK, 2019

 

Figure 13-3: Pit optimization results

 

13.2.6Pit Shell Selection

 

The author reviewed the pit optimization results and with consideration of the pit shell NPVs as well as their shapes and quantities, selected the appropriate pit shells for the development of conceptual production schedules. No specific mine designs were created, nor were fully detailed schedules developed. The author considers this appropriate for schedules in a PEA. The estimates of mined quantities for the phases representing the increment between pit shells are provided in Table 16-4. Mill feed after mineral sorting is also shown. This includes not only the mill feed product from bulk sorting, but also the same from particle sorting, using a mass pull on the bulk sort middlings of 40.8%.

 

Table 13-4: CuMo mined quantities

 

Phase

 

Shell

 

 

Total Waste Sort Feed Strip Ratio Mill Feed
Mt Mt Mt Mt %MoS2 %Cu ppm Ag
1 8 575 307 268 1.14 194 0.07 0.11 3.07
2 9 673 306 367 0.83 272 0.08 0.11 3.09
3 13 1,144 603 541 1.11

391

0.08 0.10 2.80
4 18 1,339 673 666 1.01 475 0.07 0.11 3.29
5 (final) 23 883 536 347 2.07 250 0.08 0.09 2.61
Total   4,615 2,425 2,190 1.12 1,582 0.07 0.10 3.00

 

The pit shells representing the five phases are illustrated in Figure 16-3 to Figure 16-6.

 

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Source: SRK, 2019

 

Figure 13-4: CuMo pit phase shell outlines

 

 

Source: SRK, 2019

 

Figure 13-5: CuMo pit phase shell east-west cross-section A-A’

 

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Figure 13-6: CuMo pit phase shell north-south cross-section B-B’

 

The pit shells are mathematical derivations. During the pit design at later stages in the project, it is envisioned that some pit shells will be combined in certain sectors of the pit to ensure adequate mining widths. For CuMo, the northeast sector, constrained by Grimes Creek, would be such an instance.

 

13.3Waste Rock Facilities and Stockpile Design

 

Waste rock is produced from two sources, run of mine waste and sort waste. Sort waste is generated during the mineral sorting process, both bulk and particle sorting, and will be used in construction of the TSF embankment, discussed in Section 18.6. Run of mine waste is transported from the pit to WRF in Charlotte Gulch and Clear Creek and is also used as construction material in the TSF embankment (refer to Figure 16-7).

 

WRFs are designed to ensure physical stability throughout the mine life and into perpetuity. Benching, drainage, geotechnical stability, operational efficiency, and closure are all factors considered during design of waste rock facilities. At the time of the PEA, there was limited information available for geotechnical or geochemical assessments, but these are recommended for future study work.

 

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Source: SRK, 2019

 

Figure 13-7: CuMo mine layout

 

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13.3.1Charlotte’s Gulch Waste Rock Facility

 

The WRF in Charlotte Gulch, immediately to the south of the CuMo pit, is constructed by two methods. Upper bench waste from the initial phases of mining are placed in platforms following the east and south walls of Charlotte Gulch. The initial platform is at an elevation of 6,800 ft, followed by two wraparound platforms at elevations of 6,600 ft and 6,300 ft respectively.

 

The bulk of the waste rock in Charlotte Gulch is to be placed as a single platform at 6,100 ft elevation which is the approximate elevation of pit access. Toward the central and south portions of the WRF, the platform will increase to 6,200 ft in elevation to clear a height of land.

 

Clear Creek Waste Rock Facility

 

Run of mine waste rock will be hauled from the pit to the Clear Creek WRF which is buttressed against the tailings embankment also in Clear Creek. The buttress is designed to 6,200 ft elevation with a 3V:1H downstream slope. The WRF is intended to both provide additional waste storage capacity and to facilitate tailings embankment geotechnical stability and drainage.

 

13.4Production Schedule

 

The author developed a life-of-mine (LOM) production schedule based on satisfying a mill feed, after sorting of 150,000 stpd. After an initial build-up of 2.7 million tons, the mine plan maintained a stockpile inventory ahead of the sort plant of 0.2-0.8 Mt. Note that wherever possible, mill feed inventory should be maximized at the face in the pit to ensure heterogeneity is maintained. Another scheduling criterion was balancing haul truck hours, ensuring no spikes in required trucks.

 

The resulting mine production schedule is provided in Figure 16-8.

 

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Source: SRK, 2019

 

Figure 13-8: CuMo LOM production schedule

 

The production schedule shows two years of pre-stripping, followed by a ramp-up year in mill feed (27.4 Mt). Steady stated production of 54.7 Mt or 150,000 stpd is achieved in year 2. Full production lasts 28 years, with a tail-off in year 30 of production.

 

13.5Equipment Selection and Fleet Requirements

 

Owing to the magnitude of mine production, ultra-class mine equipment is to be considered at CuMo. As part of this, and in keeping with current trends in mine haulage, the author has considered the deployment of an autonomous haulage fleet. While extra costs are incurred for hardware on the trucks, a central control system, and associated licensing and technical support, the benefits of labor savings, increased utilization, and improved tire life and maintenance costs were applied. Additionally, the author considered the use of semi-autonomous drills, wherein one operator can operate three drills drilling autonomously.

 

The envisioned fleet of primary mining equipment at steady state production is provided in Table 16-5.

 

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Table 13-5: CuMo primary mine equipment fleet

 

Equipment Type Size Basis Fleet Size
Rotary Blast Hole Drill 15 in Hole Diameter 5
Electric Cable Shovel 100 t Bucket Size 4
Autonomous Trucks 400 t Payload 25-27
Track Dozer 21 ft Blade Width 6
Rubber Tire Dozer 21 ft Blade Width 3
Grader 24 ft Blade Width 4
Water Truck 45,000 gal Water Tank 3
Backhoe 5.0 yd3 Bucket Size 2

 

In addition to this primary mine equipment, ancillary equipment consisting of utility (small) earthmoving equipment, mobile equipment maintenance vehicles, light vehicles, dewatering pumps, and portable lighting are to be included for the project. But at this level of study, their costs will be factored from the primary equipment.

 

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14Recovery Methods

 

Unless otherwise stated, the sub-sections in this section were previously provided in the report, “Summary Report on the CUMO Molybdenum Property, Boise County, Idaho” (Giroux, Dykes, Place, 2015). The authors have reviewed the underlying data, analytical work, and technical reports and have taken responsibility for this summary making edits as necessary. As well, John Starkey has re-interpreted comminution test results in terms of kW/t to simulate grinding mill sizes.

 

Mr. Starkey has accordingly confirmed or rewritten Section 17, with the exception of Section 17.2.

 

14.1General

 

The CuMo processing facilities and associated service facilities will process ROM (run-of-mine) feed delivered to the primary crusher, to produce separate copper and molybdenum concentrates, waste rocks, and tailings. The proposed process encompasses crushing the ROM feed, bulk sorting, particle sorting, grinding, bulk rougher and cleaner flotation, regrinding, molybdenum separation and dewatering of copper and molybdenum sulfide concentrates. Molybdenum concentrates will be further processed downstream in a roaster to produce a saleable molybdenum trioxide product. The roaster would comprise of a standard multiple hearth gas fired roasting furnace heating the concentrate to approximately 600 degrees centigrade. In order to protect air quality, the flue gases and dust from the roasting are processed to produce sulfuric acid, and rhenium if it is economic to do so. In the case of sulfuric acid, it is recovered through water with the use of absorption towers. In the case of rhenium it would be recovered through solvent extraction to produce ammonium perrhenate. The copper concentrate will be trucked from site for downstream processing at another facility outside the scope of this report. The flotation tailings will be thickened before placement in the TSF.

 

The present design incorporates three 50,000 stpd grinding lines with the ability to expand flotation and further downstream processes as needed. The process after mining comprises two stages: stage 1 includes a gyratory crusher, bulk sort conveyor diversion system, stockpile feed conveyor, and bulk sorted stockpiles, particle sort system, and another stockpile conveyor; stage 2 includes the sorted product stockpile, SAG and ball mill grinding circuit, bulk flotation circuit including regrind and cleaner flotation, copper and molybdenum separation flotation circuit, copper concentrate dewatering and load-out; molybdenum concentrate thickening, ferric chloride leach circuit, (molybdenum) filtration, drying, bagging and load-out, and tailings thickening and pumping facilities. Bagged molybdenum concentrate is roasted in a separate off-site roasting plant for conversion to molybdenum trioxide.

 

The concentrator will use a conventional grinding and flotation flow sheet and industry standard equipment. Plant operation will be monitored using a control system from a centrally located control room. Sampling and stream assay monitoring will be via an automated system linked to the control system.

 

14.2Bulk Sorting

 

The following is original text for the current PEA.

 

The bulk sorting plant, located downstream of the primary crushers, would consist of a series of stages of splitting of streams, measuring their metal content, and then sorting. The schematic in Figure 17-1 shows the elements of a three-stage bulk sort plant.

 

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However, prior to the sorting plant, there would be a diversion mechanism that would allow the crushed material to bypass the sorting plant. This would be for emergencies, to not disrupt the flow of material to the mill. A future improvement may be to place an analyzer on the conveyor belt after the primary crusher to determine whether crushed material needs to go to the sorting plant or not.

 

  

Source: Modified from CWA Engineers Inc., 2019

 

Figure 14-1: Schematic of three-stage bulk sorting plant with particle sorting

 

Material feeding the plant (nominally 10,000 tph) is immediately split in two, and two penetrative elemental analyzers, such as a prompt gamma neutron activation analysis analyzer, measure the stream. To make a measurement, such analyzers require a batch of material on the belt to average readings over. For instance, in the case of Scantech’s Geoscan analyzers, this is 30 seconds of belt travel time. The length of conveyor from this first analyzer position to the sorting point is dictated by this 30 second interval and the travel speed of the belt. So, a belt traveling at 12 ft per second would require a conveyor length of at least 360 ft between analyzer and sort point. Alternate technologies are being developed to shorten the required measurement interval.

 

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At the sorting point, a signal is received from the analyzer to indicate what the approaching material consists of (mill feed, waste, or middlings). The rapid diversion mechanism then diverts the stream to receiving chutes and conveyors accordingly. Figure 17-2 illustrates a viable diversion system to facilitate the re-direction of a stream. As the intellectual property is not presently protected, details of the rapid diversion mechanism are omitted.

 

 

Source: Modified from CWA Engineers Inc., 2019

 

Figure 14-2: Schematic of bulk sorting diversion system

 

The CuMo sorting plant would consist of three stages of sorting. Each stage will produce mill feed, waste, and middlings products. The mill feed from each stage will be sent directly to the coarse mill feed stockpile in front of the mill, while the waste will be conveyed to a truck load out bin for delivery by haul truck to the TSF or WRF in Clear Creek.

 

The middlings portions become feed for subsequent sorting. To take advantage of the increased heterogeneity that comes with smaller scale (Section 13.2.2), the middling streams of the first and second sort are split in two to reduce the 30 second batch size (Figure 17-2). The third stage however will not have the middlings stream as this will next become feed for particle sorting.

 

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14.3Particle Sorting

 

The following is original text for the current PEA..

 

In order to ensure maximum mill feed recovery, particle sorting using XRF based sorting machines would be done taking feed from stockpiles or bins containing the middlings from the third stage of the bulk sort (Figure 17-1). Values so recovered would be added to the mill feed conveyors shown.

 

Up to eight lines would feed 350 to 400 short tons per hour into particle sorting modules. Based on current XRF particle sorting technology, each module would consist of multiple sorters to handle different size fractions. These sorters are available from a number of vendors, and capacity per unit, per size fraction, ranges from about 50 to 200 short tons per hour depending on the particle size fed.

 

This study assumes four 100 short ton per hour units are required per line based on the current technological limitations on throughput. The sizing and selection of these units need to be confirmed later as part of a more advanced level of study.

 

14.4Mill Design Criteria Summary

 

The remaining sub-sections were modified from the report, “Summary Report on the CUMO Molybdenum Property, Boise County, Idaho” (Giroux, Dykes, Place, 2015).

 

The overall approach was to design a robust process plant that could be scaled up and deliver good value for capital. The key project and specific criteria for the plant design and operating costs are provided in Table 17-1.

 

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Table 14-1: Summary of the process plant design criteria (150 ktpd).

 

Criteria Units Value
Sort Feed Capacity   ktpd (short tons) 250
    Mt/y (short tons) 90
Primary Crusher Availability   % 65%
Primary Crusher Throughput/ Feed   t/h (short tons) 16,000
Primary Crusher Selection Size   60 x 110
  No.   3
Mill Throughput/feed   Mt/y (short tons) 54.75
Mill/Grinding and Flotation Availability   % 92%
Mill Throughput/feed   t/h (short tons) 6,793
Total Power requirement   MW 186
Physical Characteristics BWI kWh/t (tonne) 15.8
  SPI® Mins 84.5
Grind Size P80 microns 63
Head Grade (Design)   %Cu 0.1
    %MoS2 0.11
    ppm Ag 2.87
Flotation Recovery (Cu-Ag Zone) Copper % 64%
  Silver % 70%
  Molybdenum % 83%
Flotation Recovery (Cu-Mo Zone) Copper % 85%
  Silver % 78%
  Molybdenum % 92%
Flotation Recovery (Mo Zone) Copper % 72%
  Silver % 55%
  Molybdenum % 95%
Cu Circuit Residence Time Roughers Mins 27.5
  Cleaner 1 Mins 10
  Cleaner Scav. Mins 2.5
  Cleaner 2 Mins 10
  Cleaner 3 Mins 5
Mo Circuit Residence Time Roughers Mins 35
  Cleaner 1 Mins 25
  Cleaner Scav. Mins 25
  Cleaner 2 Mins 25
  Cleaner 3 Mins 25
Cu Concentrate Filtration Rate   kg/m2/h 262
Concentrates Thickening Flux   t/m2/h 0.1
Mo Concentrate Filtration Rate   kg/m2/h 356
Tailings Thickening Flux   kg/m2/h 800
Tailings Thickener Underflow Density   % w/w 65
Collector Consumption (SIBX)   g/t (short ton) 66
Collector Consumption (Aero 3302)   g/t (short ton) 59
Activator Consumption (Moly Oil)   g/t (short ton) 51
Frother Consumption (X-133)   g/t (short ton) 67
Lime Consumption   kg/t (short ton) 0.18
Flocculant Consumption   g/t (short ton) 15
SAG Mill Media Consumption   kg/t (short ton) 0.25
Ball Mill Media Consumption   kg/t (short ton) 0.55
Regrind Mill Media Consumption   kg/t (short ton) 0.04

 

Detailed process design criteria incorporating the process mass balance, engineering design criteria and key sizing criteria, derived from the results of the metallurgical test-work program were determined and are summarized below.

 

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14.5Plant Design Basis

 

The key criteria selected for the plant design are:

 

Treatment of 150,000 stpd or 136,000 metric tonnes/day

 

Design availability of 92% (at full capacity), being 8,059 operating hours per year, with standby equipment in critical areas, such as cyclone feed pumps and tailing pumps.

 

Sufficient plant design flexibility for treatment of all mineralized zones at design tonnage

 

The selection of these parameters is discussed in detail below

 

14.6Throughput/Mill Feed and Availability

 

One main throughput/mill feed scenario was nominated by CuMoCo to evaluate different corporate investment hurdles. The authors have nominated overall plant availability at 92% or 8,059 hours per year. This is an industry standard for a large, multi-train, SAG mill grinding and flotation plant with moderately abrasive mineralized material operating in a well serviced geographic region. Benchmarking indicates that similar plants have consistently achieved this level.

 

14.7Processing Strategy

 

The overall processing strategy is to mine at high tonnage and send all mined material through a multi-stage sensor-based mineral sorting plant (including crushing, screening equipment, bulk and particle sorting). The sorting plant recovers the high-grade high profit rock and rejects marginal and waste rock. This allows the mill and tailings facilities to be significantly smaller while still producing high quantities of concentrate or similarly, can allow a mill of equal size to produce more total concentrate.

 

The mill process design is based on treating the different mineral types tested individually at the nominated design throughput/mill feed rates. Typically, the range in variability of material parameters such as SAG mill grinding hardness and head grade during process design are considered. However, due to the preliminary nature of the mining schedule, and the grinding and metallurgical test-work, the most competent and hardest of the three mineral types, identified by CuMoCo to date, have been used as the process design criteria.

 

14.8Flow Sheet Development and Equipment Sizing

 

The process plant flow sheet design for the CuMo circuit was conceptually based on those of comparable large flotation plants. Figure 17-3 shows a process schematic for the CuMo plant. Details of the flow sheet design and selection of major equipment for the process are discussed in the sections below.

 

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Source: Ausenco 2009 and modified by Sacré Davey 2018

 

Figure 14-3: CuMo process schematic

 

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The flowsheet shown in Figure 17-3 was originally authored by Ausenco 2009 and modified by Sacré Davey to add a sorting system (upper left). The section to the left of the coarse material stockpile (4) is compressed, showing a single stage sorting plant instead of two stages, with storage between the bulk and particle sorting stages.

 

The schematic shows the process starting at the upper left corner with mining trucks (1) delivering the 250,000 stpd (thousand tons per day) sorting feed to a primary gyratory crusher (2) at the edge of pit, the output is then delivered to the bulk sorting plant which generates both a mill feed product that is conveyed to a coarse material stockpile and a middling product for particle sorting. The product from particle sorting combines with the bulk sort mill feed product in the coarse material stockpile. . The SAG mill feed from the coarse material stockpile (4) is conveyed into the SAG mills (5).

 

14.9Unit Process Selection

 

The process plant design is based on a flow sheet with unit operations that are well proven in the sulfide flotation industry, incorporating the following unit process operations. Where considered practical, unit operations are sized to maximize the economies of scale possible with large equipment. The sorting system consists of the following unit processes. Mine sort feed (250,000 stpd) from the open pit is crushed using a primary gyratory crusher to a crushed product size of nominally 80% passing (P80) 120 mm and fed onto the bulk sort feed conveyor. A bulk sorting plant with PGNAA sensors divides the material into mill feed, middlings and waste piles. The middlings are further particle sorted, producing a waste stream and a mill feed stream which combines with the bulk sort mill feed in a course material stockpile. Waste from both sorting processes is loaded into trucks for disposal in the mine. The mill feed (150,000 stpd) is conveyed from the coarse material stockpile to the mill.

 

The general mill design consists of three 50,000 stpd modules. Each module typically consists of the following unit processes:

 

Conical stockpile of crushed mill feed with a live capacity of 18 hours, with two apron feeders per grinding train, each capable of feeding 120% of the full mill throughput/mill feed

 

A 22 MW SAG mill, 11.58 m (38 ft.) diameter with 7.60 m (25 ft.) EGL, in closed circuit with pebble crushing

 

Pebble crushing will be comprised of two MP800s per grinding train, crushing to a product size of nominally 80% passing (P80) 12 mm

 

Three 13 MW ball mills per grinding train, 7.32 m (24 ft.) diameter with 12.19 m (40 ft.) EGL, in closed circuit with hydrocyclones, grinding to a product size of about 80% passing (P80) 63 μm

 

Bulk rougher flotation consisting of 200 m3 forced air tank flotation cells to provide a total of 28 minutes of retention time

 

Rougher concentrate regrinding in three 1.0 MW vertical stirred mills per grinding train to a P80 of 10 μm

 

Bulk cleaner 1 and cleaner scavenger flotation consisting of 20 m3 forced air tank flotation cells to provide a total of 13 minutes of retention time

 

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Bulk cleaner 2 flotation cells consisting of 8 m3 trough shaped flotation cells to provide a total of 10 minutes of retention time

 

Bulk cleaner 3 flotation cells consisting of 8 m3 trough shaped flotation cells to provide a total of five minutes retention time

 

Bulk concentrate thickening in 11 m diameter high rate thickeners

 

Molybdenum rougher flotation consisting of 8 m3 trough shaped flotation cells to provide a total of 35 minutes of retention time

 

Molybdenum cleaner 1 consisting of 1.5 m3 trough shaped flotation cells to provide a total of 25 minutes of retention time

 

Molybdenum cleaner 2 flotation cells consisting of 1.5 m3 trough shaped flotation cells to provide a total of 25 minutes of retention time

 

Molybdenum cleaner 3 flotation cells consisting of 1.5 m3 trough shaped flotation cells to provide a total of 25 minutes retention time

 

Copper concentrate thickening in a high rate thickener and filtration in a horizontal plate and frame pressure filter

 

Molybdenum concentrate thickening in a high rate thickener

 

Molybdenum ferric chloride leach in 4,000 U.S. gallon, glass lined steel leach reactors followed by drying and storage in bulk one-ton bags

 

Tailings thickening in a high rate thickener to an underflow density of 65% solids

 

TSF for process tailings in a conventional dam

 

Raw process plant water supply from site water storage facility reticulated throughout the plant as required. (Harvesting and storage of raw water sufficient to allow continued water supply throughout the year is excluded from the study scope)

 

Total water requirement estimated at an initial 190 acre-feet then 10% replacement rate per year due to losses in evaporation and concentrate etc.

 

Process water dam and distribution system for reticulation of process water throughout the plant as required. Process water is supplied from water reclaimed from the TSF, from process operations and site run-off with raw water used as make-up water as required

 

Potable water is generated by treatment of raw water in a reverse osmosis (RO) unit at the process plant. Potable water is distributed to the plant, and for miscellaneous purposes around the site

 

Plant, instrument and flotation air services and associated infrastructure.

 

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15Project Infrastructure

 

15.1General Layout

 

Refer to the conceptual mine layout presented in Figure 16-8.

 

15.2Road Access

 

Two options for road access routing exist.

 

Option 1 is to upgrade the existing gravel roads that come from Highway 55 near Horseshoe Bend via Placerville and Centreville. These roads are currently serviceable paved and gravel roads suitable for light-duty travel. An upgrade is required if concentrate haulage is to be undertaken. An extension to this route would have to be constructed to access the proposed plant site (Figure 16-8). The extension to the road would have to rise in elevation from RL 4,900 ft to RL 6,100 ft. At a maximum grade of 10%, this road is estimated to be approximately four miles long. No specific route has been identified, although the terrain through which the road would travel is rugged, and switchbacks are likely to be required in areas.

 

A subset of this option is to use the existing road from Idaho city to Centreville, but this does not appear to offer any significant benefits over the base assumption.

 

Option 2 is to travel via Highway 55 and the Bank-Lowman road that is to the north of the project site. An existing bridge approximately 1.4 miles southeast of Garden Valley would be used to cross the Payette River and gain access to the South Fork Road. This road then follows the river to the east for approximately 6 miles. It is relatively level, generally sloping up to the east at 2% to 3%, following the river valley. Upgrades to this road are likely to be straightforward and relatively low cost. From there, the existing Grimes Pass Road leads south from the South Fork road (~ four miles) to a location near the plant site. This road has consistent, but reasonably steep gradients of approximately 10%. Whilst not ideal, the gradients are potentially manageable for mine traffic including concentrate trucking with upgrades such as safety berms and run-away ramps. A similar extension of new road of four miles would have to be constructed as per Option 1. This route has the advantage over Option 1 of requiring much shorter haulage on non-sealed roads. A significant disadvantage of this route is that the haulage on sealed roads would both be visible to, and potentially affect recreational traffic on these roads.

 

Regarding Option 2, socio-political opposition to industrial use of these roads is likely. Until this can be further studied, this option is not preferred, leaving Option 1 as the access for the purpose of this PEA.

 

15.3Rail Access

 

A rail line connecting to ports in Oregon runs north-south in the valley along-side Highway 55. Sidings are available at various locations.

 

The most suitable location for a concentrate loading facility for Option 1 is likely to be in or around the town of Horseshoe Bend. However, Horseshoe Bend is a residential town and community opposition may limit options with respect to the existing small rail yard in the town center, necessitating construction of a new siding and facility.

 

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In the case of road access Option 2, building a loading concentrate loading facility near the junction of Highway 55 and Bank-Lowman road may be possible. An existing siding may be available for use. It is understood from discussions with CuMoCo that this area is heavily used for tourist activities including rafting.

 

For a single project using a concentrate loading facility, bulk concentrate handling may not be optimal. The use of “Rotainers” (sealed containers specifically designed for transport of concentrate) for truck, storage and rail transport may be an effective solution, particularly in terms of managing environmental effects. The author recommends that this option be included as an option in a PFS-level logistics study.

 

15.4Electrical Power

 

The overall availability of sufficient generating capacity is unlikely to be an issue as the project is proximate to significant power reticulation capacity. The project area is serviced by Idaho Power. No suitable power lines currently run near to the project, but Idaho Power have indicated an intention to install transmission lines to the vicinity of Placerville to the Southwest (ten miles), and to the vicinity of Garden Valley to the Northeast (nine miles). Consideration should be given to the provision of back-up power for critical systems. For example, back-up generation to allow the clearing of pipelines, flotation cells, thickeners and tailings management systems to prevent costly blockages and delays is generally able to be justified.

 

15.5Water Supply

 

Water is likely to be available (subject to licenses) from the Payette River two miles north of the project. The intervening terrain is rugged, and the pipeline route is likely to be significantly longer than the direct distance. An assumption of five miles of supply pipeline was made for the purposes of costing. The river can potentially supply water year-round, and accordingly a surge tank, rather than extensive water storage has been assumed at the project site. A water supply trade-off study is assumed to be undertaken as part of the PFS.

 

15.6Tailings Storage Facility

 

The tailings storage facility will be located at the headwaters of the Clear Creek watershed, in a natural basin formed by the surrounding ridgeline. The TSF will have capacity to store the 1,582 Mt (~900M m3) of tailings produced, over the 30-year mine life, with an ultimate crest height of 6,950 ft. A starter dam will be constructed to elevation 6,300 ft to facilitate early mine production, followed by an additional five raises spread out over the life of the mine.

 

Tailings will be piped to the TSF and deposited as conventional slurry from the dam crest. The settled tailings density is assumed to be 1.6 tonnes/m3 and beach slope angles are assumed to be 1-2% for sub-aerially deposited tailings. The water reclaim pond will form against the natural terrain upstream of the dam. The tailings have not tested positive for potential acid generation; however, there is potential for metal leaching.

 

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15.6.1Tailings Embankment

 

The embankment is designed as downstream construction for geotechnical stability, with the starter dam placed on bedrock. Slopes will be 2.5H:1V on the upstream and 3H:1V on the downstream. The crest of the embankment will be 170 ft wide to accommodate vehicles and equipment. Sort waste and run of mine waste constitute the construction material, transported by haul truck, and then compacted in three-foot lifts

 

A starter dam is designed to a crest height of 6,300 ft to facilitate the first two years of tailings. The foundation for the started dam will be cleared and overburden stripped to bedrock. The overburden will be stockpiled for use in future reclamation of the waste facilities. Five additional lifts will be constructed to an ultimate crest height of 6,950 ft. A freeboard of 25 ft will be maintained throughout the mine life.

 

A waste storage facility will buttress the downstream of the embankment up to 6,200 ft elevation providing additional geotechnical stability.

 

Figure 18-1 and Figure 18-2 show the TSF and WRF concepts.

 

 

Source: SRK, 2019

 

Note: Tailings site, which is located on federal land, is shown in Figure 16-7 relative to property boundary

 

Figure 15-1: CuMo Clear Creek TSF and WRF buttress

 

 

Source: SRK, 2019

 

Figure 15-2: Cross-section A-A’ through Clear Creek TSF and WRF buttress

 

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15.6.2Tailings Impoundment

 

The tailings impoundment will facilitate an ultimate capacity of 950M m3 (900M m3 required for LoM) of tailings assuming a density of 1.6 tonnes/m3. Construction of the impoundment area will include the removing of topsoil and vegetation and compacting the exposed fine-grained soils. Tailings will be discharged from the crest of the dam, limiting seepage through the dam. Due to the tailings deposition plan and overall configuration of the TSF it is not expected that a synthetic geomembrane will be required for containment of tailings.

 

16Market Studies and Contracts

 

16.1Market Analysis

 

For the purpose of this study, it has been assumed that two concentrates (copper and molybdenum) will be produced with the copper concentrate grading >23% copper sold and shipped to a smelter within the Pacific region, Japan, China, Korea or India for example. The molybdenum concentrate (grading >50% Mo) will be shipped to a roaster controlled by the project where additional credits may be achieved through the production of rhenium and sulfuric acid. Readers should note that no penalty elements have been identified to date. At the current time, no contracts exist for delivery of final product so the report assumes that products will be sold on the open market.

 

16.1.1Treatment and refining costs

 

Treatment and refining charges, metal payability and settlement terms are assumed based on recent published values from current contracts with Asian smelters for the copper concentrate (Freeport-McMoran, First Quantum), while the costs associated with molybdenum are based on published toll milling charges which are higher than for the project’s own roaster and therefore considered conservative. Details of these charges were previously reported in Table 16-3.

 

16.1.2Metal Prices

 

Prices used are based on historical averages and reasonable future price projections published. Copper and silver are openly traded on a daily basis on terminal markets. Molybdenum pricing requires additional research and analysis, as the often-quoted London Metal exchange pricing does not reflect current pricing accurately. Roskill’s and Platts show the trading price of molybdenum. The authors have identified that London Metals Exchange pricing can be many months out of date as metal buyers and sellers of molybdenum tend to avoid this relatively new market and associated fees.

 

CPM Group Molybdenum Market Outlook 2017 and 2018 shows the price of molybdenum is controlled by the largest producer which is China and their average cost to produce is between $12 and $13 per pound molybdenum. Their professional estimate of the price of molybdenum moving forward in the next five years is in the range of $12 to $20 per pound. The authors, for the purposes of this updated PEA, have assumed pricing of $15 per pound of molybdenum metal for project economics.

 

A significant proportion of world-wide molybdenum is produced as a byproduct of base-metals production. This can lead to a “disconnect” of supply and demand in the market, thus causing significant price volatility.

 

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17Environmental Studies, Permitting, and Social or Community Impact

 

17.1Environmental and Permitting

 

17.1.1Past and Present Permitting for Exploration Project

 

ICMC’s predecessors submitted an exploration plan of operations in 2007 to the USFS for exploration activities resulting in about 20 miles of drill road of which 4.7 miles were existing unauthorized drill roads from previous operators and 13.3 miles of new temporary roads. An environmental assessment was prepared by the USFS. ICMC was initially issued the Decision Notice /Finding of No Significant Impact (2011 DN/FONSI) by the USFS in February 2011. A lawsuit was filed against the project by the Idaho Conservation League in July 2011. On August 29, 2012, the United States District Court of the District of Idaho (Court) ordered, “that the Defendant Forest Service’s decisions regarding groundwater made in the 2011 Environmental Assessment [be] vacated and the matter …remanded to the Forest Service for further proceedings consistent with this opinion…” (USFS 2018). The USFS moved forward with the preparation of a Supplemental Environmental Assessment to undertake further analysis of groundwater and, as needed, address new information/changed circumstances since the 2011 DN/FONSI was issued (e.g., change in status of the wolverine from a regional sensitive species to an Endangered Species Act proposed listed species) (USFS 2018).

 

The supplemental DN/FONSI (SDN/FONSI) addressing the 2011 Court order and other changes summarized above was signed on September 30, 2015. Plaintiffs from the 2011 lawsuit again filed a lawsuit challenging the 2015 supplemental decision in January 2016. The lawsuit challenged the analysis of potential effects of exploration activities to groundwater and Sacajawea’s bitterroot, a sensitive plant species. The Court issued the memorandum decision and order in this lawsuit on July 11, 2016. The Court upheld the SDN/FONSI as to the NEPA challenges related to groundwater, so no further analysis was required. The Court found that the Forest Service’s analysis and conclusions concerning Sacajawea’s bitterroot to be arbitrary and capricious because it failed to re-examine the baseline Sacajawea’s bitterroot population6 in the project area following the 2014 Grimes Fire and subsequent 2016 Pioneer Fire (USFS 2018).

 

As occurred in response to the 2014 Grimes Fire, each resource area addressed in the 2015 CuMo Exploratory Project Supplemental Environmental Assessment were affected differently. Similar to the updates made in response to the 2014 Grimes Fire, updates were made in the 2018 Supplemental Redline Environmental Assessment CuMo Exploration Project (Supplemental Redline Environmental Assessment) to address the change in baseline conditions caused by the 2016 Pioneer Fire. The Supplemental Redline Environmental Assessment focused on the re-evaluation of the Sacajawea’s bitterroot baseline, as well as other resources addressed in the 2015 Supplemental Environmental Assessment that were affected by the 2016 Pioneer Fire, to determine whether effects conclusions reached in the 2015 SEA that supported the 2015 SDN/FONSI were different or changed. The Supplemental Redline Environmental Assessment focused only on these topics because the Court determined that other concerns raised during the 2012 and 2015 lawsuits were properly addressed and the evidence and analysis in the 2015 Supplemental Environmental Assessment and supporting project record supported the determination that no significant impacts would occur to other resources from proposed management activities (USFS 2018).

 

 

6The 2017 Sacajawea’s bitterroot survey was occurred within a ten-mile radius and located previously unknown populations totaling about 17,000 plants in six locations (USFS 2018).

 

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A number of environmental studies were undertaken for the 2011 Environmental Assessment CuMo Exploration Project and subsequently revised in 2015 and 2018. The Supplemental Redline Environmental Assessment incorporated habitat changes and resulting impacts related to the 2014 Grimes Fire and the 2016 Pioneer Fire. The following reports supported the preparation of the 2018 EA. Some of these updated reports and some earlier reports can be accessed on https://www.fs.usda.gov/project/?project=52875:

 

Stantec. Pollinator Habitat Assessment Report CuMo Exploration Project. February 2018

 

______, Pollinator Habitat Assessment Report CuMo Exploration Project. October 2018

 

______. Tetra Tech. Sacajawea’s Bitterroot and Other Sensitive Plant Survey Report. Prepared for Forsgren Associates Inc on Behalf of American CuMo Mining Corporation in support of the CuMo Exploration Project. July 2015

 

______. Sacajawea’s Bitterroot Baseline Survey Report. Prepared for Idaho CuMo Mining Corporation in support of the CuMo Exploration Project. July 2016

 

______. Sacajawea’s Bitterroot Baseline Survey Report. Prepared for Idaho CuMo Mining Corporation in support of the CuMo Exploration Project. September 2017

 

______. Sacajawea’s Bitterroot Known Occurrence Survey Report. Prepared for Boise National Forest in support of the CuMo Exploration Project. September 2017

 

USFS. Grimes Creek and Mohawk Gulch surface water sampling results, October 2017

 

______. CuMo Exploration Project 2015 Supplemental EA and Decision Notice/FONSI Supplemental Information Report. Prepared by the USDA FS, November 15, 2017

 

______. Geologic Hazards, Soils, and Water Resources Technical Report for the CuMo Project. February 2011, revised November 2018

 

______. Fisheries Survey Specialist Report for the CuMo Exploration Project. April 2011, revised November 2014 and September 2018

 

______. Wildlife Specialist Report and Biological Evaluation for Threatened, Endangered, and Sensitive Terrestrial and Avian Species for the CuMo Exploration Project. February 2011, revised February 2015 and September 2018

 

______. Wolverine Addendum to the Wildlife Specialist Report and Biological Evaluation for Threatened, Endangered, and Sensitive Terrestrial and Avian Species for the CuMo Exploration Project. August 2013, revised February 2015 and September 2018

 

U.S. Fish and Wildlife Service. CuMo Exploration Project, Updated list of threatened and endangered species, Consultation Code: 01EIFW00-2015-SLI-0236. January 28, 2015, updated March 21, 2018, and updated November 9, 2018.

 

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Vizgirdas, E.R. 016. CuMo Site Visit – 10/27/16: Pioneer Fire Effects in Lewisia acajaweana (LESA) Plant Conservation Area (PCA). Field notes prepared for and available through the Boise National Forest Supervisor’s Office.

 

The USFS is currently in process of preparing the final decision which is expected in early 2020.

 

In June of 2017, the Boise National Forest issued ICMC a Road Use Permit to perform road maintenance on National Forest Service roads 382C, 397, and 397B using best management practices. The road maintenance work was completed in June and July of 2017 (USFS 2018).

 

17.2Permitting for Mining Operations

 

Environmental permitting for mines in Idaho is predicated on land status. Because the mine will be located on public land administered by the U.S. Department of Agriculture – Forest Service, Boise National Forest, Idaho City Ranger District and patented claims (private land owned and controlled by ICMC), the permitting path will involve multiple state and federal agencies as shown in Table 20-1. A more complete list can only be prepared after the mining plan of operations is complete.

 

17.2.1Federal Authorizations and Permits

 

Exploration and mining on lands administered by a federal agency, in this case the USFS, requires authorization to conduct surface-disturbing activities. Mining for locatable minerals on lands administered by the USFS are guided by 36 Code of Federal Regulations Part 228. These regulations require that a mining plan of operations (Plan) be prepared for any operation likely to cause significant disturbance of surface resources. The Plan must provide a detailed description of construction, operations, closure, and reclamation of the proposed mining operation as well as a reclamation cost estimate. Detailed technical documents to support the Plan can include but not be limited to engineering designs for the open pits, processing plants, waste rock dumps, tailings storage facilities, access roads, power supplies, and water supplies.

 

The “complete” Plan has to provide sufficient detail in order to identify and disclose potential environmental impacts during the mandatory NEPA review process, under which the potential impacts associated with project development are analyzed. The most likely level of NEPA analysis for this project will be an EIS which is a public disclosure document, not a permit or approval document. An EIS is intended to disclose any environmental impacts that may occur from the project and guide the decisions of the public land managers. The USFS will most likely require that an EIS be prepared for the project due to:

 

Size of the operation

 

If the proposed project is expected to have significant impacts to a critical elements or resources

 

If a large potential for use of or impacts to surface water and/or groundwater exists

 

If non-governmental organizations or public opposition is expected to be significant

 

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Table 17-1: Major permits and authorizations that may be required1

 

Name Authorizing Agency
Federal Permits and Authorizations
Mining Plan of Operations USFS
EIS Review and Approval USFS, U.S. Environmental Protection Agency, and U.S. Army Corps of Engineers
Approved Mining Plan of Operations/Record of Decision USFS
Rights-of-Way for water/power/access corridors outside of Mining Plan of Operations boundary USFS and/or other federal and state agencies
Clean Water Act Section 404 Wetland Permit U.S. Army Corps of Engineers
Threatened and Endangered Species Consultation and Compliance with the Endangered Species Act U. S. Fish and Wildlife Service
Compliance with the Bald Eagle Protection Act U. S. Fish and Wildlife Service
Permit for Purchasing Explosives Department of Homeland Security
Mine Safety Mine Safety and Health Administration
Idaho State Permits and Authorizations
Stream Channel Alteration Permit Idaho Department of Water Resources
Water Right Appropriation
Dam Safety Permit
Reclamation Plan Approval Idaho Department of Lands
Title V Operating Permit Idaho Department of Environmental Quality – Air Quality Division
Approval of Plans for a New Sewage Treatment Facility

Idaho Department of Environmental Quality – Water Quality Division

 

Compliance with the Safe Drinking Water Act
Clean Water Act 401 Certification
Idaho Point Discharge Elimination Permit
Solid Waste Management Idaho Department of Environmental Quality – Waste Management & Remediation Division
Transportation and Storage of Hazardous Materials, Chemicals and Fuel Permits Idaho Department of Transportation
Consultation with State Historic Preservation Officer Idaho State Historic Preservation Office
Local
Building Permits Boise County
Road Maintenance Agreement
Conditional Use Permit

1 No permit applications in relation to mining have been filed to date.

 

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An EIS must consider possible impacts to the following critical elements and resources:

 

Critical elements – Air quality, aquatics, floodplains, cultural resources, environmental justice, migratory birds, Native American religious concerns, non-native invasive species, threatened and endangered species, solid and hazardous wastes, hydrology including geochemistry, wetlands, and wilderness.

 

Resources – Soils, geohazards, roadless areas, vegetation, forestry, geology/mineralogy, paleontology, hazardous materials, lands and access, livestock/grazing, recreation, scenic values and noise, socioeconomics, and transportation.

 

The USFS will require that baseline environmental surveys be conducted which will likely be above and beyond those conducted for the exploration activities. On-the-ground surveys will typically include: cultural resources; vegetation and animal biological resources including threatened, endangered, and sensitive species and migratory birds; soils resources; noxious and invasive species; jurisdictional waters; and hydrology, including geochemistry. These surveys, prepared in accordance with federal and state protocols, will identify the presence or absence of a particular resource and be used as the baseline to assess potential impacts. The same level of study will be required for any rights-of-way for new/improved access roads and water/power line corridors outside of the Plan boundary.

 

Other resources that will likely have to be addressed via desktop studies and stakeholder consultation include but are not limited to: Native American religious concerns, environmental justice, paleontology, livestock grazing, recreation, wilderness, and lands with wilderness characteristics.

 

The requirements of the Plan document are fairly well-defined. However, virtually all of the baseline data collection necessary for the impact assessment phase of the project will need to be collected, analyzed and interpreted in conjunction with the USFS in order to ensure that the information collected meet the data quality objectives of the program. A listing of the types of studies that should be undertaken during the mine planning phase and in advance of the NEPA process and in support of the acquisition of various other permits, could include:

 

Biological resources

 

Cultural resources of all areas proposed for disturbance unless the area has been surveyed within the past ten years

 

Hydrogeological assessment (may include impact modeling including potential for pit lakes)

 

Jurisdictional waters and wetlands

 

Geochemical characterization of mill feed, waste rock, spent mill feed)

 

Air quality/meteorological parameters

 

Traffic study

 

Environmental justice/socioeconomics

 

The length of time to prepare an EIS varies with the complexity of the project. The USFS is in the process of revising its NEPA procedures to reduce the time and cost of project analysis and decision making, increasing the scale of analysis, accomplishing more work on the ground, and creatively designing new ways to care for the land. The project proponent is also expected to enter into a cost recovery agreement with the USFS for the development of the EIS for specialist time as well as pay a third-party contractor to prepare the EIS.

 

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ICMC will have to provide adequate operational and baseline environmental information for the USFS to analyze potential environmental impacts as required by the NEPA and to determine if the mining plan of operations will prevent significant impacts to the environment. Insufficient baseline data will slow down the EIS process. The same types of baseline information and level of detail collected for the proposed mine will also have to be collected for the alternatives analyzed in the EIS. Baseline information will also have to be developed for rights-of-way for power and water line corridors, and access roads where applicable.

 

During the EIS process, applicant-committed environmental protection measures and mitigation measures will be identified for the various resources and become part of the mining plan of operations and record of decision. These measures will be used to monitor and mitigate potential impacts.

 

Other federal agencies, namely the U.S. Army Corps of Engineers, Environmental Protection Agency, and the U. S. Fish and Wildlife Service, may be involved in the EIS process as cooperating agencies; state agencies can also be cooperating agencies. The U.S. Army Corps of Engineers may require permitting under Section 404 of the Clean Water Act if jurisdictional waterways are affected by the mine development. The U.S. Fish and Wildlife Service will become involved if the mine has the potential to affect threatened and endangered species.

 

17.2.2Idaho State Authorizations and Permits

 

As shown in Table 20-1, a number of Idaho state authorizations and permits will also be required from at least five different Idaho state departments and divisions. Much of the information developed for the federal permitting process can be used to obtain the state permits. Idaho agencies typically process complete applications within the EIS process time frame.

 

17.2.3Boise County Permits

 

The Boise County Zone and Development Ordinance is applicable, and a Conditional Use Permit is required for mining activities on federal land located in Boise County.

 

17.3Monitoring

 

Environmental resources within the project area will be monitored prior to mine construction to develop baseline conditions, and during mining operations, reclamation, closure, and post-closure. Resources typically monitored include: climate and air quality; surface and ground water quality and quantity; geochemistry and management of ore, waste rock, and tailings; fisheries, wildlife, noxious weeds and invasive species; effectiveness of stormwater controls, and reclamation success.

 

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During the federal and state permitting processes, ICMC will develop specific monitoring plans that incorporate state and federal monitoring requirements. The monitoring plans must meet the following objectives:

 

Demonstrate compliance with the approved plan of operations and other federal or state environmental laws and regulations.

 

Provide early detection of potential problems, and to supply information that will assist in directing corrective actions should they become necessary.

 

Provide details on type and location of monitoring devices, sampling parameters and frequency, analytical methods, reporting procedures, and procedures to respond to adverse monitoring results.

 

The TSF will typically be monitored during construction, operation, closure, and post-closure to verify compliance with design specifications, operating conditions, water management, water quality, and reclamation success as required by Idaho regulations and USFS authorizations. Geochemical characterization of waste rock, ore, and tailings will also be undertaken prior to and during mining to guide dump and stockpile designs, stormwater controls, and monitoring. Post-closure monitoring of the waste rock dumps and TSF will be performed in compliance with federal and state permits.

 

Mine tailings impoundment structure designs in Idaho are regulated under IDAPA 37.03.05 by the Idaho Department of Water Resources. ICMC will have to post a bond to provide a means by which the TSF can be placed in a safe maintenance-free condition if abandoned by the owner without conforming to the approved abandonment.

 

17.4Reclamation

 

17.4.1Federal Reclamation Performance Bond

 

The USFS will require a reclamation performance bond under 36 Code of Federal Regulations 228A that calculates costs based on the assumption that the operator defaults, and the USFS must complete reclamation activities. Idaho has a memorandum of understanding which allows the state to recognize valid bonds held by the USFS as long as such bonds are in an amount as great as or greater than the required state bond. The USFS will accept the following bond instruments: negotiable Treasury bills and notes which are unconditionally guaranteed as to both principle and interest in an amount equal at their par value to the penal sum of the bond; or certified or cashier's check, bank draft, post office money order, cash, assigned certificate of deposit, assigned savings account, blanket bond, or an irrevocable letter of credit equal to the penal sum of the bond. The bond will have to be posted prior to surface disturbance occurring.

 

17.4.2State Reclamation Performance Bond

 

A reclamation plan and reclamation cost estimate will also have to be prepared for the project in accordance with Idaho Administrative Procedures Act 20.03.02. Prior to beginning any surface mining on a mine panel covered by a Plan, an operator must submit to the director, on a surface mining reclamation bond form, a performance bond meeting the requirements of this rule. The amount must be the amount necessary to pay the estimated reasonable costs of reclamation required under the reclamation plan for each acre of land to be affected during the first year of operation, plus ten percent. The actual cost of reclamation must not exceed $15,000 per acre of land to be affected. The reclamation bond may be in the following forms: corporate surety bond, collateral bond, or a letter of credit. The bond will have to be posted prior to surface disturbance occurring.

 

If ponds or lakes are created during the mining process and will remain after reclamation is completed, the Idaho Department of Water Resources requires the operator or landowner to obtain a water right. If a water right cannot be obtained prior to a plan being submitted, then the reclamation plan must include backfilling to an elevation above the local ground water table. Bond calculations must include those backfilling costs.

 

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17.5Social and Community Impact

 

ICMC has initiated consultation with various stakeholders namely: government officials at all levels and local communities in regard to the potential social and community impacts or improvements that may occur as the project progresses. All groups are provided regular updates as the project is proceeding (Hilscher et al, 2018).

 

The project is active in all local communities and for example has been in discussion and committed, subject to proceeding to mine development, to the restoration and reclamation work of the contaminated placer gold dredge tailing that currently are present in the Grimes Creek. Local communities and officials have come out in strong support of the project and are actively working with the project on both the Grimes Creek project and future planning (Hilscher et al, 2018). The contaminated dredge tailings are not located on the CuMo property that is the subject of this technical report. There are no negotiations or agreements with the local communities at this time.

 

Federal and state planning and permitting processes mandate that the public have an opportunity to provide input. ICMC, in coordination with federal and state agencies, will engage with the public during these mandated public scoping and comment periods. Furthermore, ICMC will have the opportunity to engage with stakeholders and local communities outside of the permitting processes in order to define potential infrastructure and community support needs. Until ICMC presents an actual mining plan of operations for community feedback, there is no additional reasonably available information to disclose.

 

Typically, small communities have competing social concerns when a mine is planned in the vicinity, i.e., the need for jobs versus changes to the fabric of the community resulting from an influx mining and contractor employees. Potential social issues that could arise from the CuMo project could generally include:

 

A shortage of temporary and permanent housing

 

Insufficient of capacity of schools, health care, law enforcement, solid waste disposal, and municipal infrastructure

 

Insufficient road network capacity leading to traffic slowdowns and degradation of road surfaces

 

Increases in crime, drug abuse, and alcoholism

 

The public will have multiple opportunities to provide comments during the federal and state scoping and comments periods. In the past, ICMC has engaged with the nearby communities concerning the exploration project. This practice is expected to continue during mine development which will allow ICMC and the communities to identify salient issues and work towards resolution.

 

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17.6Potential Issues

 

The 2011 Environmental Assessment, 2015 Supplement Environmental Assessment, and the 2018 Supplemental Redline Environmental Assessment identified resource values that occurred or had the potential to occur in the CuMo project area that may affect mine permitting by changing the habitat and/or affecting individuals. These resource values included:

 

The presence of Sacajawea’s bitterroot, a sensitive plant species. Just over two dozen populations of Sacajawea's bitterroot are known to exist, roughly three-fourths of them on the Boise National Forest (USFS 2019).

 

The potential for a number of rare plant habitat for other sensitive and watch plant species exists.

 

The Canada lynx (Lynx canadensis) is listed under the Endangered Species Act with potential habitat in the project area.

 

The wolverine (Gulo gulo) was proposed for listing as a threatened species under the Endangered Species Act in 2016 with potential habitat in the project area.

 

Other USFS sensitive species have potential habitat within the project area: boreal owl (Aegolius funereus), flammulated owl (Psiloscops flammeolus), great gray owl (Strix nebulosi), mountain quail (Oreortyx pictus), northern goshawk (Accipiter gentilis), white-headed woodpecker (Picoides albolarvatus), grey wolf (Canis lupus), bull trout (Salvelinus confluentus), and wolverine.

 

Fresh water supply from surface or ground water will likely be one of the most difficult hurdles to overcome. An estimated 30,000 gpm of fresh water could be required. All water in Idaho is owned by the public; holding a water right does not give the water user ownership of the water. A water right simply gives the user the right to divert water. All water rights in Idaho exist for beneficial uses. The project will be located in Basin 65 which includes the entire Boise River Drainage (IDWR, 2018).

 

At this time and based on the undertaken studies, no issues could be identified that would materially impact the ability to eventually extract mineral resources at the project; however, ICMC should be prepared to address potential issues associated with but not limited to:

 

Water including supply, water rights, and delivery system and potential impacts

 

Water management (stormwater, contact/non-contact water, water quality)

 

Geochemistry of ore, waste rock, tailings solids and solution, and post-mining pit lake

 

Management of ore stockpiles, waste rock dumps, and tailings during operations, closure, and post-closure

 

Threatened, endangered, and special status plant and animal species

 

Jurisdictional waters

 

Transportation and access

 

Reclamation and closure

 

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Any issues identified during the permitting process will have to be analyzed, disclosed, and potentially mitigated.

 

The mine would be located in an area used for weekend summer dispersed recreation and fall big-game hunting and is well-known in the Boise area. A majority of the previous public scoping comments to the environmental assessments were against mining activities (although the commenters were directed to address the proposed action, which was the exploration project). Organized environmental groups such as the Idaho Conservation League and Sierra Club are keeping their constituents informed citing issues of potential pollution of the Boise river which supplies drinking water to the city of Boise. As such, well-funded, organized opposition to mining activities should be anticipated.

 

However, under the 1872 Mining Law as amended, ICMC has the legal right to develop the mineral resources on their mining claims. The USFS has a requirement to manage ICMC’s activities in accordance with its mining regulations at 36 CFR 228A and must ensure compliance with the requirements of the National Environmental Policy Act (. As defined in law and regulations, the USFS is limited in that it may not deny ICMC’s mining plan of operations provided that the activities proposed are reasonably incident to mining, not needlessly destructive, and comply with applicable federal, state, and local laws and regulations. The USFS does not have the authority to impose unreasonable requirements that would have the effect of denying the statutory right to explore and develop the mineral resource, provided the mining plan of operations otherwise meets the intent of applicable laws and regulations (USFS 2018).

 

At this time, a detailed discussion on mine closure and reclamation cannot be completed. However, ICMC will be required to post reclamation bonds to cover direct and indirect costs related to site stabilization, water treatment as needed, post-reclamation and post-mining monitoring, and public safety.

 

17.7Mine Closure – General Discussion

 

There are comprehensive Idaho and USFS closure and reclamation requirements that the project proponent plan for closure and reclamation of mining disturbances on all affected land. Regulatory authorities will require that a surety or bond be posted sufficient to cover third-party costs to physically and chemically stabilize the site prior to the onset of mining. A reclamation cost estimate will have to be prepared that will be approved by state and federal agencies prior to any mining surface disturbance; the bond amount will have to be posted using an approved financial instrument. The financing costs associated with such a surety have not been modelled. The initial submissions will require a detailed discussion on how the mining disturbance will be physically and chemically stabilized and the duration of the closure process as reclamation and closure will be analyzed in the EIS.

 

The plans for final closure must address the long-term potential for surface and ground water contamination from the closed facility as well as stabilization of slopes, soils, and vegetation on mining disturbances. Typically, the closure permitting process involves a decommissioning plan or a permanent capping plan along with a post-closure monitoring commitment. Permit applicants should consider ways of closing a facility which will eliminate the possibility of future surface and ground water contamination and thereby eliminate the need for long-term water treatment and monitoring.

 

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After mining operations cease, all buildings, infrastructure, and facilities from the CuMo Mine that have not been identified for a specific post-mining use, must be removed from the site during the reclamation, salvage, and site demolition phase. These activities will generally include, but not be limited to the:

 

Regrading to a stable configuration, placement of growth media, and seeding of all disturbed surfaces without a postmining use

 

Removal of surface pipelines and power lines, and the secure and stable abandonment of underground pipelines (including removal if required)

 

Demolition of process facilities and salvage/removal of equipment and residual reagents for proper disposal

 

Managing the drain-down solution to reduce the volume which may include the construction and operation of an evapotranspiration cell. Depending on site conditions, a water treatment plant and discharge of treated water may be necessary to prevent unauthorized discharges of mine water not meeting water quality standards

 

Ongoing monitoring of closure compliance for surface and ground water quality, soil stabilization, and revegetation success

 

Maintaining public safety features such as warning signs, pit berms, and other barriers

 

To the extent practicable, reclamation and closure activities will be conducted concurrently with mining and disturbance to: reduce the overall final reclamation and closure costs, minimize environmental liabilities, and limit exposure to surety or bonding costs. At the current phase of the CuMo project, a site-specific closure cost estimate has not yet been developed. An approximate closure cost of $150M has been assumed for preliminary economic evaluation. This estimate is not based on site-specific considerations and should be considered order-of-magnitude only within the accuracy of a PEA level study.

 

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18Capital and Operating Costs

 

18.1Capital Cost Estimate

 

A summary of initial capital costs is provided in Table 21-1.

 

Table 18-1: Summary of initial capital costs

 

Capital Costs ($M)
Mine - Equipment, etc. 344
Capitalized Mine Operating Costs 330
Sort Plants 160
Mill 1,293
Roaster 208
Tailings 22
Infrastructure 76
Total Initial Capital Directs 2,433
   
Contingency on Initial Capital Directs (excl Mining) 176
   
Indirects  
Mine 15
Plant (incl. Sort) 354
Roaster 81
Infrastructure 14
Total Initial Capital Indirects 464
   
Sustaining Capital  
Mine 428
Sort Plants 42
Mill 349
Roaster 56
Tailings 84
Infrastructure 10
Total Sustaining Capital 970
   
Closure and Reclamation 150
   
Total Capital Costs 4,193
   
Initial Capex 3,071
Sustaining and Expansion Capex 972
Closure 150

 

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18.1.1Mining Capital Costs

 

The author developed the LOM schedule for the CuMo project, and based on this, derived equipment fleet requirements (Table 16-5). A breakdown of capital costs by equipment type of the primary mine equipment is provided in Table 21-2. These are presented here exclusive of contingency for clarity.

 

In addition to the primary mine equipment, ancillary equipment costs (light vehicles, maintenance vehicles, etc.) are factored at 5% of the primary equipment cost. This totaled $16.8M. Other capital costs for haul roads, earthworks, and technical equipment totaled $21.5M. Note all costs here are before contingency.

 

Table 18-2: Mine primary equipment capital costs

 

Equipment Type Units Initial Capital Cost
Rotary Blast Hole Drill $M 28.6
Electric Cable Shovel $M 97.7
Autonomous Trucks $M 114.4
Track Dozer $M 11.0
Rubber Tire Dozer $M 5.8
Grader $M 6.5
Water Truck $M 8.7
Backhoe $M 2.2
Total $M 274.9

 

The total initial mine equipment direct capital cost including the above costs and contingency is estimated at $345M as shown in Table 21-1.

 

Mine indirects were estimated at $15M.

 

The mining capitalized pre-production pre-stripping costs of $329M are incurred in the two years of mining activity prior to processing facility commissioning.

 

18.1.2Processing Capital Costs

 

A summary of the estimated capital cost for the processing and on-site ancillary facilities is provided in Table 21-3 and for the roaster in Table 21-4.

 

The CuMo circuit capital cost estimate for the process plant, roaster and related ancillary infrastructures was derived by factoring the mechanical equipment costs, which are defined in the concept study mechanical equipment list (Ausenco, 2009). Equipment costs were based on recent equipment quotations, or from previous projects. The cost estimates for all other disciplines were factored from the mechanical equipment list.

 

Indirect costs, including project contingency have been provided for in the capital cost estimates. Indirect costs have been estimated based on a factor of the total direct costs established from previous projects.

 

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Table 18-3: Summary of plant initial capital cost estimate

 

Category Units 150 ktpd
Direct Costs
Site Development $M                         29
Sorting Plant $M                        160
Concentrator $M                        1005
Concentrator Services $M                        50
Concentrator Infrastructure $M                        87
Molybdenum Plant $M                        62
Tailings Line $M                        21
Spares and First Fill $M                        38
Total Direct Costs $M                       1,453
Indirect Costs
Temporary Construction Facilities $M                      30
EPCM $M                       222
Pre-production Owner's Costs $M                       60
Project Fee $M                       42
Contingency $M                       139
Total Indirect Costs $M                       492
Total $M                       1,944

 

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Table 18-4: Summary of roaster initial capital cost estimate

 

Category Units 150 kt/d
Direct Costs
Site Works $M                         13
Concentrate Feed Handling $M                         21
Molybdenum Roaster $M                         75
Rhenium Recovery $M                         52
Acid Plant $M                         46
Gas Scrubbing $M                         -
Total Direct Costs $M                         208
Indirect Costs
Temporary Construction Facilities $M                          21
EPCM $M                         42
Pre-production Owner's Costs $M                         12
Project Fee $M                         6
Contingency $M                         21
Total Indirect Costs $M                        102
Total $M                        309

 

Assumptions

 

Geotechnical

 

A detailed geotechnical and drainage assessment of the proposed site is not yet available. For the purpose of the study, no allowance for special ground preparation has been made.

 

Base Date and Exchange Rates

 

The authors have reviewed, verified and confirmed all information is valid at the date of the report that cost estimate is current. The estimate and all costs are expressed in 2019 United States dollars. In the verification process, comparative quotes were solicited from appropriate vendors for updated equipment costs from the initial 2009 estimate produced by Ausenco. These were adjusted by exchange factors of 1.25 CAD to 1 USD or 1.10 CAD to 1 Euro when necessary.

 

Electricity Supply

 

It is assumed that power is available to satisfy demand requirements for the proposed plant. Costs associated with power distribution to the site have been included within this estimate as detailed below. All other costs of power supply, including reticulation to the assumed take-off point on Highway 21, all land access, and licensing and permitting are excluded. It should be noted Idaho Power is currently in the final stages permitting a brand new power line extension from Horseshoe Bend to Garden Valley. This power line comes within 10 miles of the property and should reduce the costs associated with power.

 

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High and medium voltage switch gear and distribution within the battery limits have been included in the estimate. Individual drive switchgear and cabling have been included as part of the area factors.

 

Water Supply

 

A water supply capable of supplying the required demand of the processing plant is assumed to be available. For this reason, costs associated with any increase in water supply have not been included within this estimate. The costs associated with water (and air) reticulation within the scope have been estimated based on the area piping factors.

 

Contingency

 

The estimate currently includes an amount of 10% of the total cost of the fixed plant as an estimate recommended for contingency.

 

Owner’s Costs

 

Owner’s costs have been excluded from this estimate.

 

Project Fee

 

A project fee of 3% of the direct costs has been included.

 

Escalation

 

Escalation provision for currency inflation past Q1 2020 has not been included in the estimate.

 

18.1.3Tailings Storage Facilities Capital Costs

 

The capital cost estimate for the TSF makes provision for constructing the initial starter dam of the TSF to an elevation of 6,300 ft, which is sufficient to store the first two years of tailings production. The tailings dam would be constructed using run of mine waste and sort waste and compacted in one-meter lifts. As the waste is already being delivered to the footprint for disposal, the only cost included for placement in the estimate is to cover the incremental compaction costs. No allowance was provided for spreading the material as it is assumed that the dozers already on the waste disposal area will handle that activity. The cost estimates are for an unlined TSF and it is estimated that lining the TSF would cost an additional 20 to 30 percent of the unlined construction cost.

 

An allowance has also been made for excavating the overburden encountered beneath the starter dam footprint to ensure a good foundation for the dam. The presence of unsuitable foundation soils and the soils areal extent and depth will be evaluated in future studies by geotechnical site investigations. The cost estimates will be adjusted based on the results of the investigations. This material would be stockpiled for use in reclamation activities later on in the mine life. Costs were also estimated for the general foundation clearing within the footprint of the tailings impoundment in advance of waste placement.

 

The storage capacity of the TSF will be increased through five additional raises of the dam in years 2, 5, 10, 15 and 20 to an ultimate elevation of 6,950 ft. Sustaining capital has been estimated for each of these raises to accommodate compaction of the waste rock in the compacted dam zone as foundation preparation in years 2 and 5 when the footprint is undergoing expansion to the south.

 

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18.1.4Capital Cost Estimate Exclusions

 

No specific allowance or estimate was made for items such as foreign currency fluctuations, escalation, etc., which will be reviewed in greater detail in the pre-feasibility study and subsequent feasibility study. The following items are excluded from this study:

 

Power generation (power is assumed to be purchased)

 

Project acquisition costs

 

Pre-feasibility study costs

 

Feasibility study costs

 

Legal fees

 

Corporate costs

 

Exploration, geotechnical and sterilization costs

 

Water compensation

 

Bore field or raw water dam

 

Construction camp

 

Plant or infrastructure outside of the battery limits

 

All Owner payable taxes, government and other charges (operating cost not capital)

 

License and royalty fees

 

No allowances are made for special incentives (schedule, safety or others)

 

Sustaining or deferred capital costs (operating cost not capital)

 

Cost changes due to currency fluctuation

 

Force Majeure issues

 

Owners cost prior to project approval

 

Sunk cost

 

Future scope changes

 

Project interest / financing costs

 

Project insurances

 

Permits / cost of permits

 

Mine / plant closure and rehabilitation costs (included in financial model)

 

Training of operations personnel

 

Working capital

 

Land acquisition

 

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Environmental consultants, studies, permitting and mitigation

 

Any operational insurance such as business interruption insurance & machinery breakdown, etc

 

Costs for community relations and services

 

Any bridges or tunnels, permanent or temporary

 

Maintenance of all roads and bridges and facilities mentioned above

 

Additional test-work

 

Provision of hardstand for the construction site area

 

Rubbish disposal

 

Dust suppression

 

Excavation of rock

 

Site drainage

 

18.2Operating Cost Estimate

 

The total LOM operating costs for the CuMo project are summarized in Table 21-5.

 

Table 18-5: Summary of LOM operating costs

 

Operating Costs

LOM

($M)

Unit Rates

($/t)

Unit Rates

($/lb Mo.Eq.)

Mining 5,797 $3.66 $2.99
Bulk Sort 778 $0.49 $0.40
Middling Sort 192 $0.12 $0.10
Processing 7,042 $4.45 $3.63
Sort Waste Delivery 395 $0.25 $0.20
G&A 805 $0.51 $0.42
Less Capitalized Operating Costs -329 -$0.21 -$0.17
Total Operating Costs 14,680 $9.28 $7.57

 

The estimate was prepared with a base date of July 2019 to an accuracy level of ±40%. Various parties contributed to the estimates as detailed below. These estimates exclude sustaining capital expenditure requirements but include realization costs associated with sale of final products.

 

18.2.1Mine Operating Costs

 

The author estimated the mine operating costs based on comparison to similar projects. Site-specific haulage profiles were considered to ensure that short haul options into Charlotte Gulch in early years are reflected as well as the longer hauls to Clear Creek for TSF construction and WRF disposal.

 

The non-haulage operating costs are estimated at approximately $0.70/t. Adding haulage gives an average mine operating cost of $1.28/t, ranging from $0.91 to $1.87/t of material moved. Mine operating costs per ton of material processed is $3.66. The total LOM operating cost is estimated at $5,797M. Note that $329M of these mine operating costs in the pre-production period were capitalized.

 

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18.2.2Sort Plant Operating Costs

 

For the bulk sorting system, a unit cost of $0.10/t was assumed for each stage of sorting. To this is added $0.20/t for primary crushing, giving a LOM total operating cost of $778.1M.

 

For the particle sorting system, a unit cost of $0.30/t of material fed was assumed, giving a LOM operating cost of $192.1M.

 

18.2.3Mill Operating Costs

 

The total process operating costs have been developed on an annual basis throughout the life of the mine. Cost estimates were generated the selected throughput/mill feed scenario based on the metallurgical samples tested by SGS Canada Inc. These have been combined, using the CuMo mine plan to produce LOM and annual operating estimates. A summary of the average operating costs per ton of mill feed treated for the project is outlined in Table 21-6. The costs have been divided into the key cost centers.

 

Table 18-6: Estimated plant average operating costs

 

Category Units 150 kt/d
Labor $/ton 0.19
Power $/ton 1.84
Maintenance Materials and Services $/ton 0.68
Reagents and Consumables $/ton 1.74
Total $/ton 4.45

 

a)Labor

 

Site labor costs from the overall workforce schedule of personnel numbers, positions, salaries and overhead costs based on projects of similar size and location. Total employee costs have been developed by applying on-cost factors to base salaries. The on-costs include the cost of travel, overtime and shift premiums, leave pay, bonuses, pension and superannuation benefits, insurance coverage, educational assistance and supply of uniforms and personal protective equipment.

 

b)Power

 

Power is to be supplied to the mine site from the local power grid, provided by Idaho Power. Unit power cost rates have been supplied by CuMoCo at $0.063/kWh, based on information from the Thompson Creek Mine (Thompson Creek Mine Model, MineCost (2009)). This has been confirmed by the authors with large scale commercial rates (2018) in Idaho being as low as $0.055/kWh. Thus using $0.063/kWh can be considered reasonable.

 

c)Maintenance Consumables and Services

 

Maintenance consumable costs were estimated as a percentage of the direct installed capital cost (percent factor). The factor is based on actual data from similar projects and takes into consideration an assumed bond abrasion index of 0.25.

 

d)Reagents and Consumables

 

Reagent consumptions have been estimated from metallurgical test-work or comparable operations. Although reagent consumptions will vary according to metallurgical and production parameters, the average predicted consumptions, by material type, have been used for this exercise.

 

Budget quoted costs have been used for major plant reagents. Unit costs include an allowance for delivery to site but do not include duties, brokerage, handling charges or applicable taxes.

 

18.2.4General Site and Administrative Costs

 

The author has assumed a general site and administrative (G&A) cost of $0.50/t mill feed based on comparison to similar size operations. At the modelled throughputs, this amounts to approximately $27.5M per year at full production.

 

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19Economic Analysis

 

19.1Cautionary Statements

 

19.1.1Certainty of Preliminary Economic Assessment

 

The preliminary economic assessment is preliminary in nature, that it includes inferred mineral resources that are considered too speculative geologically to have the economic considerations applied to them that would enable them to be categorized as mineral reserves, and there is no certainty that the preliminary economic assessment will be realized.

 

19.1.2Mineral Resources are Not Reserves

 

Mineral resources are not mineral reserves and do not have demonstrated economic viability.

 

19.2General

 

Economic analysis was undertaken using a discounted cashflow model that was constructed in MS EXCEL®. The model used constant (real) 2019 United States dollars and modelled the project cashflows in annual periods.

 

The model assumes a 36-month physical construction period.

 

The model does not place the project within an estimated calendar timeline and is intended only as an indication of the economic potential of the project to assist in investment decisions. Between the date of this report and the commencement of construction, a period of time sufficient for the pre-feasibility and feasibility study work programs to be executed must be allowed.

 

Important Note: The economic model considered only cashflows from the beginning of actual construction forward. Schedule and expenditure for the pre-feasibility study, including technical and economic studies, engineering studies, cost estimating, resource delineation and infill drilling, pit slope geotechnical characterization, metallurgical sampling and test-work, associated exploration, strategic optimization, mine, plant and infrastructure design, permitting and other pre-construction activities were NOT modelled.

 

Attention is drawn to Section 26 where the work plan and costs for the pre-feasibility study period of the project are summarized.

 

Table 22-1 shows a summary of key project parameters and project economics. LOM project annual cash flow is shown graphically in Figure 22-1.

 

19.3Summary

 

The summary of CuMo project economics is provided in Table 22-1a and b. Due to the ore sorting and central location of the pit a large portion of the inferred component of the resource is located on the outer edges in the waste blocks. What inferred that is located within the mineable resource has been converted to waste.

 

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Table 19-1a: Summary of potential project economics with Inferred resources

 

Project Metric Units Value
Pre-Tax NPV @ 5% $M 2,470
Pre-Tax NPV @ 8% $M 800
Pre-Tax NPV @ 10% $M 113
Pre-Tax IRR % 10%
After-Tax NPV @ 5% $M 1,709
After-Tax NPV @ 8% $M 356
After-Tax NPV @ 10% $M -205
After-Tax IRR % 9%
Undiscounted After-Tax Cash Flow (LOM) (no capital) $M 11,092
Undiscounted After-Tax Cash Flow (LOM) (capital) $M 7,032
Payback Period from Start of Processing years 8.0
Initial Capital Expenditure $M 3,071
LOM Sustaining Capital Expenditure $M 972
Closure $M 150
LOM C-1 Cash Costs After By-product Credits $/lb Mo 4.67
Nominal Flotation Process Capacity stpd 150,000
Mine Life (years @ > 90% of full production) years 28
LOM Flotation Mill Feed kst 1,582,526
LOM Grades
   Molybdenite (MoS2) % 0.074%
   Molybdenum (elemental Mo) % 0.044%
   Copper % 0.105%
   Silver grams per tonne 3.00
LOM Waste Volume kst 2,425,101
LOM Strip Ratio (Waste:Sort Feed) ratio 1.11
Mass Pull to Mill from Sort Feed % 72%
LOM Strip Ratio (Waste:Mill Feed) ratio 1.53
First Five Years Average Annual Metal Production
Molybdenum klbs/yr 34,976
Copper klbs/yr 93,394
Silver kounces/yr 3,940
LOM Average Annual Metal Production
Molybdenum (Mo Metal) klbs/yr 43,072
Copper klbs/yr 84,229
Silver kounces/yr 3,575
LOM Average Mill Process Recovery
Molybdenum (Mo Metal) % contained metal 91.87%
Copper % contained metal 76.33%
Silver % contained metal 70.42%

 

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Table 19-2b: Summary of potential project economics without inferred resources

 

Project Metric Units Value
Pre-Tax NPV @ 5% $M 2,328
Pre-Tax NPV @ 8% $M 771
Pre-Tax NPV @ 10% $M 102
Pre-Tax IRR % 10%
After-Tax NPV @ 5% $M 1,674
After-Tax NPV @ 8% $M 356
After-Tax NPV @ 10% $M -225
After-Tax IRR % 9%
Undiscounted After-Tax Cash Flow (LOM) $M 6,575
Payback Period from Start of Processing years 8.0
Initial Capital Expenditure $M 3,071
LOM Sustaining Capital Expenditure $M 972
Closure $M 150
LOM C-1 Cash Costs After By-product Credits $/lb Mo 4.67
Nominal Flotation Process Capacity stpd 150,000
Mine Life (years @ > 90% of full production) years 28
LOM Flotation Mill Feed kst 1,582,526
LOM Grades
   Molybdenite (MoS2) % 0.076%
Molybdenum (elemental Mo) % 0.045%
   Copper % 0.108%
   Silver grams per tonne 3.10
LOM Waste Volume kst 2,55,706
LOM Strip Ratio (Waste:Sort Feed) ratio 1.11
Mass Pull to Mill from Sort Feed % 72%
LOM Strip Ratio (Waste:Mill Feed) ratio 1.53
First Five Years Average Annual Metal Production
Molybdenum (Mo) klbs/yr 37,640
Copper klbs/yr 90,756
Silver kounces/yr 3,731
LOM Average Annual Metal Production
Molybdenum (Mo) klbs/yr 34,980
Copper klbs/yr 84,233
Silver kounces/yr 3,375
LOM Average Mill Process Recovery
Molybdenum (Mo) % contained metal 91.87%
Copper % contained metal 76.33%
Silver % contained metal 70.42%

 

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The project as presented, and under the current assumptions, has the potential to be economic. The after-tax NPV is positive and has been tested across a range of sensitivities with respect to capital costs, operating costs and revenue (price).

 

Attention is drawn to the cautionary statements in Section 22.1 and the risks and opportunities discussed in Sections 25.2.7 and 25.3.6 respectively.

 

19.4Project Cashflows

 

Project cashflows are summarized in Table 22-2 & Table 22-3, and shown graphically in Figure 22-1. Cumulative cashflows at discount rates (non-escalated) of 0%, 5%, 8% and 10% are also shown.

 

 

Source: SRK, 2019

 

Figure 19-1: Project cashflow summary chart

  

19.5Production Schedule

 

The production schedule evaluated is summarized in Table 22-4. Metal production quantities and mine physicals are shown graphically in Figure 22-1.

 

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Table 19-3: LOM annual project cash flow

 

PREFINANCE SUMMARY CASH FLOW Units LOM Total Year -3 Year -2 Year -1 Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Year 11 Year 12 Year 13 Year 14
Payable Revenue                                      
Payable Revenue from Molybdenum $M 19,383 0 0 0 244 450 585 789 555 444 564 737 825 863 416 524 701 882
Payable Revenue from Copper $M 7,581 0 0 0 117 359 341 263 321 358 334 258 241 207 373 326 276 212
Payable Revenue from Silver $M 1,877 0 0 0 41 82 79 56 86 95 79 61 58 52 94 77 62 45
By-product Revenue $M 266 0 0 0 3 6 8 11 8 6 8 10 11 12 6 7 10 12
Total Revenue from Payable Metal $M 29,106 0 0 0 406 897 1,013 1,119 969 902 985 1,066 1,135 1,134 888 934 1,048 1,151
Moly Equivalent (MoEq) Payable Pounds mmlbs 1,908 0.0 0.0 0.0 26.6 58.8 66.4 73.4 63.6 59.2 64.6 69.9 74.4 74.3 58.2 61.3 68.7 75.5
Total TCRC Freight & Royalty $M 1,253 0 0 0 19 47 48 46 47 48 47 44 45 43 48 45 45 43
Total Minesite Revenue $M 27,853 0 0 0 387 851 965 1,073 923 855 938 1,021 1,090 1,091 841 889 1,004 1,108
                                       
OPERATING COSTS                                      
Mining $M 5,797 0 142 173 181 191 187 196 197 211 191 202 214 205 201 199 190 188
Bulk Sort $M 778 0 0 0 20 30 26 22 33 30 27 24 27 27 33 27 24 23
Middling Sort $M 192 0 0 0 8 9 6 3 11 9 6 5 7 7 11 7 5 4
Processing $M 7,042 0 0 0 122 244 244 244 244 244 244 244 244 244 244 244 244 244
Sort Waste Delivery $M 395 0 0 0 17 18 12 7 23 18 13 10 15 15 23 13 8 8
G&A $M 805 0 5 9 14 27 27 27 27 27 27 27 27 27 27 27 27 27
Less Capitalized Operating Costs   -329 0 -147 -182 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Total Operating Costs $M 14,680 0 0 0 362 520 503 500 535 539 509 513 533 524 538 516 498 494
                                       
Operating Cashflow $M 13,173 0 0 0 25 331 461 574 388 316 429 508 556 567 302 373 506 614
                                       
Summary Capex by Project Phase                                      
Construction Costs $M 3,071 882 1,038 1,151 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Sustaining Capital Costs $M 972 0 0 0 31 6 15 17 62 51 30 23 19 17 29 30 130 79
Closure Costs $M 150 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Grand Total Capex (Including Closure) $M 4,193 882 1,038 1,151 31 6 15 17 62 51 30 23 19 17 29 30 130 79
Working Capital $M -133 0 0 0 -9 44 12 12 -16 -7 11 11 9 1 -33 8 18 17
Pretax Cash Flow $M 9,113 -882 -1,038 -1,151 3 281 434 544 342 272 387 475 528 549 306 335 358 519
Total Tax $M 2,081 0 0 0 0 0 0 0 0 0 0 60 95 109 56 73 93 117
After-tax Net Cash Flow (Undiscounted) $M 7,032 -882 -1,038 -1,151 3 281 434 544 342 272 387 415 433 439 251 262 265 401
After-tax Net Cash Flow (at 5% DR) $M 1,709 -861 -965 -1,019 2 226 332 396 237 180 244 249 247 239 130 129 124 179
After-tax Net Cash Flow (at 8% DR) $M 356 -848 -925 -950 2 199 284 330 192 142 186 185 179 168 89 86 80 113
After-tax Net Cash Flow (at 10% DR) $M -205 -841 -900 -907 2 183 257 293 167 121 157 153 145 134 69 66 60 83

 

Note: MoEq lbs = (Revenue from recovered, payable metal plus by-products before deduction of Royalty TCRC and freight)/(Price of Mo per lb)

 

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Table 19-4: LOM annual project cash flow – continued

 

PREFINANCE SUMMARY CASH FLOW Units LOM Total Year 15 Year 16 Year 17 Year 18 Year 19 Year 20 Year 21 Year 22 Year 23 Year 24 Year 25 Year 26 Year 27 Year 28 Year 29 Year 30 Closure
Payable Revenue                                      
Payable Revenue from Molybdenum $M 19,383 932 892 839 372 471 518 639 758 753 806 800 573 679 756 784 233  
Payable Revenue from Copper $M 7,581 157 156 181 369 345 328 297 249 212 201 180 258 250 192 163 57  
Payable Revenue from Silver $M 1,877 36 39 50 100 98 86 73 61 49 45 46 65 60 48 40 12  
By-product Revenue $M 266 13 12 12 5 6 7 9 10 10 11 11 8 9 10 11 3  
Total Revenue from Payable Metal $M 29,106 1,139 1,100 1,082 846 920 939 1,017 1,078 1,024 1,063 1,037 904 998 1,006 998 305  
Moly Equivalent (MoEq) Payable Pounds mmlbs 1,908 74.7 72.1 70.9 55.5 60.3 61.5 66.7 70.7 67.2 69.7 68.0 59.3 65.4 66.0 65.5 20.0  
Total TCRC Freight & Royalty $M 1,253 39 39 40 47 48 46 46 44 40 40 39 41 42 39 36 11  
Total Minesite Revenue $M 27,853 1,099 1,061 1,041 799 872 892 971 1,034 984 1,023 998 863 956 967 962 294  
                                       
OPERATING COSTS                                      
Mining $M 5,797 186 198 197 208 219 206 196 188 183 179 175 183 119 116 125 50  
Bulk Sort $M 778 24 26 28 35 31 28 24 22 23 24 24 32 26 24 24 9  
Middling Sort $M 192 5 6 8 13 10 7 5 3 4 5 4 10 6 5 4 2  
Processing $M 7,042 244 244 244 244 244 244 244 244 244 244 244 244 244 244 244 94  
Sort Waste Delivery $M 395 10 13 17 26 19 14 9 6 8 9 9 20 11 9 8 3  
G&A $M 805 27 27 27 27 27 27 27 27 27 27 27 27 27 27 27 11  
Less Capitalized Operating Costs   -329 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
Total Operating Costs $M 14,680 497 514 521 553 552 526 504 491 490 488 484 516 435 425 432 168  
                                       
Operating Cashflow $M 13,173 602 547 520 246 320 367 467 543 494 535 515 348 521 542 530 126  
                                       
Summary Capex by Project Phase                                      
Construction Costs $M 3,071 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0  
Sustaining Capital Costs $M 972 25 70 32 23 17 48 48 35 17 17 17 17 17 17 17 17  
Closure Costs $M 150 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 150
Grand Total Capex (Including Closure) $M 4,193 25 70 32 23 17 48 48 35 17 17 17 17 17 17 17 17 150
Working Capital $M -133 0 -5 -2 -42 13 6 17 15 -9 10 -4 -31 30 5 0 -151 -64
Pretax Cash Flow $M 9,113 577 483 491 265 290 312 401 494 486 508 501 361 475 520 513 260 -86
Total Tax $M 2,081 121 107 104 47 65 73 93 111 103 113 109 73 111 115 111 22 0
After-tax Net Cash Flow (Undiscounted) $M 7,032 456 376 386 218 225 240 308 383 383 395 392 289 364 404 402 238 -86
After-tax Net Cash Flow (at 5% DR) $M 1,709 194 152 149 80 79 80 98 116 110 108 103 72 86 91 86 49 -15
After-tax Net Cash Flow (at 8% DR) $M 356 119 90 86 45 43 42 50 58 54 51 47 32 38 39 36 20 -6
After-tax Net Cash Flow (at 10% DR) $M -205 86 64 60 31 29 28 33 37 34 32 29 19 22 22 20 11 -3

 

Notes: MoEq lbs = (Revenue from recovered, payable metal plus by-products before deduction of Royalty TCRC and freight)/(Price of Mo per lb)
Closure is costed over 3 years but summarized into a single year in this table for brevity

 

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Table 19-5: Production schedule summary

 

Item Units LOM Totals Year -2 Year -1 Year 1 Year 2 Year 3 Year 4 Year 5 Year 6 Year 7 Year 8 Year 9 Year 10 Year 11 Year 12 Year 13 Year 14
Mill Feed kst 1,582,526 0 0 27,375 54,750 54,900 54,750 54,750 54,750 54,900 54,750 54,750 54,750 54,900 54,750 54,750 54,750
MoS2 % 0.074% 0.000% 0.000% 0.058% 0.053% 0.063% 0.088% 0.060% 0.052% 0.062% 0.082% 0.087% 0.096% 0.047% 0.063% 0.076% 0.093%
Cu % 0.105% 0.000% 0.000% 0.093% 0.138% 0.128% 0.101% 0.133% 0.139% 0.131% 0.108% 0.106% 0.089% 0.150% 0.125% 0.109% 0.088%
Ag gpt (metric) 3.00 0.00 0.00 3.63 3.51 3.36 2.64 3.83 4.06 3.56 3.04 2.90 2.46 4.03 3.39 2.95 2.32
Waste kst 2,425,101 156,915 174,639 132,521 90,212 108,661 114,796 91,153 98,714 84,230 93,481 102,999 89,800 71,062 82,589 78,547 74,561
Strip Ratio (waste:sort feed) ratio 1.11 0.00 30.20 2.73 1.09 1.49 1.73 1.00 1.19 1.13 1.32 1.33 1.16 0.79 1.11 1.16 1.12
Head Grade (% MoS2 Eq. recoverable) % 0.123% 0.000% 0.000% 0.099% 0.109% 0.123% 0.136% 0.118% 0.110% 0.120% 0.130% 0.138% 0.138% 0.108% 0.114% 0.128% 0.140%
Recovered Mo kst 646 0 0 8 15 19 26 19 15 19 25 27 29 14 17 23 29
Recovered Cu kst 1,263 0 0 20 60 57 44 53 60 56 43 40 34 62 54 46 35
Recovered Ag koz 107,239 0 0 2,367 4,710 4,535 3,190 4,898 5,400 4,529 3,485 3,340 2,982 5,379 4,378 3,545 2,581
MoEq lbs mmlbs 1,908.2 0.0 0.0 26.6 58.8 66.4 73.4 63.6 59.2 64.6 69.9 74.4 74.3 58.2 61.3 68.7 75.5
                                     
                                     
Item Units LOM Totals Year 15 Year 16 Year 17 Year 18 Year 19 Year 20 Year 21 Year 22 Year 23 Year 24 Year 25 Year 26 Year 27 Year 28 Year 29 Year 30
Mill Feed kst 1,582,526 54,900 54,750 54,750 54,750 54,900 54,750 54,750 54,750 54,900 54,750 54,750 54,750 54,900 54,750 54,750 21,101
MoS2 % 0.074% 0.101% 0.098% 0.093% 0.042% 0.050% 0.058% 0.071% 0.083% 0.086% 0.086% 0.090% 0.064% 0.074% 0.083% 0.086% 0.065%
Cu % 0.105% 0.069% 0.068% 0.080% 0.152% 0.139% 0.127% 0.110% 0.096% 0.080% 0.076% 0.076% 0.102% 0.094% 0.076% 0.067% 0.059%
Ag gpt (metric) 3.00 1.93 2.00 2.38 4.32 4.24 3.78 3.34 2.85 2.34 2.27 2.40 3.00 2.79 2.32 2.11 1.64
Waste kst 2,425,101 65,818 75,310 62,410 62,934 97,313 79,768 73,603 65,620 55,778 47,465 41,473 36,454 6,318 3,744 4,553 1,662
Strip Ratio (waste:sort feed) ratio 1.11 0.93 1.00 0.77 0.66 1.15 1.05 1.08 1.02 0.83 0.68 0.60 0.42 0.09 0.05 0.07 0.07
Head Grade (% MoS2 Eq. recoverable) % 0.123% 0.138% 0.134% 0.132% 0.103% 0.112% 0.114% 0.124% 0.131% 0.124% 0.129% 0.126% 0.110% 0.121% 0.122% 0.122% 0.096%
Recovered Mo kst 646 31 30 28 12 16 17 21 25 25 27 27 19 23 25 26 8
Recovered Cu kst 1,263 26 26 30 62 57 55 49 41 35 34 30 43 42 32 27 9
Recovered Ag koz 107,239 2,074 2,247 2,872 5,698 5,587 4,889 4,166 3,482 2,818 2,560 2,608 3,728 3,416 2,761 2,303 712
MoEq lbs mmlbs 1,908.2 74.7 72.1 70.9 55.5 60.3 61.5 66.7 70.7 67.2 69.7 68.0 59.3 65.4 66.0 65.5 20.0

 

Notes:By-product production of rhenium and sulfuric acid is not shown here, but is included in economic analysis
MoEq lbs = (Revenue from recovered, payable metal plus by-products before deduction of Royalty TCRC and freight)/(Price of Mo per lb)

 

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Source: SRK, 2019

 

Figure 19-2: Metal production schedule graph

 

Note that by-products rhenium and sulfuric acid are included in revenue calculations but physicals are not reported in this graph-set.

 

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19.6Pricing Assumptions

 

Flat non-escalated prices were assumed for the life of the project. Table 22-5 shows the price assumptions used.

 

Table 19-6: Pricing assumptions for economic analysis

 

Commodity Units Price
Molybdenum metal $/lb $15.00
Copper $/lb $3.00
Silver $/oz $17.50
Rhenium $/lb $1,750.00
Sulfuric Acid $/t $50.00

 

19.7Processing Recovery Assumptions

 

The estimated processing recoveries were applied to the grades of material delivered to the mill from the different mineralized zones (per Table 14-13). Note that the material has already been upgraded by mineral sorting and particle recovery at this stage and these numbers reflect only recovery of upgraded material.

 

Table 19-7: Processing recovery assumptions used for economic analysis

 

Molybdenum

Recovery

Copper

Recovery

Silver

Recovery

Rhenium

Recovery

Sulfuric Acid

Recovery

91.6% 76.1% 70.7% 90% 95%

 

Note: Rhenium and sulfuric acid recoveries are based on existing plant operation data at Molymet in Chile and Mexico, Jiangxi Copper in China and Sino Platinum Metals in China – all with actual recoveries higher than those used in the report.

 

19.8Capital Costs

 

Capital costs used for the evaluation are summarized in Table 22-7. Additional detail regarding the estimation of the capital costs is contained in Section 21. Note that the capital costs presented do not include any costs prior to construction commencement. Please refer to Section 26 for an estimate of the pre-feasibility study work program and costs.

 

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Table 19-8: Capital cost summary

 

Capital Costs ($M)
Mine – Equipment, etc. 344
Capitalized Mine Operating Costs 330
Sort Plants 160
Mill 1,293
Roaster 208
Tailings 22
Infrastructure 76
Total Initial Capital Directs 2,433
   
Contingency on Initial Capital Directs (excl Mining) 176
   
Indirects  
Mine 15
Plant (incl. Sort) 354
Roaster 81
Infrastructure 14
Total Initial Capital Indirects 464
   
Sustaining Capital  
Mine 428
Sort Plants 42
Mill 349
Roaster 56
Tailings 84
Infrastructure 10
Total Sustaining Capital 970
   
Closure and Reclamation 150
   
Total Capital Costs 4,193
   
Initial Capex 3,071
Sustaining and Expansion Capex 972
Closure 150

 

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19.9Operating Costs

 

Operating costs (Opex) are summarized in Table 22-8. The capitalized Opex is pre-stripping, which has been re-allocated and included in the mining capital costs shown in Table 22-8. The unit costs are expressed as total operating costs (before re-allocation) divided by total tonnage.

 

Table 19-9: Operating costs summary

 

Operating Costs LOM ($M) Unit Rates ($/t) Unit Rates
($/lb Mo.Eq.)
Mining 5,797 $3.66 $2.99
Bulk Sort 778 $0.49 $0.40
Middling Sort 192 $0.12 $0.10
Processing 7,042 $4.45 $3.63
Sort Waste Delivery 395 $0.25 $0.20
G&A 805 $0.51 $0.42
Less Capitalized Operating Costs -329 -$0.21 -$0.17
Total Operating Costs 14,680 $9.28 $7.57

 

       Note:MoEq lbs = (Revenue from recovered, payable metal plus by-products before deduction of Royalty TCRC and freight)/(Price of Mo per lb)

The operating cost net of by-product credits (i.e. net revenue from by-products deducted from total opex) is estimated at $4.67 per pound of molybdenum produced, based on the price assumptions for by-products shown in Table 22-5.

 

19.10Royalties

 

No royalties were applied to project for economic analysis.

 

19.11Taxation

 

Corporate taxation in the United States is extremely complex. For this study, the taxation was modeled in a highly simplified manner, as is appropriate for a PEA level of study. Depreciation was also modeled in a simplified fashion, suitable for a PEA evaluation. The project valuation is relatively insensitive to variations in depreciation treatment. A total tax rate of approximately 22% was modeled.

 

19.12Off-Site Costs

 

Off-site costs (concentrate freight, port handling, treatment charges and refining charges) were deducted from payable revenue. The basis for the charges is summarized in Section 19.

 

19.13Sensitivity Analysis

 

The project as currently characterized returns a positive NPV at an 8% discount rate. This indicated the potential of the deposit to support an economic project (note cautionary statements in Section 22.1).

 

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Table 22-9 to Table 22-12 summarize the sensitivity of the project NPV ($B at 8% discount rate) to variations in key input assumptions across a change of +/-20%.

 

Mineral resources are not reserves and do not have demonstrated economic viability.

 

Table 19-10: Two-factor sensitivity (NPV(8%) in $M) – Capex and Opex

 

Post Tax NPV Opex            
-30% -20% -10% 0% 10% 20% 30%
Capital -30% $2,646.6 $2,287.5 $1,926.6 $1,565.2 $1,204.5 $844.3 $478.2
-15% $2,254.1 $1,892.8 $1,531.4 $1,169.2 $804.0 $436.8 $67.5
0% $1,858.9 $1,497.1 $1,132.7 $764.6 $395.4 $25.4 ($346.7)
15% $1,461.1 $1,095.1 $726.1 $355.8 ($16.7) ($389.1) ($764.6)
30% $1,057.6 $687.7 $316.9 ($56.5) ($431.4) ($806.4) ($1,187.8)
45% $649.2 $278.0 ($95.4) ($471.4) ($848.6) ($1,228.1) ($1,615.8)
60% $239.1 ($134.3) ($510.3) ($888.2) ($1,269.0) ($1,654.8) ($2,045.8)

 

Table 19-11: Two-factor sensitivity (NPV(8%) in $M) – Capex and metal prices

 

Post Tax NPV Price (all metals)        
-30% -20% -10% 0% 10% 20% 30%
Capital -30% ($506.3) $195.9 $885.6 $1,565.2 $2,245.7 $2,923.3 $3,601.5
-15% ($933.7) ($217.5) $479.0 $1,169.2 $1,850.5 $2,531.8 $3,211.5
0% ($1,365.2) ($634.8) $68.1 $764.6 $1,454.6 $2,136.6 $2,818.7
15% ($1,803.9) ($1,058.4) ($346.1) $355.8 $1,051.9 $1,740.7 $2,423.5
30% ($2,247.3) ($1,486.9) ($763.2) ($56.5) $643.6 $1,338.9 $2,027.7
45% ($2,693.1) ($1,917.8) ($1,184.3) ($471.4) $233.3 $932.1 $1,626.7
60% ($3,141.5) ($2,352.4) ($1,610.5) ($888.2) ($179.1) $523.5 $1,221.4
                         

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Table 19-12: Two-factor sensitivity (NPV(8%) in $M) – Opex and metal prices

 

Post Tax NPV Price (all metals)         
-30% -20% -10% 0% 10% 20% 30%
Opex -30% ($630.4) $74.4 $771.0 $1,461.1 $2,144.2 $2,825.4 $3,507.6
-20% ($1,012.4) ($300.4) $401.0 $1,095.1 $1,782.5 $2,464.1 $3,146.2
-10% ($1,402.0) ($676.9) $27.9 $726.1 $1,418.5 $2,102.7 $2,784.9
0% ($1,803.9) ($1,058.4) ($346.1) $355.8 $1,051.9 $1,740.7 $2,423.5
10% ($2,223.5) ($1,448.8) ($721.0) ($16.7) $682.1 $1,376.5 $2,062.1
20% ($2,649.3) ($1,851.4) ($1,103.6) ($389.1) $311.7 $1,009.0 $1,699.8
30% ($3,062.8) ($2,267.6) ($1,494.6) ($764.6) ($58.5) $639.2 $1,334.9
                         

Table 19-13: Sensitivity (NPV(8%) in $M) – Individual metal prices

 

Post Tax NPV Metal Prices
-30% -20% -10% 0% 10% 20% 30%
Molybdenum Price $10.50 $12.00 $13.50 $15.00 $16.50 $18.00 $19.50
Post-tax NPV ($M) -$1,008 -$548 -$96 $356 $804 $1,251 $1,694
Copper Price $2.10 $2.40 $2.70 $3.00 $3.30 $3.60 $3.90
Post-tax NPV ($M) -$228 -$33 $161 $356 $549 $741 $933
Silver Price $12.25 $14.00 $15.75 $17.50 $19.25 $21.00 $22.75
Post-tax NPV ($M) $220 $265 $311 $356 $401 $446 $490

 

Figure 22-4 shows how the project NPV varies as individual commodity prices are varied across a range of +/-30%. Molybdenum, being the main source of revenue, demonstrates greater sensitivity.

 

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Source: SRK, 2019

 

Figure 19-3: Metals price sensitivity – net present value

 

Figure 22-4 shows how the project NPV varies as price and operating costs are varied across a range of +/-30%. Capital costs are varied across a range of -20% to 40%. As is common to all minerals industry projects, commodity price is a highly significant driver of value.

 

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Source: SRK 2019

 

Figure 19-4: Single factor sensitivity – net present value

 

20Adjacent Properties

 

There are no adjacent properties applicable to the CuMo project for disclosure in this report

 

21Other Relevant Data and Information

 

There is no other relevant data available about the CuMo project.

 

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22Interpretations and Conclusions

 

22.1Conclusions

 

22.1.1Mineral Resource

 

The CuMo project hosts a measured mineral resource, at a $5.00/t RCV cut-off of 0.3 billion tons at grades of 0.081% MoS2, 0.076% Cu, 2.09 ppm Ag, and 0.030 ppm Re.

 

The CuMo project also hosts an indicated mineral resource, at a $5.00/t RCV cut-off of 1.97 billion tons at grades of 0.053% MoS2, 0.085% Cu, 2.57 ppm Ag, and 0.019 ppm Re.

 

There is a further inferred resource of 2.56 billion tons at grades of 0.048% MoS2, 0.067% Cu, 2.13 ppm Ag, 0.017 ppm Re.

 

It is noted that the convention for the CuMo project is to assay for elemental molybdenum to report %Mo, but then this is multiplied by 1.6681 to calculate %MoS2 in resource estimation and mine planning. Thus, the molybdenum grades for %MoS2 are 1.6681 times that for %Mo.

 

Mineral resources that are not mineral reserves do not have demonstrated economic viability.

 

22.1.2Mining

 

The CuMo project is to be developed as a large-scale open pit operation, leveraging economies of scale in large mining equipment and optimization of truck hauls to reduce operating costs. It should take full advantage of emerging autonomous machine operation to further improve costs. In this PEA, the author has assumed autonomous operation of both the truck and drill fleets.

 

The author conducted limited investigation into mass material movement out of the pit (such as Doppelmayr RailCon and Dos Santos sandwich-belt high-angle conveyors). While promising, trade-off studies and further evaluations are required for inclusion in the project development strategy.

 

22.1.3Bulk Sorting

 

The author investigated the application of bulk sorting to the CuMo project and found it an appropriate technology for the mineralization at CuMo. There is sufficient heterogeneity at sub-bench scale (i.e. at the 10 ft interval of exploration hole sampling) to warrant the consideration of bulk sorting.

 

Current bulk sorting requires consideration of batches of conveyed material, up to 30 seconds, for discretization. To improve sorting at smaller scales, a multi-stage bulk sorting plant has been conceptualized, which provides for three stages of splitting and sorting of the sort feed to achieve adequate segregation of waste, mill feed and middlings material.

 

22.1.4Particle Sorting

 

The author reviewed particle sorting analysis on 400 quarter-core samples across the different CuMo mineralized zones. This demonstrated heterogeneity which would make particle sorting attractive, but not at the scale envisioned for the CuMo project. However, with bulk sorting providing reduced volumes for particle sort feed (i.e. the middlings stream), particle sorting becomes more viable.

 

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22.1.5Project Economics

 

The project as currently characterized returns a positive NPV at an 8% discount rate. This indicated the potential of the deposit to support an economic project.

 

The PEA described herein is preliminary in nature and is partly based on inferred mineral resources that are considered too speculative geologically to have the economic considerations applied to them that would enable them to be categorized as mineral reserves, and there is no certainty that the preliminary assessment based on these mineral resources will be realized.

 

22.2Project Risks

 

22.2.1Mineral Resource

 

The mineral resource is supported by exploration results, test-work and modelling. As with any mineral resource estimate there is uncertainty inherent in the estimation process. There is a risk that the grades and metallurgical recoveries may be lower than currently modelled. There is also a risk that the interpretation of the results is inaccurate and that less mineralized material is present than is currently modelled.

 

Additional exploration and test-work will reduce this risk as the project is advanced.

 

22.2.2Mining

 

The mining concepts for CuMo are largely proven. The adoption of autonomous equipment does possess some risk in that federal and local regulators may require extensive efforts by proponents to ensure the safety of their operations.

 

The CuMo open pit is envisioned to be a large, deep pit (up to 3,500 ft deep). With this comes the potential geotechnical risk for wall failures. While the author has assumed a relatively flat overall wall angle for the PEA (37°), there may be risks associated with yet unknown rock mass or structural geology conditions that may require consideration of even flatter slopes in places.

 

22.2.3Mineral Sorting

 

The technology envisioned in this PEA for bulk sorting, PGNAA, has had limited application to molybdenum-copper deposits. While demonstrated for some low-grade copper-molybdenum deposits, testing is required to verify that molybdenum is measurable at the specific grades envisioned for CuMo.

 

Additional testing is required to obtain the final results expected from both bulk and particle sorting.

 

22.2.4Processing

 

There is a risk that achieved recoveries could be lower than estimated, that throughputs will not be achieved and that costs may be higher than modelled. The process recovery, throughput and cost estimates will be refined as part of the pre-feasibility study.

 

This project also includes the installation of a large quantity of particle sorting machines which, to the knowledge of the author, is beyond the scale of any currently operating concentrators.

 

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22.2.5Project Infrastructure

 

The planned mine will be a green-fields site and requires construction of mine and process-related infrastructure including the TSF. Access roads in and around the project site will be required. There is a risk that the designs, costs and implementation timelines for the provision of this infrastructure may not be as anticipated, increasing costs and schedule.

 

22.2.6Permitting

 

At this time, no issues were identified that would materially impact the ability to eventually extract mineral resources at the project. There is a risk that the mining plan of operations would identify and characterize issues that may lengthen the timeline and increase the costs of permitting the project. Note that the PEA described in this report does not quantify the timeline and costs for the pre-construction and permitting activities.

 

Previous environmental analyses have identified the presence of a rare plant Sacajawea’s bitterroot , and potential habitat for Endangered Species Act wildlife, and USFS sensitive species. These potential issues will need to be analyzed and disclosed in NEPA documents and potentially mitigated.

 

The mine will be located in an area used for weekend summer dispersed recreation and fall big-game hunting and is well-known in the Boise area. Organized environmental groups such as the Idaho Conservation League and Sierra Club are keeping their constituents informed so as to coordinate opposition to the project. As such, well-funded, organized opposition to mining activities should be anticipated.

 

22.2.7Economic Risks

 

Project Strategy Risk

 

Overall, the author considers that the likelihood of a major revision to project strategy emerging from the pre-feasibility study to be moderate. Mineral sorting as contemplated in this study is not a mature technology, and there is a risk that the assumptions used may not prove accurate. Elimination of the mineral sorting pre-process from the strategy has the potential to reduce the economic proposition of the project.

 

Commodity Price Risk

 

There is a risk that commodity prices may not be consistent with assumptions made in this study. In particular, molybdenum, which contributes the majority of project value is historically subject to significant price volatility.

 

Capital Cost Risk

 

There is a risk that the capital required to build and operate the project may be higher than that forecast in this study. The author recommends that the precision of the estimates be refined at pre-feasibility study and feasibility study before commitment to project construction is made.

 

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Operating Cost Risk

 

There is a risk that the operating costs incurred to operate the project may be higher than that forecast in this study. The author notes that variability in the operating cost drivers (productivity, input costs and labor costs) over time is expected. The analysis assumes constant conditions but is best thought of as reflecting an expectation of average costs. The authors recommend that the precision of the estimates be refined at pre-feasibility and feasibility study stages prior to commitment to project construction.

 

Schedule Risk

 

There is a risk that the schedule to build the project may vary from that assumed in the study. This is an asymmetrical risk, with significantly more downside scope than upside. This risk is exacerbated by the seasonality of the location, with somewhat difficult construction conditions occurring in some winter months. Smalls delays have the potential to be more significant than might otherwise be the case if they push critical path activities into winter months, thereby incurring a much longer delay.

 

Process Recovery Risk

 

There is a risk that achieved recoveries could be lower than estimated, reducing the revenue and economic returns of the project. The process recovery estimates will be refined as part of the pre-feasibility study and feasibility study.

 

Permitting and Pre-construction Schedule Risk

 

This was not explicitly considered for the purposes of this study in the economic analysis as the analysis is conducted only from the commencement of construction. Nevertheless, the risk of longer-than-anticipated permitting timeline will reduce the project value is considered from “today” forward.

 

22.3Project Opportunities

 

22.3.1Mineral Resource

 

The exploration drilling and thus mineral resource model for CuMo is constrained on the western extents of the deposit. There is opportunity with increased exploration to expand the resource to the west, thus offering either more process feed within the current envisioned open pit or increasing the size of the open pit to the west. This expansion can be done with only minimal effects on the location of the mill, sort plant or crusher.

 

22.3.2Mining

 

With increased knowledge of the rock mass and structural geology, through additional geotechnical field programs and investigation, there is potential to steepen the wall angles for CuMo.

 

Further consideration of high angle conveying solutions in combination with semi-mobile crushing and conveying (IPCC) concepts could highlight opportunities for cost savings at CuMo. Applying IPCC to sort feed, which needs to be crushed either way and is up to 50% of the mined material, poses the greatest opportunity.

 

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22.3.3Mineral Sorting

 

The bulk sorting analysis was conducted on drill core that was sampled on a standard 10 ft interval. Thus, heterogeneity could only be assessed down to this scale. With multiple stage sorting and splitting, smaller size packets of material could be measured. As heterogeneity increases with reduced scale, there is potential that better segregation of waste, mill feed and middlings is possible. The opportunity would be for increased waste rejection and ultimately reduced middlings fractions to improve the economics of the project.

 

Ultimately, the potential for exploitation of the heterogeneity of the deposit may not be firmly quantified by way of studies conducted on exploration-level data. Much higher-resolution sampling and sorting may be possible at an operational scale. This has the potential to enhance project economics, but the quantum of that improvement is difficult to quantify.

 

The field of mineral-sorting is the subject of significant research and development. There exists an opportunity for this project to exploit improvements in technology.

 

22.3.4Processing

 

Additional metallurgical work to determine optimum grind size (the current assessment is based on the finest grind tested to date), analyze recoveries of the various metals, and analyze the effects of the higher grade coming from the mineral sorters on metal recoveries. This has the potential to improve project economics.

 

Optimization of reagents to reduce costs and improve metallurgical recoveries has the potential to improve recoveries.

 

There may be opportunity to economically recover tungsten from the mineralized material.

 

22.3.5Project Infrastructure

 

Further studies may allow for optimization of infrastructure design, costing and schedule. Whilst optimization is worth pursuing, the author views modification to the infrastructure concepts to be unlikely to materially affect the economic proposition at a strategic level for the project.

 

22.3.6Economic Opportunities

 

Real Option Value

 

In the case of a large, long-life open-pit mine such as is contemplated for the CuMo project, there exists significant optionality that can be leveraged to improve project cashflows and values. The simple sensitivity analysis conducted in Section 22.13 assumes a constant operating strategy, even as assumptions are varied. In practice, management has the option to alter strategy in response to those variations. Downsides can be mitigated, and upsides can be leveraged for greater returns.

 

It is also expected that the mine would be run using a dynamic cut-off policy where sorting strategies and cut-offs, mill-feed cut-offs, stockpiling strategies and mining rates will all be varied in real time to maximize returns as prices and costs vary. The benefits of this strategy are not reflected in the central estimate approach to valuation summarized in this report.

 

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Project Strategy Opportunity

 

While the probability of a major revision to project strategy can be considered moderate, careful consideration and revision of the strategic decisions should be a feature of studies going forward. In particular, effort should be made to enhance the optionality of the project, particularly where this is low cost.

 

Commodity Price Opportunity

 

There is a risk that commodity prices may not be consistent with assumptions made in this study. Higher prices, both realized and forecast would lead to re-optimization of the mine and processing plans with a potential to create additional value beyond that shown by the sensitivity analysis summarized in Section 22.11.

 

Capital Cost Opportunity

 

Opportunities to reduce or defer capital expenditure may be realized in future studies. Care should be taken when considering the relationship between lower capital opportunities and technical risk to the project.

 

Operating Cost Opportunity

 

Operating costs may be lower than forecast for the purposes of this study. Lower costs should feed into both strategic and short-term mine planning, to allow optimization of stockpiling, sorting and mill feed strategies.

 

Schedule Opportunity

 

This risk is highly asymmetric. The authors consider that the opportunity to execute a significantly shorter construction program is low. The authors caution that optimized schedules with multiple critical or near-critical path activities will contain additional embedded risks.

 

Process Recovery Opportunity

 

Further metallurgical test-work will allow for optimization of the process flow sheet and plant design in the pre-feasibility and feasibility studies. Better than planned recoveries are possible.

 

Pit Slope Angle Opportunity

 

This is not considered to be a significant opportunity from an economic perspective. Strip ratios are relatively low, and incremental change in waste-movement volumes do not impact the overall project economics significantly.

 

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23Recommendations

 

23.1Mineral Resources

 

Exploration work consisting mainly of drilling is required to reach pre-feasibility. It is estimated that a total of 33 additional holes for 71,000 ft plus an additional five geotechnical holes for 12,000 ft on the deposit plus additional 74,800 ft allocated to condemnation drilling of waste dump, mill site and tailings pond areas, making a total of 157,800 ft of drilling budgeted. This drilling is broken into the following categories.

 

In-fill drilling

 

Delineation drilling

 

Orientated geotechnical drilling – requires oriented core recovery system

 

Drilling for metallurgical sample – large diameter hole (PQ size) recommended

 

Condemnation drilling waste dump, mill and tailings site

 

The shortest time to complete this work will be two seasons using four drill rigs each season.

 

23.2Pit Geotechnical

 

The author provides these recommendations for the next steps of geotechnical assessment:

 

Geotechnical database QA/QC assessment (to address the inconsistencies and potentially poor data observed in the existing data set)

 

Select a sub-set (~10%) of resource drill holes that give good spatial coverage of the proposed pit walls, and from multiple drilling campaigns

 

Undertake quantitative basic geotechnical logging using the full core photographs of these drill holes (TCR, SCR, RQD and FF/m)

 

FF/m vs RQD plots for both data-sets

 

Comparison of the values in the database with the photo-logged values

 

Assessment of differences in order to determine whether variance is systematic or random, and consequently decide on the respective approach to address e.g. apply correction factor, re-logging more of the drill holes

 

Qualitative assessment of the rock susceptibility to deterioration by comparing core in the photos (fresh), to the current condition of the stored core (aged)

 

Major structures assessment

 

Log the photos of the core for major structures

 

Develop conceptual integrated litho-structural 3-D model

 

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Geotechnical-specific diamond-cored drill holes targeted to provide coverage of the proposed interim and ultimate pit walls, and compatible with the pit depth

 

Geotechnical logging to RMRB89 system (historical logging to RMRL90 which is typically for underground mine applications)

 

Field (empirical and point load) and laboratory (uniaxial and triaxial compressive strength and direct shear) testing of fresh core to determine intact rock strength

 

Calculate RMR values and conduct comparison with lithology, alteration and mineralogy zones of the 3-D geology model to establish broad geotechnical domains

 

Establish pit sectors and domain-representative sections to conduct pit slope stability analyses and select pit design angles

 

23.3Mining

 

The author recommends further study of the application of high angle conveying of sort feed at CuMo.

 

The author further recommends the continued consideration of autonomous haulage for CuMo, with commensurate refinement of performance parameters and costs.

 

23.4Mineral Sorting

 

The author recommends that CuMoCo engage with bulk and particle sorting technology providers to advance testing of penetrative technologies (e.g. PGNAA) and other mineral sensing techniques for the measurement of molybdenum in lower grade applications.

 

23.5Processing

 

Metallurgical aspects to be studied were highlighted in the preliminary metallurgical analysis, some of which require larger samples to finalize the detailed flow sheet and determine how many cleaning stages will be required for flotation, as well as to confirm the total number and configuration of particle sorting units required. One important part of the analysis is a grinding versus recoverability study, as in the previous study only two grinding sizes were studied: coarse and fine. The fine grind proved to be more profitable despite the increase in costs. Further study with multiple grinding size options is required to determine an optimum grinding system.

 

Work will consist of collecting and analyzing a large, 2+ ton bulk sample to determine the optimum flow sheet for the deposit; and a variability study to analyze variations within the deposit. A total of 100 to 150 twenty-kilogram samples will be used for the variability study.

 

It is recommended that single stage SAG milling to 71 microns be evaluated as a possible way to reduce capital costs of the multiple grinding circuits. If a slightly coarser primary grind can be shown to be feasible, this will allow smaller grinding line modules to be selected. Production from a single line SAG plant can then be doubled with the addition of a ball mill, without changing the feed end storage or feed conveying equipment. This would lead to starting up the plant at much lower tonnage and create options to increase production as needed.

 

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It is also recommended that the potential recovery of tungsten as an economic mineral be considered in future test-work planning.

 

23.6Tailings Management

 

Engineering studies, including TSF design and potential water management and treatment design, including:

 

Updating the TSF and Clear Creek waste facility designs based on field investigation results

 

Developing tailings deposition plan and waste placement sequence to match pit development and mill output

 

Detailed analysis of the water and load balance to predict the accumulation of mill reagents in the process water circuit from the tailings

 

23.7Permitting

 

A mining plan of operations and reclamation cost estimate must be prepared to identify locations of the mine, waste rock dumps, roads (haul and access), power and water line corridors from the source to the point of use, mill, tailings storage facility, and other support facilities. Operating plans must be developed in conjunction with the mining plan of operations. ICMC should develop robust reclamation and closure plans for the facilities. ICMC should also begin acquiring any necessary water rights. Stakeholder outreach should continue.

 

Once the facility locations have been determined, ICMC should coordinate with state and federal agencies to identify the baseline studies that will need to be completed to support the development of an environmental impact statement and initiate those studies.

 

23.8Plan and Budget for Additional Work

 

Table 26-1 sets out a summary of work expected to be completed prior to final permitting being completed. The estimated time frame for this work program is three years.

 

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Table 23-1: Budget for additional work

 

Item Additional Information

Budget

(000s $)

Diamond Drilling    
Delineation, infill, metallurgy 48,097 m (157,800 ft) @ $100/ft 15,780
     
Road Construction 2 km @ $50,000/km 100
     
Sample Preparation and Analysis 8,800 @ $60 each 528
Metallurgical Testing Sample Collection, etc. 125
  Batch Round of Testing 1,000
  Variability Test-work 1,200
Land Acquisition and Staking Costs   8,000
Environmental Studies Environmental Assessment 713
  Baseline Studies Startup 12,500
  Environmental Plan of Operations 800
  Environmental Impact Statement 23,500
  Permitting 3,000
Engineering Studies Scoping Mill Site, Tailings Site Analysis 550
  Intergoverment Task Force Creation 500
  Mining Plan of Operations 1,200
  Pre-feasibility Study 5,500
Mobilization-Demobilization   427
Road Maintenance   325
Supervision and Project Management Supervision 225
  Corporate Manager 360
  Project Manager 240
  Assistant Geologist(2) 364
  Technicians (12) 1,174
Vehicles 5 Vehicles 150
Accommodation and Food 30 Personnel 760
Travel   42
Project Office and Warehouse   1,225
Land Filing Fees Current BLM: $155/claim/year 87
Land Filing Fees Projected Additional Filing Fees 256
     
Consultants (Mining, Metallurgical and Marketing) 575
Resource Modeling   1,650
Public Relations and Project Public Relations and Legal, etc. 2,550
Presentation Liaison County and State Officials 1,250
Subtotal   86,655
Contingency   13,345
Total   100,000

 

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24References

 

Anderson, A.L., 1947, Geology and Ore Deposits of the Boise Basin, Idaho, USGS Bull 944C.

 

Armstrong, R.L., Taubeneck, W.H., Hales, P.O., 1977. Rb–Sr and K–Ar geochronometry of Mesozoic granitic rocks and their Sr isotopic composition, Oregon, Washington, and Idaho. Geological Society of America Bulletin 88, 397–411.

 

Arseneau, G., McCarthy, R., Thomas, A., Boese, C., Winkelmann, N., Sawyer, V., Giroux, G., Starkey, J., Preliminary Economic Assessment & NI 43-101 Technical Report for the CuMo Project, USA. Interim technical report, November 2019.

 

Ausenco Canada Inc., 2009, CUMO Project – Throughput Scoping Study Report, November 27, 2009.

 

Baker, D.J., 1985, Geology of the CUMO Molybdenum-Copper System, Boise County, Idaho, Geological Society of America, Abstracts with Programs 1985, Rocky Mountain Section, No. 70043, p 205.

 

Baker, D.J., 1983, The CUMO Molybdenite System, Boise, Idaho, A Comprehensive Summary”, Climax Molybdenum Company, April 1983, unpublished.

 

Bennett, E.H., 1986, Relationship of the trans-Challis fault system in central Idaho to Eocene and Basin and Range extensions, Geology, v. 14, p. 481-484.

 

Braun, R.M., Holmgren, J,A,, Giroux, G.H., Kehmeier, R., Khoury, C., 2009, CUMO Property Preliminary Economic Assessment, Boise County, Idaho, for Mosquito Consolidatd Gold Mines Ltd., an Ausenco National Instrument 43-101 report dated November 18, 2009.

 

Carten, R.B., White, W.H. and Stein, H.J., 1993, High-Grade Granite-Related Molybdenite Systems: Classification and Origin, in Kirkham, R.V., Sinclair, W.D., Thorpe, R.I. and Duke, J.M., eds., Mineral Deposit Modeling; Geological Association of Canada, Special Paper 40, p. 521-544.

 

CPM Group Molybdenum Market Outlook reports 2017 and 2018, CPM Group, New York, private reports available by subscription only.

 

Giroux, G. Cavey, G. and Gunning, D., 2005, Summary Report on the CUMO Molybdenum Property, Boise County, Idaho, for Kobex Resources LTD., unpublished.

 

Giroux, G. Dykes, S. and Place, J.H. 2015, Summary Report on the CUMO Molybdenum Property, Boise County, Idaho. A national instrument 43-101 Report for American CuMo Mining Corp.

 

Hildenbrand, T.G., Berger, B. and Jachens, R.C., 2000, Regional Crustal Structures and Their Relationship to the Distribution of Ore Deposits in the Western United States, Based on Magnetic and Gravity Data, Econ. Geol. v.95, p. 1583-1603.

 

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Holmgren, J. and Giroux, G. 2008. Summary Report on the CUMO Property, Boise County, Idaho. NI 43-101 Technical Report for Mosquito Consolidated Gold Mines Ltd., posted at www.sedar.com

 

Idaho Department of Water Resources. 2018. Water District Descriptions, https://idwr.idaho.gov/ExternalReports/WaterDistrictDescriptionReport.pdf , accessed November 20, 2018.

 

Johnson, B. R. and Raines G. L., 1996, Digital representation of the Idaho state geologic map: a contribution to the Interior Columbia River Basin Ecosystem Management Project; USGS Open File Report 95-690.

 

Killsgaard, T.H, Stanford, L.R. and Lewis, R.S., 2006, Geologic Map of the Deadwood River 30 x 60 Minute Quadrangle, Idaho; Idaho Geological Survey, Geologic Map 45.

 

Killsgaard, T.H, Stanford, L.R. and Lewis, R.S., 2001, Geologic Map of the Idaho City 30 x 60 Minute Quadrangle, Idaho; Idaho Geological Survey, Geologic Map 29.

 

Killsgaard, T.H, Fisher, F.S. and Bennet, E.H., 1989, Gold-Silver Deposits Associated with the Trans-Challis Fault System, Idaho; USGS Bull 1857-B, p. B22-B44

 

Killsgaard, T.H, and Lewis, R.S., 1985, Plutonic Rocks of Cretaceous Age and Faults in the Atlanta Lobe of the Idaho Batholith, Challis Quadrangle; USGS Bull 1658 A-S, p. 29-42.

 

Klein, T.L., 2004, Mineral deposit data for epigenetic base-and precious-metal and uranium-thorium deposits in south-central and southwestern Montana and southern and central Idaho, USGS Open File Report 2004-1005.

 

Link, P.K., 2002, Geological Map of Boise County, Idaho; in Digital Atlas of Idaho, website: http://imnh.isu.edu/digitalatlas/counties/geomaps/geomap.htm

 

Lipsett, J. and Simpson Jr, 1973, Analysis of the response by wheat to the application of molybdenum in relation to nitrogen status, Australian Journal of Experimental Agriculture and Animal Husbandry

 

Lowell, J.D. and Guilbert, J.M. (1970) Lateral and Vertical Alteration-Mineralization Zoning in Porphyry Ore Deposits. Economic Geology, 65, 373-408.

 

Lund, K., Klein, T.L, O'Neill and J.M., Sims, P.K., 2005, Influence of structure and composition of basement on mineral deposits across Montana and Idaho; EarthScope in the Northern Rockies

 

Workshop, Program, Session III; website: Mutchler, F.E., Ludington, S. and Bookstrom, A.A., 1999, Giant porphyry-related metal camps of the world — a database, USGS Open File Report 99-556.

 

O’Neill, J.M., and Lopez, D.A., 1985, Character and regional significance of the Great Falls tectonic zone, east-central Idaho and west-central Montana: American Association of Petroleum Geologists Bulletin, v. 69, p. 437–477.

 

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Panteleyev, A., 1995, Porphyry Cu+/-Mo+/-Au, in “Selected British Columbia Mineral Deposit Profiles, Volume 1 - Metallics and Coal”, Lefebvre, D.V. and Ray, G.E., Editors, British Columbia Ministry of Energy of Employment and Investment, Open File 1995-20, pages 87-92.

 

Rostad, O.H., 1978, K-Ar dates for mineralization in the White Cloud-Cannivan porphyry molybdenum belt of Idaho-Montana: A discussion: Econ. Geol. v. 73, p. 1366–1367.

 

Sims, P.K. Lund, K. and Anderson, E., 2005, Precambrian Crystalline Basement Map of Idaho – An Interpretation of Aeromagnetic Anomalies; USGS, Scientific Investigations Map 2884.

 

Singer, D.A, Berger, V.I., and Moring, B.C., 2005, Porphyry Copper Deposits of the World: Database, Map, and Grade and Tonnage Models, USGS Open File Report 2005-1060.

 

Spanski, G.T., 2004, Inventory of Significant Mineral Deposit Occurrences in the Headwaters Project Area in Idaho, Western Montana, and Extreme Eastern Oregon and Washington, USGS Open File Report 2004-1038.

 

SGS, 2009, An Investigation into the Recovery of Molybdenum, Copper and Silver from CUMO samples prepared for Mosquito Consolidated Gold Mines Ltd Project 50004-001

 

Snowden Mining Industry Consultants (2012), Jones, I., Scott K., Kehmeier, R., and Khoury, C., Resource Estimate Update June 2011, updated June 2012 posted at www.sedar.com

 

United States Department of Agriculture, Forest Service, 2018. Supplemental Redline Environmental Assessment CuMo Exploration Project, December 2018.

 

United States Department of Agriculture, Forest Service, 2015. CuMo Exploratory Project Supplemental Environmental Assessment, March 2015.

 

United States Department of Agriculture, Forest Service, 2011.Environmental Assessment CuMo Project, February 2011.

 

25Reliance on Other Experts

 

In relation to the information contained in Section 4.2 and Section 4.3, The author has performed an independent legal review and verification of land title and tenure information. The author did verify the legality of the underlying agreement(s) that may exist concerning the permits or other agreement(s) between third parties. The authors have relied upon information collated by CuMoCo with regard to legal matters relevant to this report. This reliance is on information as to claim ownership and mineral rights as provided by the United States Bureau of Land Management.

 

The authors have relied on the USFS and NEPA to examine procedures and status for Sections 4.4 and 20, and various accounting firms have been contacted to confirm the current US Mine tax system used in Sections 21 and 22.

 

With respect to Section 4.5 The author was informed by CuMoCo that there are no known litigations potentially affecting the CuMo project.

 

The author has no reason to believe that any of the information as provided by CuMoCo and outlined above is inaccurate or misleading.

 

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Appendix 1: Claims List

 

Unpatented CuMo Claim List 2018
Item Claim Name/Number BLM
Serial No.
County
Instrument
Number
Loc Dt
1 CUMO #1 188031 201255 Mar-05
2 CUMO #2 188032 201256 Mar-05
3 CUMO #3 188033 201257 Mar-05
4 CUMO #4 188034 201258 Mar-05
5 CUMO #5 188035 201259 Mar-05
6 CUMO #6 188036 201260 Mar-05
7 CUMO #7 188037 201261 Mar-05
8 CUMO #8 188038 201262 Mar-05
9 NEW CUMO #9 187938 199561 Nov-04
10 NEW CUMO #10 187939 199562 Nov-04
11 NEW CUMO #11 187940 199563 Nov-04
12 NEW CUMO #12 187941 199564 Nov-04
13 NEW CUMO #13 187942 199565 Oct-04
14 NEW CUMO #14 187943 199566 Oct-04
15 NEW CUMO #15 187944 199567 Oct-04
16 NEW CUMO #16 187945 199568 Oct-04
17 NEW CUMO #17 187946 199569 Oct-04
18 NEW CUMO #18 187947 199570 Oct-04
19 NEW CUMO #19 187948 199571 Oct-04
20 NEW CUMO #20 187949 199572 Oct-04
21 NEW CUMO #21 187950 199573 Oct-04
22 NEW CUMO #22 187951 199574 Nov-04
23 NEW CUMO #23 187952 199774 Nov-04
24 NEW CUMO #24 187953 199775 Nov-04
25 NEW CUMO #25 187954 199575 Nov-04
26 NEW CUMO #26 187955 199576 Nov-04
27 NEW CUMO #27 187956 199577 Nov-04
28 NEW CUMO #28 187957 199578 Nov-04
29 NEW CUMO #29 187958 199579 Nov-04
30 NEW CUMO #30 187959 199580 Nov-04
31 NEW CUMO #31 187960 199581 Nov-04
32 NEW CUMO #32 187961 199582 Nov-04
33 NEW CUMO #33 187962 199583 Nov-04
34 NEW CUMO #34 187963 199584 Nov-04
35 NEW CUMO #35 187964 199585 Nov-04
36 NEW CUMO #36 187965 199586 Nov-04
37 NEW CUMO #37 187966 199587 Nov-04
38 NEW CUMO #38 187967 199588 Nov-04
39 NEW CUMO #39 187968 199589 Nov-04
40 NEW CUMO #40 187969 199590 Nov-04
41 NEW CUMO #41 187970 199591 Nov-04
42 NEW CUMO #42 187971 199592 Nov-04
43 NEW CUMO #43 187972 199593 Nov-04
44 NEW CUMO #44 187973 199594 Nov-04
45 NEW CUMO #45 187974 199595 Nov-04

 

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Unpatented Cumo Claim List 2018 - Page 2
Item Claim Name/Number BLM
Serial No.
County
Instrument
Number
Loc Dt
46 NEW CUMO #46 187975 199596 Nov-04
47 NEW CUMO #47 187976 199597 Nov-04
48 NEW CUMO #48 187977 199598 Nov-04
49 NEW CUMO #49 187978 199599 Nov-04
50 NEW CUMO #50 187979 199600 Nov-04
51 NEW CUMO #51 187980 199601 Nov-04
52 NEW CUMO #52 187981 199602 Nov-04
53 NEW CUMO #53 187982 199603 Nov-04
54 NEW CUMO #54 187983 199604 Nov-04
55 NEW CUMO #55 187984 199605 Nov-04
56 NEW CUMO #56 187985 199606 Nov-04
57 NEW CUMO #57 187986 199607 Nov-04
58 NEW CUMO #58 187987 199608 Nov-04
59 NEW CUMO #59 187988 199609 Nov-04
60 NEW CUMO #60 187989 199776 Nov-04
61 NEW CUMO #61 187990 199777 Nov-04
62 CUMO #62 188205 202147 May-05
63 CUMO #63 188206 202148 May-05
64 CUMO #64 188207 202149 May-05
65 CUMO #65 FRACT. 188208 202150 May-05
66 CUMO #66 188209 202151 May-05
67 CUMO #67 FRACTION 188210 202152 May-05
68 CUMO #68 FRACT. 188211 202153 May-05
69 CUMO #69 FR. 188212 202154 May-05
70 CUMO #70 FRACT. 188213 202155 May-05
71 CUMO #71 188214 202156 May-05
72 CUMO #72 188215 202157 May-05
73 CUMO #73 188216 202158 May-05
74 CUMO #74 188217 202159 May-05
75 CUMO #75 188218 202160 May-05
76 CUMO #76 188219 202161 May-05
77 CUMO #77 188220 202162 May-05
78 CUMO #78 188221 202163 May-05
79 CUMO #79 188222 202164 May-05
80 CUMO #80 188223 202165 May-05
81 CUMO #81 188224 202166 May-05
82 CUMO #82 188225 202167 May-05
83 CUMO #83 188226 202168 May-05
84 CUMO #84 188227 202169 May-05
85 CUMO #85 188228 202271 May-05
86 CUMO #86 188229 202272 May-05
87 CUMO #87 188230 202273 May-05
88 CUMO #88 188231 202274 May-05
89 CUMO #89 188232 202275 May-05
90 CUMO #90 188233 202276 May-05

 

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Unpatented Cumo Claim List 2018 - Page 3
Item Claim Name/Number BLM
Serial No.
County
Instrument
Number
Loc Dt
91 CUMO #91 188234 202277 May-05
92 CUMO #92 188235 202278 May-05
93 CUMO #93 188236 202279 May-05
94 CUMO #94 188237 202281 May-05
95 CUMO #95 188238 202282 May-05
96 CUMO #98 188239 202366 May-05
97 CUMO #99 188240 202367 May-05
98 CUMO #100 188241 202368 May-05
99 CUMO #101 188242 202369 May-05
100 CUMO #107 FRACTION 188244 202371 May-05
101 CUMO #109 188246 202373 May-05
102 CUMO #121 188258 202283 May-05
103 CUMO #122 188259 202284 May-05
104 CUMO #123 188260 202285 May-05
105 CUMO #124 188283 202286 May-05
106 CUMO #125 188261 202287 May-05
107 CUMO #126 188262 202288 May-05
108 CUMO #127 188263 202289 May-05
109 CUMO #128 188264 202290 May-05
110 CUMO #132 188268 202294 May-05
111 CUMO #133 188269 202295 May-05
112 CUMO #134 188270 202296 May-05
113 CUMO #135 188271 202297 May-05
114 CUMO #136 188272 202298 May-05
115 CUMO #137 188273 202299 May-05
116 CUMO #138 188274 202300 May-05
117 CUMO #139 188275 202301 May-05
118 CUMO #140 188276 202302 May-05
119 CUMO #141 188277 202303 May-05
120 CUMO #142 188278 202304 May-05
121 CUMO #143 188279 202305 May-05
122 CUMO #144 188280 202306 May-05
123 CUMO #145 188281 202307 May-05
124 CUMO #146 188282 202308 May-05
125 CUMO #147 188284 202309 May-05
126 CUMO #148 188285 202310 May-05
127 CUMO #149 FRACT. 188286 202311 May-05
128 CUMO #150 188257 202312 May-05
129 CUMO #151 FRACT. 188287 202313 May-05
130 CUMO #152 188288 202314 May-05
131 CUMO #153 188289 202315 May-05
132 CUMO #154 188290 202316 May-05
133 CUMO #155 188291 202317 May-05
134 CUMO #156 188292 202318 May-05
135 CUMO #157 188293 202319 May-05

 

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2CM027.001 CuMoCo. 
 Page 179

 

Unpatented Cumo Claim List 2018 - Page 4

Item Claim Name/Number BLM
Serial No.
County
Instrument
Number
Loc Dt
136 CUMO #158 188294 202320 May-05
137 CUMO #159 188295 202323 May-05
138 CUMO #160 188486 202321 May-05
139 CUMO #161 188491 202322 May-05
140 CUMO #176 FRACT. 188306 202324 May-05
141 CUMO #177 FRACT. 188307 202325 May-05
142 CUMO #178 188308 202326 May-05
143 CUMO #179 188309 202327 May-05
144 CUMO #180 188310 202328 May-05
145 CUMO #181 188311 202329 May-05
146 CUMO #182 FRACT. 188312 202330 May-05
147 CUMO #183 FRACT. 188313 202331 May-05
148 CUMO #184 188314 202332 May-05
149 CUMO #185 188315 202333 May-05
150 CUMO #186 188316 202334 May-05
151 CUMO #187 188317 202335 May-05
152 CUMO #188 FRACT. 188318 202336 May-05
153 New Cumo 190 Fraction 203192 230231 Oct-10
154 New Cumo 191 Fraction 203193 230232 Oct-10
155 New Cumo 192 Fraction 203194 230233 Oct-10
156 New Cumo 193 Fraction 203195 230234 Oct-10
157 Cumo 194 203196 230229 Oct-10
158 Cumo 195 Fraction 203197 230230 Oct-10
159 Cumo 196 Fraction 203198 230228 Oct-10
160 Cumo 197 Fraction 203199 230235 Oct-10
161 Cumo 198 Fraction 203200 230236 Oct-10
162 Cumo 199 Fraction 203201 230237 Oct-10
163 Cumo 200 Fraction 203202 230238 Oct-10
164 Cumo 201 Fraction 203203 230239 Oct-10
165 Sharon #1 177221 159054 Oct-94
166 Sharon #2 177222 159055 Oct-94
167 Sharon #3 177223 159056 Oct-94
168 Sharon#4 177224 159057 Oct-94
169 Sharon#5 177225 159058 Oct-94
170 Sharon#6 177226 159059 Oct-94
171 Sharon#7 177227 159060 Oct-94
172 Sharon#8 177228 159061 Oct-94

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 180

 

Unpatented CuMo Claim List 2018 - Page 5
Item Claim Name/Number BLM
Serial No.
County
Instrument
Number
Loc Dt
173 Sharon#8 177228 159061 Oct-94
174 Sharon#9 177229 159062 Oct-94
175 Sharon#10 177230 159063 Oct-94
176 BlackJack#1 177236 159064 Oct-94
177 BlackJack#2 177237 159065 Oct-94
178 JRA No. 16 106515 76851 Sep-82
179 JRA No. 18 106517 76853 Sep-82
180 JRA No. 20 106519 76855 Sep-82
181 JRA No. 20 106520 76856 Sep-82
182 JRA No. 29 106528 76864 Sep-82
183 JRA No. 30 106529 76865 Sep-82
184 JRA No. 31 106530 76866 Sep-82
185 JRA No. 45 106544 76880 Sep-82

 

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Geologic  
2CM027.001 CuMoCo. 
 Page 181

 

Patented Cumo Claim List 2018 - Page 1
Item Claim Name/Number Patent Number Year
Granted
Survey
Number
1 Blackbird 11830026 1902+1983 3636
2 Red Flag 11830026 1902+1983 3636
3 Enterprise 39183 1902 1706
4 Enterprise Fraction 39183 1902 1706
5 Commonwealth 39183 1902 1706
6 Baby Mine 39183 1902 1706
7 Duane #6 39183 1945 3455
8 German American 1155808 1945 3455
9 Homestake #6 1155808 1945 3455
10 Coon Dog #1 1155808 1945 3455
11 Coon Dog #3 1155808 1945 3455
12 Coon Dog #4 1155808 1945 3455
13 Coon Dog #5 1155808 1945 3455
14 Coon Dog #10 1155808 1945 3455
15 Grey Eagle #2 1155808 1945 3455
16 Grey Eagle #3 1155808 1945 3455
17 Missing Link #1 1155808 1945 3455
18 Missing Link #4 1155808 1945 3455
19 Ida 1155808 1945 3455
20 Daily 1155808 1945 3455
21 Jumbo 645180 1918 2830
22 Jumbo #2 645180 1918 2830
23 Snowstorm 645180 1918 2830
24 Sunset #1 119757 1909 2269
25 Last Dollar 119757 1909 2269
26 Sunset #2 119757 1909 2269
27 Gold Dollar #1 119757 1909 2269
28 Gold Dollar #2 119757 1909 2269
29 Gold Dollar #3 119757 1909 2269
30 Pheasant Lode 564946 1917 2679
31 Golden Age Placer 535188 1916 2680
32 Wills Placer 951698 1925 3052
33 Gerdo 645179 1918 2831
34 Harper #1 1144749 1944 3456
35 Harper #2 1144749 1944 3456
36 Florence 546017 1916 2681
37 Charlotte 546017 1916 2681
38 Francis 546017 1916 2681
39 Theron Fraction 546017 1916 2681
40 Theron 546017 1916 2681
41 Idaho 546017 1916 2681

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 182

 

Appendix 2: Re-Splits of Rejects

 

Results for Mo - Chemex - original vs. ICP check

 

 

Results for Mo - Chemex - original vs. XRF check

 

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2CM027.001 CuMoCo. 
 Page 183

 

 

Results for Cu - Chemex - original vs. ICP check

 

 

Results for Cu - Chemex - original vs. XRF check

 

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2CM027.001 CuMoCo. 
 Page 184

 

 

Results for Ag - Chemex original vs. ICP check

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 185

 

Appendix 3: Drill Holes used in Resource Estimate

 

Hole Northing Easting Elevation Dip Azimuth Length (feet)
71-01 120989.9 219904.5 6026.5 -90 0 1884
71-02 120575.0 219820.0 6060.0 -70 0 405
71-03 120250.0 219905.0 6165.0 -90 0 70
C71-04 120785.0 219940.0 6045.0 -90 0 113
C72-05 120524.8 220569.9 6201.7 -90 0 1416
C72-06 121749.0 219919.0 5902.0 -90 0 663
C72-07 121491.0 219823.0 5962.0 -90 0 275
C72-08 118890.0 220025.0 6467.0 -90 0 379
C74-09 121438.0 220687.0 5890.0 -60 168 804.6
C75-10 119755.7 221220.4 6341.0 -90 0 2381
C76-11 120455.8 221250.2 5996.0 -90 0 3003
C76-12 120955.0 221432.0 5742.0 -43 190 1340
C77-13 119471.9 219902.9 6426.3 -90 0 1804
C77-14 119085.4 221271.3 6613.3 -90 0 2123.8
C77-15 119772.1 221950.9 6339.0 -90 0 1933.2
C78-16 119209.7 219147.5 6247.9 -90 0 2131.7
C78-17 118711.9 219886.6 6544.3 -90 0 2281.5
C78-18 119823.5 222649.1 6168.3 -90 0 2361
C79-19 120178.0 219887.0 6170.0 -90 0 2280
C79-20 120878.0 220787.0 6105.0 -90 0 2543
C81-24 120671.1 222009.5 6069.8 -90 0 1000
C81-25 119890.0 219289.7 6019.0 -90 0 1011
C81-26 121338.1 221432.9 5767.5 -90 0 1193

 

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2CM027.001 CuMoCo. 
 Page 186

 

Hole Northing Easting Elevation Dip Azimuth Length (feet)
27-06 120031.9 220207.9 6351.4 -90 0 1849
28-06 119539.8 220816.8 6321.1 -90 0 1711
29-07 119778.9 221246.7 6343.7 -70 140 2281.7
30-07 119732.2 219616.8 6213.1 -90 0 2416.5
31-07 119792.5 221243.3 6342.3 -70 45 2104
32-07 119558.4 220822.6 6323.6 -70 190 2044
33-07 118476.7 221227.0 6796.8 -90 0 2095
34-07 118658.3 220487.4 6534.2 -70 95 1769
35-08 118655.2 220480.4 6533.2 -90 0 2817
36-08 119335.3 219448.7 6274.6 -90 0 2488
37-08 119780.4 221246.8 6341.5 -70 335 2195
38-08 118655.2 220480.4 6533.2 -70 180 2441
39-08 118917.9 220813.2 6575.1 -90 0 2688
40-08 119530.1 220791.4 6321.4 -70 225 2252
41-08 119630.2 218962.5 6219.9 -90 0 3018
42-08 118748.9 219911.0 6549.2 -70 270 2707
43-08 120612.8 220052.8 6173.8 -80 40 1313
44-08 118085.1 221515.9 6739.4 -65 75 3047
45-08 119802.3 218821.4 6183.7 -80 330 1796
46-09 118913.9 220811.3 6575.1 -75 110 959
47-09 120686.7 219421.7 5832.6 -90 0 2530
48-09 120690.0 219425.0 5825.5 -70 305 2576
49-09 119094.6 221745.7 6645.3 -90 0 2847
50-09 121548.0 219843.5 5832.6 -75 270 1826
51-09 121534.9 219859.8 5828.5 -90 0 1593.5
52-09 118499.5 221251.3 6791.2 -75 20 2772
53-09 119803.9 218830.5 6183.4 -75 15 2461
54-09 119534.9 219005.1 6195.9 -75 15 1096
55-10 117559.6 218422.5 6724.2 -65 0 2479
56-10 117559.9 218421.9 6724.2 -65 305 1294
57-10 117559.3 218422.2 6724.2 -90 0 534
58-11 119142.8 219970.3 6451.3 -90 0 1885
59-11 119095.6 221745.9 6645.3 -75 0 1910
60-12 117559.9 218421.9 6724.2 -50 180 1455
61-12 118748.9 219911.0 6549.2 -75 335 1318
62-12 116866.1 218040.5 6628.7 -50 135 1484
63-12 116866.8 218041.5 6628.7 -60 330 807
64-12 118913.9 220811.3 6575.1 -75 25 2139
65-12 118148.8 221117.5 6785.7 -80 315 1908
66-12 118674.0 221687.8 6689.7 -90 0 2241
67-12 118913.9 220811.3 6575.1 -70 340 1978
68-12 119095.6 221745.9 6645.3 -70 310 2133.5

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 187

 

Appendix 4: Semi-variograms

 

A4.1 - MoS2 in Cu-Mo and Mo Zones

 

A4.2 - MoS2 in Cu-Ag Zone

 

A4.3 - Cu in Cu-Ag and Cu-Mo Zones

 

A4.4 - Cu in Mo Zone

 

A4.5 - Ag in Cu-Ag and Cu-Mo Zones

 

A4.6 - Ag in Mo Zone

 

A4.7 - W in Cu-Ag Zone

 

A4.8 - W in Cu-Mo and Mo Zones

 

* Tungsten is included for reference only, as it was not used in resource estimation

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

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2CM027.001 CuMoCo. 
 Page 188

 

A4.1 – MoS2 in CuMo and Mo Zones

 

 

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2CM027.001 CuMoCo. 
 Page 189

 

 

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Geologic  
2CM027.001 CuMoCo. 
 Page 190

 

 

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Geologic  
2CM027.001 CuMoCo. 
 Page 191

 

A4.2 – MoS2 in Cu-Ag Zone:

 

 

 

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2CM027.001 CuMoCo. 
 Page 192

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 193

 

 

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2CM027.001 CuMoCo. 
 Page 194

 

A4.3 – Cu in Cu-Ag and Cu-Mo Zones:

 

 

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2CM027.001 CuMoCo. 
 Page 195

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 196

 

 

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2CM027.001 CuMoCo. 
 Page 197

 

A4.4 – Cu in Mo Zone:

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

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2CM027.001 CuMoCo. 
 Page 198

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 199

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 200

 

A4.5 – Ag in Cu-Ag and Cu-Mo Zones:

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 201

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 202

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 203

 

A4.6 – Ag in Mo Zone:

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 204

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 205

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 206

 

A4.7 – W in Cu-Ag Zone:

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 207

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 208

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 209

 

A4.8 – W in CuMo and Mo Zones:

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 210

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 211

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 212

 

Appendix 5: Scatter Plots showing Results from Historic Data Verification

 

A5.1 – Skyline original MoS2 versus Skyline duplicate MoS2 from duplicate drill core

 

A5.2 – Skyline original MoS2 versus Skyline duplicate MoS2 from rejects

 

A5.3 – Skyline original MoS2 versus Skyline duplicate MoS2 from pulps

 

A5.4 – Skyline original MoS2 versus Amax check MoS2 on pulps from drill core

 

A5.5 – Skyline original MoS2 versus Amax check MoS2 on RC cuttings

 

A5.6 – Skyline original MoS2 versus Hazen check MoS2 on pulps

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

Geologic  
2CM027.001 CuMoCo. 
 Page 213

 

 

A5.1 – Skyline Original MoS2 versus Skyline Duplicate MoS2 from duplicate drill core

 

 

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2CM027.001 CuMoCo. 
 Page 214

 

A5.2 – Skyline Original MoS2 versus Skyline Duplicate MoS2 from rejects

 

 

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2CM027.001 CuMoCo. 
 Page 215

 

A5.3 – Skyline Original MoS2 versus Skyline Duplicate MoS2 from pulps

 

 

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Geologic  
2CM027.001 CuMoCo. 
 Page 216

 

A5.4 – Skyline Original MoS2 versus Amax Check MoS2 on pulps from drill core

 

 

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Geologic  
2CM027.001 CuMoCo. 
 Page 217

 

A5.5 – Skyline Original MoS2 versus Amax Check MoS2 on RC Cuttings

 

 

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2CM027.001 CuMoCo. 
 Page 218

 

A5.6 – Skyline Original MoS2 versus Hazen Check MoS2 on pulps

 

 

 

 

 

 

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SMDEx 96.1 Technical Report Summary – GeologicJanuary 2023

 


Dates Referenced Herein   and   Documents Incorporated by Reference

This ‘8-K’ Filing    Date    Other Filings
Filed on:1/27/23
For Period end:1/23/23
6/4/20
11/20/18
11/9/18
8/30/18
3/21/18
11/15/17
7/17/17
7/6/17
4/25/17
2/14/17
8/7/16
7/13/16
7/11/16
9/30/1510-Q
6/2/15
4/13/15
1/28/15
2/7/13
8/29/12
12/15/11
6/7/11
5/17/11
2/14/11
6/14/10
11/27/09
11/18/09
10/10/06
10/6/06
1/21/05
1/14/05
10/13/04
 List all Filings 


5 Subsequent Filings that Reference this Filing

  As Of               Filer                 Filing    For·On·As Docs:Size             Issuer                      Filing Agent

12/20/23  Idaho Copper Corp.                10-Q       10/31/23   49:3.6M                                   M2 Compliance LLC/FA
 9/05/23  Idaho Copper Corp.                10-Q        7/31/23   49:4.3M                                   M2 Compliance LLC/FA
 6/14/23  Idaho Copper Corp.                10-Q        4/30/23   50:3.5M                                   M2 Compliance LLC/FA
 3/10/23  Idaho Copper Corp.                10-K       12/31/22   40:3.2M                                   EdgarAgents LLC/FA
 2/14/23  Idaho Copper Corp.                8-K/A:1,2,9 1/23/23   12:540K                                   EdgarAgents LLC/FA
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