Identifying the Median Grade-Tonnage Curve from the Global Database of VMS Copper Mining Projects

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Item Type:    MPRA Paper
Commentary on:    Bell, Peter (2025): Mining Exploration Business Valuation Simulations with Global VMS Deposits Database.
Original Title:    Identifying the Median Grade-Tonnage Curve from the Global Database of VMS Copper Mining Projects
Language:    English
Keywords:    Natural Resources, Mining, Copper, Zinc, Volcanogenic Massive Sulphide, Metals Grade, Deposit Tonnage, Grade-Tonnage Curve, Probability Distribution, Median Path, Statistical Analysis, Simulation, Quantile
Subjects:    A - General Economics and Teaching > A1 - General Economics
A - General Economics and Teaching > A1 - General Economics > A19 - Other
B - History of Economic Thought, Methodology, and Heterodox Approaches > B5 - Current Heterodox Approaches
B - History of Economic Thought, Methodology, and Heterodox Approaches > B5 - Current Heterodox Approaches > B59 - Other
C - Mathematical and Quantitative Methods > C0 - General
C - Mathematical and Quantitative Methods > C0 - General > C02 - Mathematical Methods
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C18 - Methodological Issues: General
C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics
C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C40 - General
C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling
C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling
C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C69 - Other
C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs
C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs > C81 - Methodology for Collecting, Estimating, and Organizing Microeconomic Data ; Data Access
D - Microeconomics > D2 - Production and Organizations
D - Microeconomics > D8 - Information, Knowledge, and Uncertainty
D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D81 - Criteria for Decision-Making under Risk and Uncertainty
G - Financial Economics > G1 - General Financial Markets
G - Financial Economics > G1 - General Financial Markets > G17 - Financial Forecasting and Simulation
G - Financial Economics > G3 - Corporate Finance and Governance
G - Financial Economics > G3 - Corporate Finance and Governance > G31 - Capital Budgeting ; Fixed Investment and Inventory Studies ; Capacity
H - Public Economics > H2 - Taxation, Subsidies, and Revenue
H - Public Economics > H2 - Taxation, Subsidies, and Revenue > H25 - Business Taxes and Subsidies
K - Law and Economics > K2 - Regulation and Business Law
K - Law and Economics > K2 - Regulation and Business Law > K23 - Regulated Industries and Administrative Law
L - Industrial Organization > L2 - Firm Objectives, Organization, and Behavior
L - Industrial Organization > L5 - Regulation and Industrial Policy
L - Industrial Organization > L7 - Industry Studies: Primary Products and Construction
L - Industrial Organization > L7 - Industry Studies: Primary Products and Construction > L72 - Mining, Extraction, and Refining: Other Nonrenewable Resources
Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q3 - Nonrenewable Resources and Conservation
Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q3 - Nonrenewable Resources and Conservation > Q32 - Exhaustible Resources and Economic Development
Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q3 - Nonrenewable Resources and Conservation > Q33 - Resource Booms
Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q5 - Environmental Economics
Y - Miscellaneous Categories > Y1 - Data: Tables and Charts
Item ID:    127617
Depositing User:    Peter N Bell
Last Modified:    14 Jan 2026 21:49
References:    
Bell, P. (2015). "Mineral exploration as a game of chance," MPRA Paper 62159, University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/62159/

Bell, P. (2018a). "Simulating Mine Revenues with Historical Gold Price Data from the Bank of England," MPRA Paper 89420, University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/89420/

Bell, P. (2018b). "Valuation Simulation for a Net Smelter Return Royalty on a Mining Project," MPRA Paper 87683, University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/87683/

Bell, P. (2018c). "Evaluating the Kemess Stream sold by Centerra Gold in 2018," MPRA Paper 87014, University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/87014/

Bell, P. (2025a). "Mining Exploration Business Valuation Simulations with Global VMS Deposits Database," MPRA Paper 126072, University Library of Munich, Germany. https://mpra.ub.uni-muenchen.de/126072/

Bell, P. (2025b). "Mining Exploration Business Strategy around Logging Roads," MPRA Paper 126635, University Library of Munich, Germany. https://ideas.repec.org/p/pra/mprapa/126635.html

Bell, P. (2025c). "New Methods for Mathematical Optimization of Mine Plans using Theory of Constraints and Activity-Based Costing," MPRA Paper, University Library of Munich, Germany.

EcoLur Network (2025). "Shamlugh copper deposit (2007)," https://www.ecolur.org/en/an/shamlugh-copper-deposit/50/

Cowan, E.J. 2014. ‘X-ray Plunge Projection’— Understanding Structural Geology from Grade Data. In AusIMM Monograph 30: Mineral Resource and Ore Reserve Estimation — The AusIMM Guide to Good Practice, second edition, pp. 207–220.

Poniewierski, Julian 2025. "Block Model Knowledge for Mining Engineers - An Introduction", https://www.deswik.com/whitepapers/block-model-knowledge-for-mining-engineers-an-introduction

Mosier, D.L., Berger, V.I., & Singer, D.A. (2009). Volcanogenic massive sulfide deposits of the world; database and grade and tonnage models: U.S. Geological Survey Open-File Report 2009-1034 [https://pubs.usgs.gov/of/2009/1034/].

URI:    https://mpra.ub.uni-muenchen.de/id/eprint/127617
Commentary/Response Threads
Bell, Peter N Mineral exploration as a game of chance. (deposited 06 May 2015 23:04)
Bell, Peter Mining Exploration Business Valuation Simulations with Global VMS Deposits Database. (deposited 19 Oct 2025 18:34)
Bell, Peter Mining Exploration Business Strategy around Logging Roads. (deposited 02 Jan 2026 04:54)