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Multivariate regression (MVR) mining project cost estimator for future mineral supply scenario modeling

Author

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  • O'Brien, Tim M.
  • Alonso, Elisa
  • McCaffrey, Dalton M.
  • Ryter, John W.

Abstract

Growing demand for various communication, transportation and energy technologies will require a wide range of minerals at quantities that are significantly greater than historical levels. To model future mineral supplies to meet this demand, we developed a new, globally representative, multivariate regression-based (MVR) mining project cost model that can be used to estimate capital expenditures (CAPEX) and operational expenses (OPEX) for 28 mineral commodities that cover the agricultural, energy, infrastructure, and manufacturing industries. These equations utilize common mining project parameters and do not require detailed knowledge of a specific project to estimate costs.

Suggested Citation

  • O'Brien, Tim M. & Alonso, Elisa & McCaffrey, Dalton M. & Ryter, John W., 2025. "Multivariate regression (MVR) mining project cost estimator for future mineral supply scenario modeling," Resources Policy, Elsevier, vol. 109(C).
    • Handle: RePEc:eee:jrpoli:v:109:y:2025:i:c:s0301420725002697
    DOI: 10.1016/j.resourpol.2025.105727
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    References listed on IDEAS

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