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

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

Resources Policy, 2025, vol. 109, issue C

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.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420725002697
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:109:y:2025:i:c:s0301420725002697

DOI: 10.1016/j.resourpol.2025.105727

Access Statistics for this article

Resources Policy is currently edited by R. G. Eggert

More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().