Assessment of Recoverable Resource Uncertainty in Multivariate Deposits Through a Simple Machine Learning Technique Trained Using Geostatistical Simulations

Nadia Mery and Denis Marcotte

Article (2022)

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Department:	Department of Civil, Geological and Mining Engineering
PolyPublie URL:	https://publications.polymtl.ca/50450/
Journal Title:	Natural Resources Research (vol. 31, no. 2)
Publisher:	Springer-Verlag
DOI:	10.1007/s11053-022-10028-9
Official URL:	https://doi.org/10.1007/s11053-022-10028-9
Date Deposited:	18 Apr 2023 14:59
Last Modified:	08 Apr 2025 07:18

Cite in APA 7:	Mery, N., & Marcotte, D. (2022). Assessment of Recoverable Resource Uncertainty in Multivariate Deposits Through a Simple Machine Learning Technique Trained Using Geostatistical Simulations. Natural Resources Research, 31(2), 767-783. https://doi.org/10.1007/s11053-022-10028-9
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