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

Nadia Mery, 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
OAI:
oai:publications.polymtl.ca:50450
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Date Deposited:
18 Apr 2023 14:59
Last Modified:
14 Oct 2026 14:06
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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