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

Crossref DOI link: https://doi.org/10.1007/s11053-022-10028-9

Published Online: 2022-03-07

Published Print: 2022-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mery, Nadia http://orcid.org/0000-0001-9991-0597
Marcotte, Denis
Funding

Funding for this research was provided by:

National Agency for Research and Development of Chile (72180581)

Quebec’s Merit Scholarship Program for Foreign Students (0000274857)

Polytechnique Montréal

National Research Council (RGPIN-2015-06653)
License Information

Text and Data Mining valid from 2022-03-07

Version of Record valid from 2022-03-07
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Article History

Received: 18 November 2021

Accepted: 2 February 2022

First Online: 7 March 2022

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work presented in this manuscript.

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