Stochastic modeling of metallogenic system components: application to the {Waterfound} uranium deposit, {Canada}

Paul Marchal and Guillaume Caumon and Pauline Collon and Christophe Antoine and Patrick Ledru and Kelsey McKee and Julien Mercadier. ( 2025 )
in: 2025 {RING} meeting, pages 270--278, ASGA

Abstract

SalterRING is a stochastic tool for modeling hydrothermal deposits. The underlying principle is to consider the geometric relationship between the morphology of the deposits and significant geological objects (faults, unconformities, petrophysical heterogeneities). These features define a structural skeleton S, which can be used to construct an alteration potential field. The characteristics of the skeleton S are inferred using a Metropolis-Hastings algorithm.

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BibTeX Reference

@inproceedings{Marchal2025RMa,
 abstract = {SalterRING is a stochastic tool for modeling hydrothermal deposits. The underlying principle is to consider the geometric relationship between the morphology of the deposits and significant geological objects (faults, unconformities, petrophysical heterogeneities). These features define a structural skeleton S, which can be used to construct an alteration potential field. The characteristics of the skeleton S are inferred using a Metropolis-Hastings algorithm.},
 author = {Marchal, Paul and Caumon, Guillaume and Collon, Pauline and Antoine, Christophe and Ledru, Patrick and McKee, Kelsey and Mercadier, Julien},
 booktitle = {2025 {RING} meeting},
 language = {en},
 pages = {270--278},
 publisher = {ASGA},
 title = {Stochastic modeling of metallogenic system components: application to the {Waterfound} uranium deposit, {Canada}},
 year = {2025}
}