Modeling conceptual geological representations of unconformity-related uranium deposits using a unified workflow.
in: 2026 {RING} meeting, pages 108--125, ASGA
Abstract
Unconformity-related uranium ore deposits are complex hydrothermal systems where structural networks control host-rock alteration by channeling hydrothermal fluid circulations. Exploration campaigns on such objects mainly rely on drilling, providing sparse geological datasets and leaving significant room for interpretation. In this context, the interpretation of how individual structural features control orebody geometry has been shown to depend heavily on expert knowledge and prior experience. A recent study carried out on conceptual variations on the geometry of uranium deposits showed that, given the same drilling dataset, experts can propose markedly different models of structural control. The objective of our study is to reflect the diversity of conceptual representations produced by different interpreters on the same dataset using SalterRING, an object-oriented numerical simulation tool. It jointly models alteration halos and their geological controls using a Metropolis-Hastings sampler. In this updated version, we explicitly incorporate expert-driven hypotheses on structural control by introducing a weighting parameter that quantifies the relative contribution of faults and unconformities in controlling orebody geometry. This method allows competing structural control models to be quantitatively tested within a probabilistic framework. This framework provides a quantitative way to assess conceptual uncertainty in uranium deposit modeling.
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BibTeX Reference
@inproceedings{Sarrette2026RM,
abstract = {Unconformity-related uranium ore deposits are complex hydrothermal systems where structural networks control host-rock alteration by channeling hydrothermal fluid circulations. Exploration campaigns on such objects mainly rely on drilling, providing sparse geological datasets and leaving significant room for interpretation. In this context, the interpretation of how individual structural features control orebody geometry has been shown to depend heavily on expert knowledge and prior experience. A recent study carried out on conceptual variations on the geometry of uranium deposits showed that, given the same drilling dataset, experts can propose markedly different models of structural control. The objective of our study is to reflect the diversity of conceptual representations produced by different interpreters on the same dataset using SalterRING, an object-oriented numerical simulation tool. It jointly models alteration halos and their geological controls using a Metropolis-Hastings sampler. In this updated version, we explicitly incorporate expert-driven hypotheses on structural control by introducing a weighting parameter that quantifies the relative contribution of faults and unconformities in controlling orebody geometry. This method allows competing structural control models to be quantitatively tested within a probabilistic framework. This framework provides a quantitative way to assess conceptual uncertainty in uranium deposit modeling.},
author = {Sarrette, Emma and Marchal, Paul and Caumon, Guillaume and Collon, Pauline},
booktitle = {2026 {RING} meeting},
language = {en},
pages = {108--125},
publisher = {ASGA},
title = {Modeling conceptual geological representations of unconformity-related uranium deposits using a unified workflow.},
year = {2026}
}
