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papersSEP 10 04:00 UTC

Bayesian deep learning predicts 3D copper mineralization and drill targets at Rudny Altai

Researchers present an uncertainty-aware workflow that fuses geophysical inversion results with drilling data via Bayesian deep learning to model copper mineralization in three dimensions. Applied to the Kogodai prospect in the Rudny Altai region, the method quantifies prediction uncertainty to help prioritize exploration drilling in structurally complex terrain where sampling is sparse.

Bayesian deep learning copper mineralization drill targets geophysical inversion mineral exploration uncertainty-quantification

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arXiv cs.LGBayesian deep learning integration of geophysical and drilling data for 3D prediction of copper mineralization and drill targeting: a case study from the Kogodai prospect, Rudny Altai ↗SEP 10 04:00 UTC