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.