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Absolute Prospectivity

Niall Tomlinson - December 18, 2025

This challenge is best addressed through the development of an absolute prospectivity model that quantifies the estimated probability of undiscovered mineralisation at the cell level.

TAGS: Bayesian models, exploration maturity, target ranking, exploration capital allocation
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Discovery at Depth: Modern Workflow for Mineral Exploration Beneath Surface Cover

Oliver Bayley - December 18, 2025

Updating models is key to ultimate success, and an ongoing cycle of mapping, modelling, predicting, and validating ensures that interpretations remain grounded in reality—even as exploration pushes into deeper terranes.

TAGS: geological model, field mapping, deposit mineral systems, machine learning
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Complimentary Approaches to Mineral Prospectivity Mapping

Daniel Marsh - December 18, 2025

For prospectivity analysis, SRK typically uses a hybrid approach or develops both model types for comparison. The approaches are considered complementary, as demonstrated in a recent prospectivity- mapping project across Western Australia (WA).

TAGS: Data-driven models, machine-learning algorithm, mineral-system model, lithium-caesium-tantalum pegmatites
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Integrating Feature Engineering with Mineral Systems for Data-Driven Targeting

Atree Bandyopadhyay - December 18, 2025

Feature engineering guided by geology is a key step in applying machine learning to mineral exploration.

TAGS: machine learning models, prospectivity analysis, Southern India, remote sensing data
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An Updated Appraisal of the Mineral Prospectivity of the Arabian Shield

James Davey - December 18, 2025

The study provided a revised interpretation of the Arabian Shield’s geological history, integrating multidisciplinary datasets and expert knowledge.

TAGS: geophysical data processing, geodynamic framework, exploration targets, Saudi Arabia
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