Machine learning framework for prospectivity mapping of Cu–Au porphyry mineralisation in the Lachlan Fold Belt, eastern Australia

Map of NSW showing tectonic provinces, porphyry tracts, and major porphyry deposits including Northparkes and Cadia.

Researchers developed a machine learning framework to predict where copper–gold porphyry deposits are likely to occur in the Lachlan Fold Belt of New South Wales, Australia. By combining geological, geophysical and remote sensing data with a positive-unlabelled bagging and random forest approach, the model successfully captures 95% of known mineral occurrences within just 5% of … Read more…

Lateritic Ni-Co prospectivity modelling in eastern Australia using an enhanced generative adversarial network and positive-unlabelled bagging

The surging demand for nickel (Ni) and cobalt (Co), driven by the acceleration of clean energy transitions, has sparked interest in the Lachlan Orogen of New South Wales for its potential lateritic Ni-Co resources. Despite recent discoveries, a substantial knowledge gap exists in understanding the full scope of these critical metals in this geological province. … Read more…