The University of Sydney’s Net Zero Institute has just released their White Paper on Critical Minerals & Materials. It represents a massive collaborative effort of over 50 colleagues from the University and international partners. The EarthByte Group has made a contribution to it with an outline of AI-powered mineral prospectivity mapping, particularly applied to copper … Read more…
Porphyry copper deposits contain the majority of the world’s discovered mineable reserves of copper. While these deposits are known to form in magmatic arcs along subduction zones, the precise contributions of different factors in the subducting and overriding plates to this process are not well constrained, making predictive prospectivity mapping difficult. Empirical machine learning-based approaches … Read more…
In the recent Exploration in the House event at Parliament House in Sydney Dietmar provided an overview of the use of generative AI for assessing copper, nickel and cobalt prospectivity in the Lachlan fold belt, based on the Honours thesis of Nathan Wake, and work by Ehsan Farahbakhsh and Vera Nolte-Wilson. The event also featured … Read more…