Dr Sara Moron-Polanco

Predicting the preservation of buried ore deposits using deep-­ time landscape evolution modeling

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    Porphyry copper discoveries are declining despite rising demand to meet net-zero targets, highlighting the need for innovative exploration strategies. While many advances have focused on ore formation at depth, a major challenge remains in understanding how erosion and uplift over millions of years affect deposit preservation. These post-mineralisation processes determine whether porphyry systems … Read more…

Machine Learning-Based Spatio-Temporal Prospectivity Modeling of Porphyry Systems in the New Guinea and Solomon Islands Region

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Abstract. The discovery of new economic copper deposits is critical for the development of renewable energy infrastructure and zero-emissions transport. The majority of existing copper mines are located within current or extinct continental arc systems, but our understanding of the tectonic and geodynamic conditions favoring the formation of porphyry systems is still incomplete. Traditionally, exploration … Read more…