copper

Spatio-temporal copper prospectivity in the American Cordillera predicted by positive-unlabeled machine learning

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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…

Future Mining: Travelling through geological time to find copper deposits

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Travel through geological time to find copper deposits via our article in the inaugural issue of the Future Mining Magazine. https://future-mining.partica.online/future-mining/vol-1-no-1/flipbook/60/ Plate reconstructions at 1000, 400, 300, 200, 100 million years ago and at present-day. Ancient ocean basins are shown in white with continents in grey, and coloured arrows showing plate speed and direction. Mid-ocean … Read more…

The Conversation: Travelling through deep time to find copper for a clean energy future

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More than 100 countries, including the United States and members of the European Union, have committed to net-zero carbon emissions by 2050. The world is going to need a lot of metal, particularly copper. Recently, the International Energy Agency sounded the warning bell on the global supply of copper as the most widely used metal in renewable … Read more…

Predicting the emplacement of Cordilleran porphyry copper systems using a spatio-temporal machine learning model

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Porphyry copper (Cu) systems occur along magmatic belts derived in subduction zones. Our current under- standing of their formation is restricted to observations from the overriding plate, resulting in a knowledge gap in terms of processes occurring in convergence zones through time. An association between key tectonic processes and the timing and location of porphyry … Read more…