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CET - RIO TINTO Data Fusion Projects

Perth, Australia

Four-year $3.6 million research partnership between the GeoData Algorithms Team at  CET and Rio Tinto Iron Ore aims to improve efficiency in modelling geology and resource, through innovative data science solutions. 

 

The partnership involves diverse topics including the development of machine-learning based methods and tools to integrate diverse drillhole data to model stratigraphy, their material compositions and geomechanical proxies for resource evaluation and mining. The research also aims to incorporate advanced machine learning methods to improve certainty in modelling the spatial extent of subsurface geological interfaces. The team will develop image analysis and visualisation methods and tools to assist the interpretation of large volumes of 2D and 3D data from satellites and drones for planning and geological mapping.

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