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Centre for Data-driven Geoscience (CDG)

CDG develops and deploys data science solutions for the modelling of geology and resource.

Researchers at CDG spans the boundaries of computer science and geoscience, and links industry and academia. By working closely with the mining industry, CDG develops advanced machine learning, image analysis and interactive visualisation methods, which are deployed to industry practice. The team’s research achieved global research impact through commercialisation of three geodata analytics methods, a public domain GIS-based data integration platform and two recent industry-driven patent applications. Commercialised products include three suites of geodata analytics algorithms were commercialised in partnership with the world’s leading software vendors, namely CET Grid Analysis and CET Porphyry Detection extensions for Seequent’s Oasis Montaj, in partnership with Seequent; and Image Structure and Interpretation module for Advanced Logic Technology (ALT)’s WellCAD, in partnership with ALT. Recent patent applications are based on methods to assist the validation and interpretation of multi-modal drillhole data using machine learning to improve efficiency and consistency in geological interpretation within the mining workflow.

Key Contact: Professor Eun-Jung Holden

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