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Geophyics Integrated Data Analysis

Major Initiatives

ARC Industrial Transformation Training Centre for Data Analytics for Resources and Environments (DARE)

NSW, Australia

The ARC Industrial Transformation Training Centre for Data Analytics for Resources and Environments (DARE) will develop and deliver the data science skills and tools for Australia’s natural resource industries and managers; to be expert users of data and models; to quantify, explain and understand uncertainty; and to make the best possible evidence-based decisions in exploiting and stewarding the nations’ natural resources and environment. The DARE Centre is a collaborative research centre led by the University of Sydney in partnership with the University of New South Wales and the University of Western Australia and funded under a five-year grant from the Australian Research Council in partnership with industry and government. Our Partner Organisations represent some of Australia’s leading organisations directly involved in natural resource use and management.

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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.

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Geodynamics through time: Geodynamic, lithospheric and crustal-scale controls on multi-stage basin evolution and orogenesis and links to mineralising processes

Paterson Basins, Australia

The Paterson Basins project is a new 4 year study being led by Winthrop Professor Mark Jessell and Research Assistant Professor Weronika Gorczyk. This project will use an integrated basin studies approach combining interpretation of multiple regional data sets (e.g. new seismic reflection, drill core, gravity, magnetics) with numerical modelling to investigate multi-scale (lithospheric and crustal) and multi-stage deformation processes. These will provide insight into the link between basement and basin evolution, and subsequent mineralisation processes. The ‘natural laboratory’ used for this study is primarily the Paterson Orogen, in central Western Australia.

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Geophysical Studies of Mineralised Terrains in Western Australia

Western Australia

State-of-the-art methods for regional exploration targeting place much emphasis on mapping major structures, in particular suture zones between major crustal blocks, in the deep crust and mantle.

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Integrated Exploration Platform

Western Australia

Integrated Exploration Platform (IEP) is a GIS based data analytics platform (currently, as a module for ArcGIS) to support mineral explorers operating in Western Australia.

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WA_In3D

Western Australia

The WA_In3D project will reduce geological risk by building 3D models constrained by the complete geological database, providing a vastly expanded predictive capacity. These new methodologies will provide for integrated inversion, incorporating uncertainties in exploration datasets using geological misfit functions. This will allow sensitivity analyses to be applied to models to prioritise targets for future data acquisition, further reducing exploration risk.

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Research Projects

Automated Televiewer Image Analysis

Western Australia

Televiewer datasets, acoustic and optical, provide ‘pictures’ of the wall of a drillhole.

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CET Grid Analysis Extension

Western Australia

This research focuses on getting detailed information out of geoscientific data efficiently and objectively.

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Colour Maps with Uniform Perceptual Contrast

Western Australia

Colourmaps with Uniform Perceptual Contrast

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Development of an automated image analysis method for sedimentary grain size distribution estimation - a feasibility study

Western Australia

Estimation of sedimentary rock grain size distributions in drill core is a task routinely performed by geologists to log changes to the size and sorting of the sedimentary rock grains. This information is valuable for interpreting the primary depositional processes responsible for the emplacement of sediment, their likely geometry and resultant (measureable) flow properties.

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