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  • No abstract available

  • The physical properties of non-porous basement rocks are directly related to the mineralogy of those rocks. The MineralMapper3D software package originally developed by Nick Williams at the Predictive Mineral Discovery Cooperative Research Centre (pmd*CRC), Geoscience Australia, uses the physical properties of minerals to provide bounds on estimates of the abundance of specified minerals in non-porous basement rocks. This approach is applicable to both estimates of density and magnetic susceptibility derived from 3D inversions of gravity and magnetic data as well as physical measurements on specimens or down-hole derived physical properties.

  • GA's 3D DataViewer, built off GA's EarthSci platform.

  • Airborne Electromagnetic data are being acquired by Geoscience Australia in areas considered to have potential for uranium or thorium mineralisation under the Australian Government's Onshore Energy Security Program (OESP). The surveys have been managed and interpreted by Geoscience Australia's Airborne Electromagnetic Acquisition and Interpretation project. In contrast to industry style deposit scale investigations, these surveys are designed to reveal new geological information at regional scale. The Frome Embayment AEM survey was acquired using the TEMPESTTM AEM system by Fugro Airborne Surveys under contract to GA. The survey covers a total of 32 300 line km and an area of 95 450 km2, the largest AEM survey by area ever flown in Australia. This data release contains the Phase-1 data, that is, contractor quality-controlled and quality-assessed data fas well as the Phase-2 data, that is Geoscience Australia layered earth inversion (GA-LEI) data and derived products for the Callabonna Uranium Infill Area. The data and products described in this report are available from the GA AEM website.

  • This is a CD rom that enables users to obtain relevant information on how to invest in mineral exploration within Australia.

  • Generic Geoscience Australia, web based, external database entry kit

  • Python code for running resistor network models to relate permeability and electrical resistivity

  • EarthSci data viewer