Regional prospectivity analysis for hydrothermal-remobilised nickel mineral systems in western Victoria,Australia |
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| Institution: | 1. Faculty of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran;2. Faculty of Engineering, Malayer University, Malayer, Iran;3. Mineral Resource Department, Geological Survey of Sweden, Uppsala, Sweden;1. CSRE, Indian Institute of Technology Bombay, Powai, 400076 Mumbai India;2. Centre for Exploration Targeting, University of Western Australia, Crawley 6009, WA, Australia;3. Department of Earth and Oceans, James Cook University, Townsville, Queensland, Australia;1. Geoscience Australia, GPO Box 378, Canberra, ACT 2601, Australia;2. Research School of Earth Sciences, Australian National University, Building 142, Mills Road, Acton, ACT 2601, Australia;3. Centre for Exploration Targeting, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia;4. Centre for Exploration Targeting, School of Earth and Environment, ARC Centre of Excellence for Core to Crust Fluid Systems, The University of Western Australia, 35 Stirling Highway, 6009 Crawley, Perth, Western Australia, Australia;5. Geological Survey of Victoria, GPO Box 4509 Melbourne, VIC 3001, Australia |
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| Abstract: | Fuzzy logic mineral prospectivity modelling was performed to identify camp-scale areas in western Victoria with an elevated potential for hydrothermal-remobilised nickel mineralisation. This prospectivity analysis was based on a conceptual mineral system model defined for a group of hydrothermal nickel deposits geologically similar to the Avebury deposit in Tasmania. The critical components of the conceptual model were translated into regional spatial predictor maps combined using a fuzzy inference system. Applying additional criteria of land use restrictions and depth of post-mineralisation cover, downgrading the exploration potential of the areas within national parks or with thick barren cover, allowed the identification of just a few potentially viable exploration targets, in the south of the Grampians-Stavely and Glenelg zones. Uncertainties of geological interpretations and parameters of the conceptual mineral system model were explicitly defined and propagated to the final prospectivity model by applying Monte Carlo simulations to the fuzzy inference system. Modelling uncertainty provides additional information which can assist in a further risk analysis for exploration decision making. |
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