Mineral systems approach applied to GIS-based 2D-prospectivity modelling of geological regions: Insights from Western Australia |
| |
| Institution: | 1. Centre for Exploration Targeting and Australian Research Council Centre of Excellence for Core to Crust Fluid Systems, School of Earth and Environment, The University of Western Australia, 6009 Australia;2. Aurora Australis GeoConsulting, 435 Hay Street, Subiaco 6008, WA, Australia;3. Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India;1. Geological Survey of Western Australia, 100 Plain Street, East Perth, WA 6004, Australia;2. School of Geosciences, Monash University, Wellington Road, Clayton, Victoria 3800, Australia;3. Centre for Exploration Targeting, School of Earth and Environment, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia;4. Department of Geosciences, University of Oulu, Linnanmaa, Oulu 90014, Finland;1. School of Earth and Oceans, James Cook University, Townsville 4811, Queensland, Australia;2. International Rice Research Institute, Los Baños 4030, Laguna, Philippines;1. Kenex Limited, PO Box 41136, Eastbourne, Wellington 5047, New Zealand;2. Dampier Gold Limited, PO Box 1981, West Perth, Western Australia, 6872, 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;1. Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, Powai, 400076, India;2. Centre for Exploration Targeting, University of Western Australia, Crawley, 6009 WA, Australia;3. Corporate Geoscience Group, PO Box 5128, Rockingham Beach, WA 6969, Australia;4. Economic Geology Research Centre, James Cook University, Townsville, QLD 4811, Australia;1. Geological Survey of Western Australia, 100 Plain St, East Perth, WA 6004, Australia;2. Centre for Tectonics, Resources and eXploration (TRaX), School of Earth and Environmental Sciences, The University of Adelaide, Adelaide, SA 5005, Australia;3. Centre for Exploration Targeting, University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia;4. School of Earth and Ocean Sciences, Cardiff University, Cardiff, Wales, CF10 3XQ, United Kingdom |
| |
| Abstract: | GIS-based 2D prospectivity modelling of three greenfield geological regions of Western Australia, namely, the West Arunta Orogen, West Musgrave Orogen and Gascoyne Province, was implemented for a range of deposit types including orogenic and intrusion-related gold, volcanic sediment-hosted base-metal sulfides, magmatic nickel–copper and magmatic platinum group element sulfides, iron-oxide copper gold, tin–tungsten, igneous and metamorphic related rare earth elements, surficial uranium and unconformity-related uranium.Conceptual mineral systems models were generated to identify the targeting criteria. The inputs to the models were the spatial proxies derived from 1:100,000 to 1:500,000 scale public domain data. The results showed similar prospectivity patterns for all of the targeted deposit types except sediment-hosted uranium and surficial uranium deposit types. Once a favourable geodynamic architecture is established, it can sustain different mineral systems and produce diverse deposit types depending on the nature of ligands in the source regions and physical–chemical environment in the trap regions through repeated reactivation in the subsequent geological history. A model is proposed to explain the formation of different deposit types at different stages of tectonic evolution of a province. The implication for GIS-based 2D prospectivity modelling at the scale of geological region is that the prospectivity model may not be deposit type specific. Further, prospectivity modelling should be carried out sequentially at progressively finer scales (regional- to district- to camp-scale), using only the targeting criteria that are relevant at the specific scale to delineate targets for specific deposit types. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
