Regional prospectivity analysis for hydrothermal-remobilised nickel mineral systems in western Victoria, Australia

被引:56
|
作者
Lisitsin, V. A. [1 ,2 ]
Gonzalez-Alvarez, I. [1 ,3 ]
Porwal, A. [1 ,4 ]
机构
[1] Univ Western Australia, Ctr Explorat Targeting, Sch Earth & Environm, Crawley, WA 6009, Australia
[2] Geol Survey Queensland, City East, Qld 4002, Australia
[3] CSIRO, Earth Sci & Resource Engn, Minerals Flagship, Discovery Theme, Kensington, WA 6151, Australia
[4] Indian Inst Technol, Ctr Studies Resources Engn, Bombay 400076, Maharashtra, India
关键词
Prospectivity analysis; Fuzzy logic; Uncertainty; Monte Carlo simulation; Hydrothermal nickel; Avebury; MO-PGE-AU; CAMBRIAN BLACK SHALES; CU-ZN DEPOSIT; BOU-AZZER; CARBONACEOUS SHALE; SOUTH CHINA; ANTI-ATLAS; NI; ORES; COBALT;
D O I
10.1016/j.oregeorev.2012.04.001
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
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. Crown Copyright (C) 2012 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:100 / 112
页数:13
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