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Modelling gold potential in the Granites-Tanami Orogen, NT, Australia: A comparative study using continuous and data-driven techniques
Ore Geology Reviews ( IF 3.3 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.oregeorev.2020.103661
Bijan Roshanravan , Oliver P. Kreuzer , Matt Bruce , James Davis , Matt Briggs

Abstract The Granites-Tanami Orogen (GTO), a poorly exposed component of the North Australian Craton, is host to significant Paleoproterozoic orogenic gold mineralization amounting to a total endowment of greater 20 Moz Au. This study adopted a multi-technique approach to mineral potential modelling (MPM) of orogenic gold deposits in the GTO, using four different techniques: Continuous fuzzy gamma, geometric average and data-driven index overlay and data-driven random forest methods. The predictive models generated in this study delivered the first public-domain gold prospectivity maps for the Northern Territory (NT)-portion of the GTO. The predictor maps at the core of these models represent mappable proxies of mineralizing processes believed to have been critical in the formation of the orogenic gold deposits, and were generated in the framework of a mineral systems approach. Normalized density, prediction-area and area under the receiver operating characteristic curve methods were used to test the robustness of these predictors and determine the most effective. The performance of the gold potential models generated in this study was assessed using the improved prediction-area plot procedure, with the data-driven random forest approach having delivered the best performing model. The multi-technique approach taken in this study, in which multiple mineral potential models are generated for the same study area and using the same predictor maps, is a relatively new and, as of yet, underutilized approach to MPM that, in contrast to the standard procedure (i.e., generation of a single data- or knowledge-driven model) ensures optimal utilization of the available conceptual and empirical information, helps to better understand and minimize stochastic and systemic uncertainties, facilitates cross-validation of the resulting prospectivity models, and allows the resulting models to be compared and contrasted. From a practical, exploration point of view, the models served as decision-support tools that helped to improve confidence in targeting underexplored, gold-prospective areas in the GTO more effectively and identify new search areas previously not recognized as areas of high gold potential.

中文翻译:

澳大利亚北领地 Granites-Tanami Orogen 的黄金潜力建模:使用连续和数据驱动技术的比较研究

摘要 花岗岩-塔纳米造山带 (GTO) 是北澳大利亚克拉通的一个暴露不足的组成部分,是重要的古元古代造山金矿化的宿主,总储量超过 20 Moz Au。本研究采用多技术方法对 GTO 中的造山金矿床进行矿物潜力建模 (MPM),使用四种不同的技术:连续模糊伽玛法、几何平均和数据驱动的指数叠加以及数据驱动的随机森林方法。本研究中生成的预测模型为 GTO 的北领地 (NT) 部分提供了第一张公共领域的黄金远景图。这些模型核心的预测图代表了矿化过程的可映射代理,这些过程被认为对造山金矿床的形成至关重要,并且是在矿物系统方法的框架内产生的。使用归一化密度、预测面积和接受者操作特征曲线下的面积方法来测试这些预测因子的稳健性并确定最有效的。本研究中生成的黄金潜力模型的性能使用改进的预测区域绘图程序进行评估,数据驱动的随机森林方法提供了最佳性能的模型。本研究中采用的多技术方法,其中为同一研究区域生成多个矿物潜力模型并使用相同的预测图,是一种相对较新且迄今为止尚未充分利用的 MPM 方法,与标准程序(即 生成单一的数据或知识驱动模型)确保最佳利用可用的概念和经验信息,有助于更好地理解和最小化随机和系统的不确定性,促进所得前景模型的交叉验证,并使所得模型能够进行比较和对比。从实际勘探的角度来看,这些模型充当了决策支持工具,有助于提高对 GTO 中未充分勘探的、有黄金前景的区域的信心,并确定以前未被认为是具有高黄金潜力区域的新搜索区域。并允许对生成的模型进行比较和对比。从实际勘探的角度来看,这些模型充当了决策支持工具,有助于提高对 GTO 中未充分勘探的、有黄金前景的区域的信心,并确定以前未被认为是具有高黄金潜力区域的新搜索区域。并允许对生成的模型进行比较和对比。从实际勘探的角度来看,这些模型充当了决策支持工具,有助于提高对 GTO 中未充分勘探的、有黄金前景的区域的信心,并确定以前未被认为是具有高黄金潜力区域的新搜索区域。
更新日期:2020-10-01
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