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Numerical Simulation Based Targeting of the Magushan Skarn Cu–Mo Deposit, Middle-Lower Yangtze Metallogenic Belt, China

机译:长江中下游成矿带玛格山矽卡岩铜钼矿床找矿目标的数值模拟

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The Magushan Cu–Mo deposit is a skarn deposit within the Nanling–Xuancheng mining district of the Middle-Lower Yangtze River Metallogenic Belt (MLYRMB), China. This study presents the results of a new numerical simulation that models the ore-forming processes that generated the Magushan deposit and enables the identification of unexplored areas that have significant exploration potential under areas covered by thick sedimentary sequences that cannot be easily explored using traditional methods. This study outlines the practical value of numerical simulation in determining the processes that operate during mineral deposit formation and how this knowledge can be used to enhance exploration targeting in areas of known mineralization. Our simulation also links multiple subdisciplines such as heat transfer, pressure, fluid flow, chemical reactions, and material migration. Our simulation allows the modeling of the formation and distribution of garnet, a gangue mineral commonly found within skarn deposits (including within the Magushan deposit). The modeled distribution of garnet matches the distribution of known mineralization as well as delineating areas that may well contain high garnet abundances within and around a concealed intrusion, indicating this area should be considered a prospective target during future mineral exploration. Overall, our study indicates that this type of numerical simulation-based approach to prospectivity modeling is both effective and economical and should be considered an additional tool for future mineral exploration to reduce exploration risks when targeting mineralization in areas with thick and unprospective sedimentary cover sequences.
机译:玛格山铜钼矿床是中国长江中下游成矿带(MLYRMB)南岭至宣城矿区的矽卡岩型矿床。这项研究提出了一个新的数值模拟的结果,该数值模拟了生成马格山矿床的成矿过程,并能够识别在厚沉积序列覆盖的区域下具有重大勘探潜力的未勘探区域,而这些沉积层是传统方法无法轻易勘探的。这项研究概述了数值模拟在确定矿床形成过程中的实用价值,以及如何将这些知识用于增强已知矿化地区的勘探目标。我们的模拟还链接了多个子学科,例如传热,压力,流体流动,化学反应和材料迁移。我们的模拟可以对石榴石的形成和分布进行建模,石榴石是一种在矽卡岩矿床(包括玛格山矿床)中常见的脉石矿物。石榴石的模型分布与已知矿化的分布相匹配,并勾勒出可能在隐蔽侵入体内和周围富含石榴石丰度的区域,这表明该区域应被视为未来矿产勘探的预期目标。总体而言,我们的研究表明,这种基于数值模拟的前瞻性建模方法既有效又经济,应被视为将来的矿物勘探的另一种工具,以减少针对具有厚实和未预期沉积层序的矿化时的勘探风险。

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