Geostatistical Study of Airborne Geophysical Data of the Tiouit Mining Area (Eastern Anti-Atlas, Morocco)

A. Miftah, D. E. Azzab, Ahmed Attou, A. Manar
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引用次数: 1

Abstract

: The main objective of the present work is to use principal component analysis (PCA) on the various airborne geophysical data, including gamma-ray spectrometry (concentrations of radioactive elements 40 K and 232 Th), magnetism (magnetization contrast due to magnetic susceptibility), and electromagnetism (apparent electrical resistivity) to describe the physicochemical behavior of the mining zones in operation as well as to prospect other zones favorable for exploration. This data's geostatistical study highlights the adequate principal component (PC) to visualize these geophysical variables. We chose PC4 to visualize the zones favorable for mining concentration because it describes the same physical and chemical characteristics represented by the Tiouit alteration zone. The collection and X-ray fluorescence analysis of 32 samples in the field yielded high grades of Arsenic (24 g/t), Copper (5.87%), Iron (19.30 %), Lead (5.70%), and Zinc (8.85%).
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摩洛哥Tiouit矿区航空地球物理资料的地质统计学研究
当前工作的主要目的是利用主成分分析(PCA)对各种航空地球物理数据,包括伽马射线能谱(放射性元素40k和232th的浓度)、磁学(磁化率引起的磁化对比)和电磁学(视电阻率)来描述正在运行的矿区的物理化学行为,并展望其他有利的勘探区。该数据的地质统计学研究强调了充分的主成分(PC)来可视化这些地球物理变量。我们选择PC4来可视化有利于采矿集中的带,因为它描述了与Tiouit蚀变带相同的物理和化学特征。对32个样品的采集和x射线荧光分析表明,砷(24 g/t)、铜(5.87%)、铁(19.30%)、铅(5.70%)和锌(8.85%)的品位较高。
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