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首页> 外文期刊>Journal of Geochemical Exploration: Journal of the Association of Exploration Geochemists >Delineation of alteration zones based on Sequential Gaussian Simulation and concentration-volume fractal modeling in the hypogene zone of Sungun copper deposit, NW Iran
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Delineation of alteration zones based on Sequential Gaussian Simulation and concentration-volume fractal modeling in the hypogene zone of Sungun copper deposit, NW Iran

机译：基于顺序高斯模拟和伊朗西北部Sungun铜矿床次生区浓度-体积分形模型的蚀变区划定

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The main aim of this study is the identification of potassic, phyllic and propylitic alteration zones in the hypogene zone of the Sungun Cu porphyry deposit (NW Iran) based on drillcore data, utilizing sequential geostatistical simulation (SGS) and concentration-volume (C-V) fractal model. C-V log-log plots were generated for the results obtained by 10 realizations and the average of those realizations (E-type) which was used for the determination of Cu threshold values for the alteration zones. Based on correlation between geological models and the results derived via SGS and C-V fractal modeling by log ratio matrix, the propylitic zone has Cu values <0.005% as a result of simulation numbers (sims) 1,5 and 9 with overall accuracy (OA) of 0.94. Additionally, the phyllic alteration contents of Cu values between 0.25% and 0.63% with OA of 0.70 are delineated by E-type. Moreover, a correlation between C-V fractal modeling of realizations and the potassic alteration zone derived via the geological model reveals that this alteration zone has Cu values higher than 2.23% (sims 1,5 and 9) with OA of 0.816. The results of this research reveal that phyllic alteration due to having many existing geological samples with the grades close to the average ore grade (0.44%) of the Sungun deposit has a proper overlap with E-type; however, potassic and propylitic alterations containing the highest and lowest ore grades have a strong overlap with sims 1,5 and 9.
机译：这项研究的主要目的是利用钻探数据，利用连续地统计模拟（SGS）和浓度-体积（CV），在Sungun Cu斑岩矿床（伊朗西北部）的次生带中识别钾，叶，丙质蚀变带。分形模型。为通过10个实现获得的结果生成C-V对数对数图，并将这些实现的平均值（E型）用于确定蚀变区的Cu阈值。根据地质模型之间的相关性以及通过对数比矩阵通过SGS和CV分形建模得出的结果，由于模拟数（sims）1,5和9的总体准确度（OA），亚丙基区的Cu值<0.005％为0.94。另外，E-型描述了Cu值为0.25％至0.63％且OA为0.70时的根系变化含量。此外，实现的C-V分形模型与通过地质模型得出的钾质蚀变带之间的相关性表明，该蚀变带的Cu值高于2.23％（模拟1.5和9），OA为0.816。这项研究的结果表明，由于有许多现有的地质样品，其品位接近Sungun矿床的平均矿石品位（0.44％），因此发生了蚀变。但是，含最高和最低矿石品位的钾和粉质蚀变与模拟1,5和9有很强的重叠性。

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