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首页> 外文期刊>Nonlinear processes in geophysics >Application of fractal models to delineate mineralized zones in the Pulang porphyry copper deposit, Yunnan, southwestern China
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Application of fractal models to delineate mineralized zones in the Pulang porphyry copper deposit, Yunnan, southwestern China

机译：分形模型在中国西南部云南云南省云南铜矿矿化区的应用

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The aim of this study is to delineate and identify various mineralized zones and barren host rocks based on surface and subsurface lithogeochemical data from the Pulang porphyry copper deposit, southwestern China, utilizing the number–size (N-S), concentration–volume (C-V) and power-spectrum–volume (S-V) fractal models. The N-S model reveals three mineralized zones characterized by Cu thresholds of 0.28 % and 1.45 %: 0.28 % Cu represents weakly mineralized zones and barren host rocks, 0.28 %–1.45 % Cu represents moderately mineralized zones, and  1.45 % Cu represents highly mineralized zones. The results obtained by the C-V model depict four geochemical zones defined by Cu thresholds of 0.25 %, 1.48 % and 1.88 %, representing nonmineralized wall rocks (Cu0.25 %), weakly mineralized zones (0.25 %–1.48 %), moderately mineralized zones (1.48 %–1.88 %) and highly mineralized zones (Cu1.88 %). The S-V model is used by performing a 3-D fast Fourier transformation of assay data in the frequency domain. The S-V model reveals three mineralized zones characterized by Cu thresholds of 0.23 % and 1.33 %: 0.23 % Cu represents leached zones and barren host rocks, 0.23 %–1.33 % Cu represents hypogene zones, and 1.33 % Cu represents supergene enrichment zones. All the multifractal models indicate that high-grade mineralization occurs in the central and southern parts of the ore deposit. Their results are compared with the alteration and mineralogical models resulting from the 3-D geological model using a log-ratio matrix. The results show that the S-V model is best at identifying highly mineralized zones in the deposit. However, the results of the C-V model for moderately and weakly mineralized zones are also more accurate than those obtained from the N-S and S-V models.
机译：本研究的目的是基于来自中国西南部的Pulang斑岩铜矿床，利用数量（NS），集中体积（CV）和群体基于地面和地下岩石地球化学数据来描绘并识别各种矿化区和贫瘠主体岩石。功率谱 - 体积（SV）分形模型。 NS模型揭示了三种以0.28％的Cu阈值为特征的三种矿化区，0.28％和1.45％：<0.28％Cu代表弱矿化区和贫瘠宿主岩，0.28％-1.45％Cu代表中度矿化区，> 1.45％Cu代表高度矿化区域。通过CV模型获得的结果描述了由Cu阈值定义的四个地球化学区0.25％，1.48％和1.88％，代表非崩壁岩石（Cu <0.25％），弱矿化区（0.25％-1.48％），适度的矿化区（1.48％-1.88％）和高矿化区（Cu> 1.88％）。通过执行频域中的测定数据的3-D快速傅里叶变换来使用S-V型号。 S-V型揭示了三种矿化区，其特征在于0.23％的Cu阈值，0.23％，1.33％：<0.23％Cu代表浸出的区域和贫瘠宿主岩，0.23％-1.33％Cu代表低原酮，> 1.33％Cu代表纯富集区。所有多重型模型表明，高档矿化发生在矿床的中央和南部。将结果与使用对数矩阵的三维地质模型产生的改变和矿物学模型进行比较。结果表明，S-V型号最适合识别矿床中的高度矿化区。然而，对于来自N-S和S-V型号的C-V型矿化区的C-V型型号的结果也更准确。

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