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滇东地区是我国Cu-Au-PGE重要的成矿远景区.采用因子分析、地质统计学和多重分形S-A滤波等方法对滇东地区复杂地质背景下的不同层次的Pt-Cu-Au矿化异常进行定量提取与评价.结果表明:(1)因子分析结果揭示滇东地区存在3种元素组合①Cu-Pd-Co-Pt-V-Cr-Ni、②Sb-As-U-Mo、③Pb-Ag-Zn-W-Sn-As-Au,它们分别代表了位于扬子地块的二叠纪峨嵋山玄武岩、位于华南褶皱系含碳质的沉积建造和以有色金属矿化为代表的热液矿化元素组合特征;(2)变差函数分析表明Pt、Cu、Au含量在NE向(9°～18.6°)上变化最连续,元素含量变化的最大变程范围约95km;泛克里格法揭示了Pt、Cu、Au含量在区域上变化具有明显的裂控-岩控特征;(3)多重分形滤波法则细致地刻画了滇东地区与矿化有关的局部异常特征,有效地提取了Pt、Cu、Au隐蔽矿化异常信息,其结果可作为圈定Pt-Cu-Au找矿靶区的重要依据;(4)不同的数学方法可用以解决不同层次的地质成矿问题,因子分析和地质统计学等线性方法可研究区域成矿地质背景、揭示成矿元素及其元素组合在区域上的空间变化特征,而S-A滤波等非线性方法能够有效提取深层次局部矿化异常信息.
East Yunnan is an important metallogenic prospect of Cu-Au-PGE in China.Using the methods of factor analysis, geostatistics and multifractal SA filtering, the different levels of Pt-Cu-Au mineralization in the complex geological background of eastern Yunnan (1) The results of factor analysis revealed that there are three kinds of element combinations in the East Yunnan: ①Cu-Pd-Co-Pt-V-Cr-Ni, ②Sb-As-U-Mo, ③Pb-Ag -Zn-W-Sn-As-Au, which represent the Permian Bashangites in the Permian in the Yangtze block. They are located in the sedimentary-carbonaceous depositional structures of the Cretaceous in South China and hydrothermal mineralization represented by the non-ferrous mineralization (2) The analysis of variation function shows that the content of Pt, Cu and Au changes most continuously in the NE direction (9 ° ~ 18.6 °), and the range of the maximum variation of elemental content is about 95 km. (3) The multi-fractal filtering method has finely characterized the local anomalies related to mineralization in eastern Yunnan and effectively extracted Pt, Cu and Au. Cu and Au hidden mineralization anomaly information, the result can be used as an important basis for delineating the target area of Pt-Cu-Au prospecting; (4) Different numbers The method can be used to solve the problems of geologic mineralization at different levels. The linear analysis of factors such as factor analysis and geostatistics can study the regional metallogenic geological background and reveal the spatial variation characteristics of metallogenic elements and their elemental assemblages in the area. SA filtering, etc. Nonlinear method can effectively extract deep-level local mineralization anomalies.