盲源分离技术在化探数据处理中的思考与探索

摘要

Geochemical data processing is important in mineral prediction.The traditional method is based on single ele-ment,and on the assumptions that the geochemical data are normal distribution or lognormal distribution.But in fact the geo-chemical data are so much complicated and nonlinear for the complex geologic origin and process.Only the comprehensive in-structions can effectively reflect the existence of ore body.Blind source separation (BSS)technology can form several independ-ent component from multidimensional signal.So we can extract the element association of ore-caused from the geochemical data to guide the mineral exploration by BSS.The result of analysis for the stream sediments survey data and ore body data in the target area with BBS shows that this method can be used to analyze regional geochemical data and primary halos geochemical da-ta effectively to reflect the location of the mines and to forecast the deep ore bodies.%化探数据处理是矿产预测中的重要环节，传统处理方法基于单因素分析，而且假设化探数据是正态分布或对数正态分布。实际上化探数据由于地质成因与地质过程具有高度复杂性和非线性性，综合性指示才能有效反映出矿体的存在。盲源分离技术可以从多维信号中分解出若干独立成分，因此可以利用盲源分离技术探索从化探数据中提取最易致矿的元素组合来指导矿产勘探。通过对目标区域水系沉积物测量数据和矿体数据的应用分析，可以看出盲源分离技术对区域地球化学数据分析和原生晕地球化学分析具有良好的应用效果，能够反映矿点的分布，可以用于矿体的深部预测。