核主成分分析在三维综合信息成矿预测中的应用研究
首发时间:2016-07-13
摘要:三维综合信息成矿预测是深部成矿预测的关键技术之一。本文以湖北省铜绿山铜铁矿为研究区,在收集勘探和生产基础资料基础上,对地质、化探等多元找矿信息进行有效提取,并对提取的11个控矿因素进行定量化研究,同时,构建研究区三维地质体模型,在此基础上,结合核主成分建立研究区三维成矿预测地质找矿模型,通过对划分的15个预测单元进行分析,预测单元1,2,3,4,11,14号的成矿有利度最高,与后期勘探验证结果进行对比,预测结果与实际情况较吻合。应用结果表明,通过本文所建立的三维成矿预测地质找矿模型可以有效实现隐伏矿体的定位预测。
关键词: 数学地质 铜绿山铜铁矿 核主成分 三维成矿预测 隐伏矿体
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Metallogenic prediction of three-dimensional comprehensive Information based on kernel principal component analysis
Abstract:Three-dimensional comprehensive information is one of the key technique to three-dimensional metallogenic prediction. In this paper, the author taked the Tonglushan Copper Iron Mine in Hubei Province as the study area. Based on studying on the data of actual exploration and production and summaring of metallogenic regularity, the author carried out the quantitative study on the exacted of the 11 ore-controlling from geological and geochemical prospecting information. At the same time, three-dimensional geological model was build. On this basis, 3D geological prospecting model was build combined with kernel principal component analysis. Mineralization favorable degrees of prediction 1, 2, 3, 4, 11 and 14 unit were highest through analyzing the 15 prediction units divided. The predicting results were highly tallies with the actual data contrasted with the proepecting results. The application results showed that it was effectively realized to locate the concealed ore bodies by the 3D metallogenic prediction model established in this paper.
Keywords: Mathematical Geology Tonglushan Copper Iron Kernel Principal Component Analysis 3D Metallogenic Prediction Concealed Ore Body
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