核主成分分析在三维综合信息成矿预测中的应用研究
Metallogenic prediction of three-dimensional comprehensive Information based on kernel principal component analysis
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。
hree-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.
罗德江、王绪本、杨镜明、刘斌、段长生
矿业工程理论与方法论矿山地质、矿山测量
数学地质铜绿山铜铁矿核主成分三维成矿预测隐伏矿体
Mathematical GeologyTonglushan Copper IronKernel Principal Component Analysis3D Metallogenic PredictionConcealed Ore Body
罗德江,王绪本,杨镜明,刘斌,段长生.核主成分分析在三维综合信息成矿预测中的应用研究[EB/OL].(2016-07-13)[2025-07-16].http://www.paper.edu.cn/releasepaper/content/201607-164.点此复制
评论