环太平洋地区斑岩钼铜矿化岩体矿化类型统计预测

本文对环太平洋地区53个与斑岩钼、铜矿床有成因联系的侵入岩体的控矿专属性进行了研究。对矿化类型与岩石化学组分之间的关系进行了统计分析和对比,从而阐明了矿化类型与岩浆演化之间的关系。作者在传统的岩石化学研究方法基础上,进一步应用R型聚类分析和因子分析等多元统计方法提取有用信息。并从应用角度,运用模糊集合论中隶属函数的概念,研究已知控矿岩体矿化类型的划分,建立评价矿化岩体矿化类型的数学模型。

PREDICTION OF MINERALIZING TYPES BY STATISTICAL METHOD FOR PORPHYRY MO-CU ORE-FORMING ROCK MASSES IN CIRCUM-PACIFIC REGION

There exist extensive distributions of porphyry MO-CU deposits associated with a series of calc-alkaline intruded and subvolcanic rocks in the circum -Pacific belt. Both rocks and deposits are so closely related in time and space that many geologists believe that a cause-and-effect relation ship exists between the ignous rocks and mineralizations.While the rock masses related to both types of ore deposits differ slightly in characteristic and their mineral associations and content of major components are also not alike, they are really similar in construction of ore deposits, processes of wall-rock alteration and formation of ore minerals. In view of the transitional relation of the features of mineralization, it is generally accepted that their geneses are just the same. In the paper, there are accumulated a lot of petrochemical data from 53 rock masses related to porphyry MO-CU ore forming in circum-Pacific belt, including the interior of Main Continent of China. The correlation between types of mineralizations and chemical compositions is compared and studied, and the correlation between types of mineralizations and evolution of magma as well. The controlling factors of mineraliz types are investigated in detail on the basis of multivariate statistical methods such as R-mode cluster analysis and factor analysis, etc.. A mathematical model is presented with application of fuzzy k-mean cluster analysis for the prediction of mineralizing types.