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特征分析法在最小预测区优选中的应用
引用本文:张旦,周莹,万永文,宋吴. 特征分析法在最小预测区优选中的应用[J]. 四川轻化工学院学报, 2012, 0(4): 93-96
作者姓名:张旦  周莹  万永文  宋吴
作者单位:[1]成都理工大学,成都610059 [2]武汉工程大学,武汉430205
基金项目:西藏矿产资源潜力评价项目(1212010881631)
摘    要:特征分析法在矿产预测中有着极为广泛的应用;在研究当曲式铁矿矿床地质特征、成矿规律的基础上,将特征分析方法应用到最小预测区优选中。根据成矿模型优选出含矿建造、断裂构造、航磁异常等8个预测变量,在12个最小预测区中圈定出了7个一级最小预测区和4个二级最小预测区,指出了进一步找矿方向。

关 键 词:成矿预测  特征分析法  含矿建造  最小预测区

Application of Characteristic Analysis to Optimization of Prospective Area of Mineral Deposits
Affiliation:ZHANG Dan , ZHOU Ying, WAN Yong-wen , SONG Hao ( 1. Chengdu University of Technology, Chengdu 610059, China ; 2. Wuhan Institute of Technology, Wuhan 430205, China)
Abstract:Characteristic Analysis is used widely in the optimization of prospective area of mineral deposits. Based on summing-up geological characteristics ore-forming disciplinarian and ore-prospecting indicators in the Dangqu steatabound- type iron deposit area, the characteristic analysis is applied to prospective area of mineral deposits. According to this model, 8 prediction variahles containing stratum , structure , geophysical , geochemical , remote variables are chosen. 7 fixst-order prediction target areas and 4 second-order areas are recognized in this study. Further ore-prospecting direction is given. The quantitative prediction method ore-prospecting targets is researched. Better ore-prospecting effect is made.
Keywords:mineral prediction  characteristic analysis  ore bearing formation  prospecting areas
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