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某铀矿床成矿预测
引用本文:黄晓乃,畅文生,杨建明,李蒲姣.某铀矿床成矿预测[J].矿业研究与开发,2003,23(6):37-39,45.
作者姓名:黄晓乃  畅文生  杨建明  李蒲姣
作者单位:1. 南华大学,湖南,衡阳市,421001
2. 长沙有色冶金设计研究院,湖南,长沙,410001
摘    要:某铀矿床原已探明的矿体主要集中在208和216两地段,两地相距3.5km。对于这两个矿点之问的中间地段,前人已做过不少工作,但效果不理想。本文用数学地质方法把208~216的中间地段分为等面积的16个单元,选择与矿化关系密切的9个主要地质变量,并依据一定的准则对它们进行取值,分别用聚类分析法和特征分析法对各单元的成矿进行预测,预测结果可作为该地段地质勘探的依据。

关 键 词:成矿预测  聚类分析  特征分析  地质变量
文章编号:1005-2763(2003)06-0037-03

Mineralogenetic Prediction of a Certain Uranium Deposit
HUANG Xiao-nai,CHANG Wen-sheng,YANG Jian-ming,LI Pu-jiao.Mineralogenetic Prediction of a Certain Uranium Deposit[J].Mining Research and Development,2003,23(6):37-39,45.
Authors:HUANG Xiao-nai  CHANG Wen-sheng  YANG Jian-ming  LI Pu-jiao
Affiliation:HUANG Xiao-nai 1,CHANG Wen-sheng 2,YANG Jian-ming 1,LI Pu-jiao 1
Abstract:In a certain uranium deposit, the proved ore bodies mostly distribute 208 and 216 zones. The distance between the two zones is 3.5km. Many investigations had been carried out in the middle section between the ore zones, but the unsatisfactory results were obtained. This paper adopts the mathematical geologic method to divide the middle section between 208 and 216 zones into 16 elements having equivalent area, and selects 9 major geologic variables closely related to mineralization, then determines the values of the variables by specified rules, at last, predicts the mineralization in the middle section by clustering analysis and character analysis respectively. The results of the predictions could be used as the basis for geologic prospecting in the middle section.
Keywords:Mineralogenetic prediction  Clustering analysis  Character analysis  Geologic variable  
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