摘要
以西澳伊尔岗钙结岩分布区为例,在分析区域铀矿预测要素的基础上,利用多参数组合和监督分类2种方法对航空γ能谱测量数据进行处理和分析,开展钙结岩型铀矿的成矿预测研究。根据航空γ能谱数据铀、钍、钾元素之间的地球化学特征差异,利用ERDAS软件空间建模工具计算古铀量、铀富集系数,识别铀源区和铀后生富集区。利用特征空间域的贝叶斯决策准则监督分类技术,提取研究区多级航放示矿信息,经过综合分析,最终圈定7片钙结岩型铀成矿远景区。
The calcrete distribution in Yilgarn area of western Australia was studied by analyzing the re-gional uranium ore prediction factors,multi parameter combination and supervised classification was used to process and analyze the airborne spectroscopy data and to predict the calcrete hosted uranium metallization.According to the geochemical characteristics differences between airborne uranium, thorium and potassium spectrum data,space modeling tool in ERDAS software was used to calculate the ancient uranium enrichment factors and identify the area of uranium enrichment source.Bayesian decision criterion and supervised classification technology of feature space domain were used to extract multi level aero radiometric anomaly in the study area,and comprehensive analysis methods was used to select calcrete hosted uranium mineralization prospects.
出处
《铀矿地质》
CAS
CSCD
2015年第1期44-51,共8页
Uranium Geology
关键词
伊尔岗地区
航空γ能谱测量
钙结岩型铀矿
成矿预测
Yilgarn area
airborne spectrometry measurement
calcrete hosted uranium deposit
min-eralization prediction
