深度域地震资料PCA属性融合技术在淮南DJ矿的应用  

The Application of Deep Seismic Data PCA Attribute Fusion Technology in Huainan Coal Mine

作　　者：韩必武 孙宇菲[2] HAN Biwu;SUN Yufei(Huainan Coal Industry Group,Huainan Anhui 232000;Research Institute of Coal Geophysical Exploration of China National Administration of Coal Geology,Zhuozhou Hebei 072750)

机构地区：[1]淮南矿煤业集团煤业分公司,安徽淮南232000 [2]中国煤炭地质总局地球物理勘探研究院,河北涿州072750

出　　处：《河南科技》2020年第1期79-81,共3页Henan Science and Technology

基　　金：淮南矿业(集团)有限责任公司科研及技术创新计划项目“井巷约束下三维地震数据体高精度成像技术研究”。

摘　　要：随着煤矿安全生产的需求越来越高,识别3~5 m断层成为煤矿安全高效生产的重要指标之一。本文运用地震资料处理技术归位相对准确的叠前深度偏移处理方法得到深度域地震资料,并在该数据体上进行解释。以淮南DJ矿的解释为例,利用提取的深度域方差属性、倾角属性体、曲率属性体及相干属性体进行主成分分析,并将主成分分析后的成果与蚂蚁体属性融合,其断层在数据体上的形态与边界反映清晰。With the increasing demand of coal mine safety production,the identification of 3~5m faults has become one of the important indexes of safe and efficient production in coal mines.In this paper,the depth domain seismic data were obtained by using the method of prestack depth migration which was relatively accurate in location by seismic data processing technology.Taking the interpretation of DJ mine in Huainan as an example,principal component analysis was carried out by using the extracted depth domain variance attribute,dip attribute body,curvature attribute body and coherent attribute body,and the results of principal component analysis were integrated with the ant body attribute.The shape and boundary of the fault on the data body were clearly reflected.

关 键 词：深度域 PCA属性融合 小断层 

分 类 号：TD163[矿业工程—矿山地质测量]