基于高密度三维地震数据的煤层岩浆岩分布多属性预测  

Multi-attribute prediction of coal-bed magmatic rock distribution based on high-density 3D seismic data

作　　者：单蕊 聂荣花 王千遥 Shan Rui;Nie Ronghua;Wang Qianyao(Xi′an Research Institute Co.,Ltd.,China Coal Technology and Engineering Group,Xi′an 710077,China)

机构地区：[1]中煤科工集团西安研究院有限公司,陕西西安710077

出　　处：《能源与环保》2021年第9期104-107,共4页CHINA ENERGY AND ENVIRONMENTAL PROTECTION

基　　金：国家重点研发计划资助项目(2018YFC0807804)。

摘　　要：针对研究区岩浆岩侵入煤层层位多、范围广、预测难度大的问题,利用地震波形聚类分析,得出与地质相对应的地震相图;利用多属性分析,预测煤层中岩浆岩侵入范围。结果表明,该方法预测的岩浆岩侵入宏观变化趋势与钻井揭示结果基本一致。研究可为煤矿安全生产提供保障。Aiming at the problems of magmatic rock intrusion into the coal seam in the study area,which were multiple,wide and difficult to predict,the seismic waveform cluster analysis was used to obtain the seismic phase diagram corresponding to the geology;the multi-attribute analysis was used to predict the magmatic rock intrusion range in the coal seam.The results showed that the macroscopic change trend of magmatic rock intrusion predicted by this method was basically consistent with the results revealed by drilling.Research could provide guarantee for safe production in coal mines.

关 键 词：多属性分析 波形聚类分析 岩浆岩侵入 高密度三维地震 

分 类 号：P631[天文地球—地质矿产勘探] P315.8[天文地球—地质学]