谢桥13-1煤层顶板岩性的地震属性解译

英文篇名：Interpretation Coal Roof Lithologic Character of 13-1 in XieQiao Survey Using Seismic Attributes
中文刊名：北京工业职业技术学院学报
英文刊名：Journal of Beijing Vocational & Technical Institute of Industry
作者：郭彦省 ; 孟召平 ; 崔立竹
英文作者：Guo Yansheng~1 Meng Zhaoping~2 Cui Lizhu~3(1.Beijing Vocational & Technical Institute of Industry ; Beijing 100042 ; China ; 2.China University of Mining & Technology-beijing ; Beijing 100083 ; China ; 3.Hydro-geophysical Survey Team ; China Administration of Coal Geology ; HanDan 056001 ; China)
中文关键词：地震属性 ; 顶板岩性 ; 模式识别 ; BP神经网络
英文关键词：seismic attribute ; roof lithologic character ; pattern recognition ; BP neural network
出版日期：2006-01-30
机构：北京工业职业技术学院,中国矿业大学(北京校区),中国煤田地质总局水文物测队北京100042,北京100083,河北056001
年：2006
期：01
出版单位：北京工业职业技术学院学报

摘要

介绍了应用地震属性技术预测煤层顶板岩性的方法。通过应用交会图、相关分析方法,对钻孔处地震属性与煤层顶板岩性关系进行分析,优选地震属性,将得到的地震属性用神经网络模式识别方法,求出各属性与煤层顶板岩性之间的人工神经网络回归模型,将模型应用到非井点的地震属性上,实现了对淮南谢桥矿区13-1煤层顶板岩性的预测,取得了较好的应用效果。
The application of seismic attribute technology to predict coal roof lithologic character was introduced.The correlation between roof lithology character and post-stack seismic attributes was anylysed based on cross-plot and correlation integrated with data of drills,select meaningful attributions.The mathematic model to predict roof lithology was established between roof lithologic character and multi attributes by BP neural networks pattern recognition.Predict roof lithology of 13-1 coal-bed in XieQiao survey using the acquired model.The result proves it possible to predict roof lithology of coal using seismic attribute technology.

引文

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