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 crossplot 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 re.cognition. Predict roof lithology Of 13 - 1 coal-bed in XieQiao survey using the acquired model . The result proves it possible to pi＇edict roof lithology of coal using seismic attribute technology.
出处
《北京工业职业技术学院学报》
2006年第1期15-20,共6页
Journal of Beijing Polytechnic College
关键词
地震属性
顶板岩性
模式识别
BP神经网络
seismic attribute
roof lithologic character
pattern recognition
BP neural network
