地震反射波属性在煤层厚度预测中的应用研究

Research on application of seismic reflection wave attributes in prediction of coal seam thickness

在煤炭资源勘探中,对煤层厚度的预测有着重要的意义。介绍了应用地震属性技术预测煤层厚度变化的方法。基于陇东某矿区8号煤层的地震资料,提取地震属性数据;通过对地震属性的分析,优选出最大振幅、均方根振幅、平均能量、中值振幅4种地震属性作为煤层厚度预测模型基本参数,构建地震反射波属性多元回归分析和神经网络模型,对模型进行误差分析和实际结果对比分析,取得了较好的应用效果。

In the exploration of coal resources,the prediction of coal seam thickness is of great significance.The method of applying seismic attribute technology to predict the change of coal seam thickness was introduced.Based on the seismic data of No.8 coal seam in a mining area in Longdong,seismic attribute data was extracted;through analysis of seismic attributes,four seismic attributes of maximum amplitude,root mean square amplitude,average energy and median amplitude were selected as the basic model of coal thickness prediction parameters,construct multiple regression analysis of seismic reflection wave attributes and neural network model,perform error analysis and comparative analysis of actual results on the model and achieve good application results.