【摘要】 结合煤田横向预测研究的方法及特点,讨论了地震横向预测资料处理技术,目的层的正确标定,模型的正、反演,各种地震信息的提取,地震属性的综合分析方法等主要环节。采用Kohonen人工神经网络预测奥陶灰岩岩溶裂隙发育带,以及BP人工神经网络自动识别小断层,证明该煤田地震资料横向预测方法可行,可望成为煤田岩性横向预测的一种有效方法。更多还原

【Abstract】 Based on the way and characteristics of lateral prediction in coal field,this paper developed main techniques of seismic data processing,calibration of reflection wave of objective interval,seismic forward and inverse modeling,extracting seismic features and their combining analysis for lateral prediction by seismic data.It could be applied to predict karst fractured zones in Ordovician limestone with self-oraganizing Kohonen artificial neural network or to recognize of small faults by using BP artificial neural network.It is proved that it is effective.It may become a useful method for lateral prediction with seismic data in coal field.更多还原