利用测井信息联合地震多属性反演方法预测煤层气富集区
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摘要
本文利用地震多属性对地震数据进行分析,并基于概率神经网络的学习方法,对测井数据与地震多属性进行训练,从而利用测井信息和井间地震资料反演出全区密度等储层参数的分布图,为煤层气富集区预测提供依据。通过寺河矿区实例分析,该方法与常规反演方法相比具有更多的优点,它不但克服了常规反演只能计算声波、密度、波阻抗的限制,可以反演电阻率、孔隙度等储层参数,还融入了地震道的多种地震属性,信息更为全面。
This article analyzes seismic data using seismic multi-attribute and trains the logging data and seismic multi-attribute basing on probabilistic neural network.The distribution map of reservoir parameter such as density is gained after inversion by log data and seismic data to provide related basis for prediction of CBM-rich area.Through the analysis of Sihe mining area,it is found that this method has more advantages than other conventional inversion which can only calculates acoustic wave,density and wave impedance.More reservoir parameter can be calculated,such as resistivity and porosity with the new method.In addition,the data volume is more comprehensive by integrating seismic multi-attribute into the inversion.
This article analyzes seismic data using seismic multi-attribute and trains the logging data and seismic multi-attribute basing on probabilistic neural network.The distribution map of reservoir parameter such as density is gained after inversion by log data and seismic data to provide related basis for prediction of CBM-rich area.Through the analysis of Sihe mining area,it is found that this method has more advantages than other conventional inversion which can only calculates acoustic wave,density and wave impedance.More reservoir parameter can be calculated,such as resistivity and porosity with the new method.In addition,the data volume is more comprehensive by integrating seismic multi-attribute into the inversion.
引文
[1]何义中.裂缝油气储层检测与预测的地球物理方法研究[D].成都理工学院博士论文.2002.
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[2]刘企英.利用地震信息进行油气预测[M].北京:石油工业出版社,1994.
[3]陈遵德.储层地震属性优化方法[M].石油工业出版社,1998.
[4]张学庆.测井属性的地震侧井智能联合反演[D].成都理工学院博士论文.2002.
[5]郑晓芳.地震多属性反演方法的研究及应用[D].中国地质大学硕士论文.2008.
[6]杨斌.非线性侧井储层特性智能反演方法及应用研究应用[D].成都理工学院博士论文.1999.
[7]彭真明.安鸿伟等.演化神经网络学习方法及其应用.石油地球物理勘探.2001,36(2).
[8]Masters,T.,1994,Signal and image processing with neural networks:John Wiley&Sons,Inc.
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