叠后地震反演方法联合应用研究
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摘要
叠后地震反演方法很多,不同的反演方法具有不同的优缺点和用途。在叠后反演过程中,通常只选用一种方法进行一次反演,反演效果往往难以满足储层预测的精度要求。通过采用递推反演、约束稀疏脉冲反演和神经网络反演3种方法联合反演,不断提高反演结果的分辨率,增加信息量。反演获得高精度的波阻抗、储层地球物理特征参数等多种数据体,可为储层预测提供高精度的资料。实际应用表明,该反演技术流程是可行、有效和实用的。
There were many seismic pot-stack inversion methods with different characteristics and applied ranges.A single method was commonly applied to predict reservoirs,so it was hard to get a good result.Here a novel inversion workflow,which was different with traditional strategy,was proposed and discussed.Three post-stack inversion methods including recursive inversion,constrained sparse spike inversion and neural network inversion were jointed to increase the resolution,reliability of the result,and gain much information on reservoir rocks and fluid parameters during reservoir forecasting.The technique is adopted to integrate seismic,geological and well-log data to get the P-impedance data cube and other geophysical property data cube.The result shows that the new approach is feasible,effective and useful.It provides high precision data for reservoir prediction.
There were many seismic pot-stack inversion methods with different characteristics and applied ranges.A single method was commonly applied to predict reservoirs,so it was hard to get a good result.Here a novel inversion workflow,which was different with traditional strategy,was proposed and discussed.Three post-stack inversion methods including recursive inversion,constrained sparse spike inversion and neural network inversion were jointed to increase the resolution,reliability of the result,and gain much information on reservoir rocks and fluid parameters during reservoir forecasting.The technique is adopted to integrate seismic,geological and well-log data to get the P-impedance data cube and other geophysical property data cube.The result shows that the new approach is feasible,effective and useful.It provides high precision data for reservoir prediction.
引文
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[5]宁松华.利用高分辨率地震反演研究薄砂岩储层[J].石油天然气学报,2006,28(2):60～62.
[6]张宏,郑浚茂,杨道庆,等.塔中卡塔克区块古岩溶储层地震预测技术[J].石油学报,2008,29(1):69～74.
[7]Dag Helland-Hansen,Ingrid Magnus,Atle Edvardsen.Seismic inversion for reservoir characterization and well planning in the Snorre Field[J].The Leading Edge,1997,16(3):269～273.
[8]Berge T B,Fred Aminzadeh,Paul de Groot,et al.Seismic inversion successfully predicts reservoir,porosity,and gas content in Ib-hubesi Field,Orange Basin,South Africa[J].The Leading Edge,2002,21(4):338～348.
[9]Satinder Chopra.Integrating coherence cube i maging and seismic inversion[J].The Leading Edge,2001,20(4):354～362.
[10]Daniel P Hampson,James S Schuelke,John A Quirein.Use of multiattribute transforms to predict log properties fromseismic data[J].Geophysics,2001,66(1):220～236.
[2]范祯祥,郑仙种,范书芯,等.利用地震测井资料联合反演储层物性参数[J].石油地球物理勘探,1998,33(1):38～53.
[3]谈大龙,张宏,张铁铮.G-LOG技术在泌阳凹陷资料处理中的应用[J].石油物探,1995,34(4):88～99.
[4]王西文.精细储层预测技术在油田开发中的应用[J].石油地球物理勘探,2005,40(2):209～218.
[5]宁松华.利用高分辨率地震反演研究薄砂岩储层[J].石油天然气学报,2006,28(2):60～62.
[6]张宏,郑浚茂,杨道庆,等.塔中卡塔克区块古岩溶储层地震预测技术[J].石油学报,2008,29(1):69～74.
[7]Dag Helland-Hansen,Ingrid Magnus,Atle Edvardsen.Seismic inversion for reservoir characterization and well planning in the Snorre Field[J].The Leading Edge,1997,16(3):269～273.
[8]Berge T B,Fred Aminzadeh,Paul de Groot,et al.Seismic inversion successfully predicts reservoir,porosity,and gas content in Ib-hubesi Field,Orange Basin,South Africa[J].The Leading Edge,2002,21(4):338～348.
[9]Satinder Chopra.Integrating coherence cube i maging and seismic inversion[J].The Leading Edge,2001,20(4):354～362.
[10]Daniel P Hampson,James S Schuelke,John A Quirein.Use of multiattribute transforms to predict log properties fromseismic data[J].Geophysics,2001,66(1):220～236.
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