虚拟井技术在深水无井区碎屑岩储层预测中的应用
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摘要
以某海域深水无井区的中央水道砂岩储层为研究对象,采用叠前和叠后混合反演技术解决无井约束下的地震反演问题。利用遗传算法,在一些控制点进行精细的叠前地震波形反演并构建虚拟井曲线,以虚拟井曲线作为控制信息进行叠后反演,达到预测储层的目的。结合叠前弹性参数(泊松比)反演和油气敏感地震属性分析综合预测有利储层的分布特征。实际应用结果表明,虚拟井技术在海相油气勘探初期和深海无井勘探区储层预测中是可行的,可以极大地降低勘探风险。
By applying pre-stack and post-stack involved inversion technique, no-well constrained seismic inversion problem of the central channel sand reservoir in a deep-sea no-well area was resolved.The technique uses genetic algorithm to build a pseudo-well log at some controlling points by detailed pre-stack seismic inversion.Then the pseudo-well is taken as constrained information to carry out post-stack inversion and reservoir prediction.By the analysis on prestack elastic parameters(Poisson's ratio) and seismic attributes sensitive to oil and gas,the distribution of reservoir was predicted. Actual results show that pseudo-well technology is feasible for marine preliminary exploration and reservoir prediction of deep-sea nowell exploration area,and can largely reduce the risk of exploration.
By applying pre-stack and post-stack involved inversion technique, no-well constrained seismic inversion problem of the central channel sand reservoir in a deep-sea no-well area was resolved.The technique uses genetic algorithm to build a pseudo-well log at some controlling points by detailed pre-stack seismic inversion.Then the pseudo-well is taken as constrained information to carry out post-stack inversion and reservoir prediction.By the analysis on prestack elastic parameters(Poisson's ratio) and seismic attributes sensitive to oil and gas,the distribution of reservoir was predicted. Actual results show that pseudo-well technology is feasible for marine preliminary exploration and reservoir prediction of deep-sea nowell exploration area,and can largely reduce the risk of exploration.
引文
[1]吕福亮,贺训云,武金云,等.世界深水油气勘探现状、发展趋势及对我国深水勘探的启示[J].中国石油勘探,2007,12(6):28-31
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[5]严建文,杨绍国.基于遗传算法的叠前地震波形反演构建虚拟井曲线[J].石油地球物理勘探,2007,42 (1):678-681
[6]李忠荣,马先林,周坤瑞,等.虚拟井测井曲线的预测技术[J].石油大学学报,1994,18(4):20-25
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[9]王宝珍,杨文采.用改进的遗传算法进行地震波阻抗反演研究[J].石油地球物理勘探,1998,33(2): 678-681
[10]王秀娟,吴时国,余鹏,等.混合地震反演技术及其在水合物勘探中的应用[J].石油物探,2007,46(3): 278-282
[11]Sen M K,Stoffa P L.Rapid sampling of model space using genetic algorithms:examples from seismic waveform inversion[J].Geophysical Journal International, 1992,108(1):281-292
[12]Holland J H.Adaptation in Natural and Artificial Systems[M].Cambridge,USA:The MIT Press, 1992:1-228
[13]Mallick S.Model-based inversion of amplitude-varia-tion -with-offset data using a genetic algorithm[J]. Geophysics,1995,60(4):939-954
[14]Mallick S.Some practical aspects of prestack waveform inversion using a genetic aglgorthm:An example from the east Texas Woodbine gas sand[J].Geophysics, 1999,64(2):326-336
[15]Mallick S.Hybrid seismic inversion:a reconnaissance tool for deepwater exploration[J].The Leading Edge,2000,19(11):1230-1237
[2]林闻,周金应.世界深水油气勘探新进展与南海北部深水油气勘探[J].石油物探,2009,48(6):601-605
[3]何家雄,夏斌.世界深水油气勘探进展及南海深水勘探前景[J].天然气地球科学,2006,17(6):747-752
[4]陈春峰.世界深水勘探特点及中国深水勘探现状分析[J].石油天然气学报,2005,27(6):835-837
[5]严建文,杨绍国.基于遗传算法的叠前地震波形反演构建虚拟井曲线[J].石油地球物理勘探,2007,42 (1):678-681
[6]李忠荣,马先林,周坤瑞,等.虚拟井测井曲线的预测技术[J].石油大学学报,1994,18(4):20-25
[7]李晶,陈裕明,唐湘蓉.用退火遗传算法进行地震波阻抗反演[J].石油物探,2004,43(3):234-237
[8]成琥,赵宪生,王红霞,等.基于BP网络和遗传算法的波阻抗混合反演[J].石油物探,2006,45(6): 574-579
[9]王宝珍,杨文采.用改进的遗传算法进行地震波阻抗反演研究[J].石油地球物理勘探,1998,33(2): 678-681
[10]王秀娟,吴时国,余鹏,等.混合地震反演技术及其在水合物勘探中的应用[J].石油物探,2007,46(3): 278-282
[11]Sen M K,Stoffa P L.Rapid sampling of model space using genetic algorithms:examples from seismic waveform inversion[J].Geophysical Journal International, 1992,108(1):281-292
[12]Holland J H.Adaptation in Natural and Artificial Systems[M].Cambridge,USA:The MIT Press, 1992:1-228
[13]Mallick S.Model-based inversion of amplitude-varia-tion -with-offset data using a genetic algorithm[J]. Geophysics,1995,60(4):939-954
[14]Mallick S.Some practical aspects of prestack waveform inversion using a genetic aglgorthm:An example from the east Texas Woodbine gas sand[J].Geophysics, 1999,64(2):326-336
[15]Mallick S.Hybrid seismic inversion:a reconnaissance tool for deepwater exploration[J].The Leading Edge,2000,19(11):1230-1237