解域约束下的微地震事件网格搜索法、遗传算法联合反演
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摘要
网格搜索法具有简单、快速的特点,能够快速确定真解的大概位置,但是真解的确定又易受初至、速度模型等因素的影响,很难掌握。遗传算法对初至的适应程度很高,且全局搜索能力强,但是任意设定搜索范围,则搜索过程会繁琐,费时,且解的可靠性也大大降低。文中针对网格搜索法与遗传算法的上述特点,结合微地震资料的实际情况,在研究利用网格搜索反演方法、遗传算法及解域评价的基础上,提出了解域约束下的微地震事件网格搜索法、遗传算法联合反演方法。讨论了微地震反演中模型建立、初至敏感性、射孔资料等与反演计算相关的问题,提出了解决方案。理论和实际资料对文中反演方法的验证结果表明,无论在精度、速度及稳定性方面,文中方法较单一的搜索法或遗传算法都有明显的改善。
The grid-search method is simple,fast and can quickly determine a rough solution.But it is difficult to confirm the real solution due to the impact of first arrivals,velocity model and so on.The genetic algorithm adapts to first arrival completely and has strong global search ability.The search process can be complex,time-consuming and the accuracy of solution will be reduced greatly if search domain is set arbitrarily.Taking the advantages of these two methods,we put forward the grid-search and genetic algorithm joint inversion under solution-domain constraints for microseismic events.We discuss the forward modeling,the first arrival sensitivity and perforation information closely related to the inversion calculation.Applications of this method in both synthetic datasets and real datasets prove that the accuracy,the efficiency and the stability are obviously improved by the joint inversion method than the search inversion or the genetic algorithm inversion only.
The grid-search method is simple,fast and can quickly determine a rough solution.But it is difficult to confirm the real solution due to the impact of first arrivals,velocity model and so on.The genetic algorithm adapts to first arrival completely and has strong global search ability.The search process can be complex,time-consuming and the accuracy of solution will be reduced greatly if search domain is set arbitrarily.Taking the advantages of these two methods,we put forward the grid-search and genetic algorithm joint inversion under solution-domain constraints for microseismic events.We discuss the forward modeling,the first arrival sensitivity and perforation information closely related to the inversion calculation.Applications of this method in both synthetic datasets and real datasets prove that the accuracy,the efficiency and the stability are obviously improved by the joint inversion method than the search inversion or the genetic algorithm inversion only.
引文
[1]宋维琪,陈泽东,毛中华.水力压裂裂缝微地震检测技术.山东东营:中国石油大学出版社,2008
[2]刘建中,王春耘,刘继民等.用微地震法监测油田生产动态.石油勘探与开发,2004,31(2):71~73Liu Jian-zhong,Wang Chun-yun,Liu Ji-min et al.Microseismic monitor on the operation of oil fields.Petroleum Exploration and Development,2004,31(2):71~73
[3]张山,刘清林等.微地震监测技术在油田开发中的应用.石油物探,2002,41(2):226~231Zhang Shan,Liu Qing-lin et al.Application of micro-seismic monitoring technology in development of oilfield.GPP,2002,41(2):226~231
[4]Dyer B C,Jones R Hand Cowles J F.Microseismicsurvey of a North Sea reservoir.World Oil,1999,5(1):74~78
[5]Phillips WS and House L S.Micro-seismic mappingof a Cotton Valley hydraulic fracture using deci mateddownhole arrays.SEG Technical Program ExpandedAbstracts,1998,17:13~18
[6]宋维琪,刘军,陈伟.改进射线追踪算法的微震源反演.物探与化探,2008,32(3):275~277Song Wei-qi,Liu Jun,Chen Wei.Microearthquakesource inversion of an i mproved ray tracing algo-rithm.Geophysical&Geochemical Exploration,2008,32(3):275~277
[7]徐果明.反演理论及其应用.北京:地震出版社,2003
[8]万永革,李鸿吉.遗传算法在确定震源位置中的应用.地震地磁观测与研究,1995,16(6):1~7Wan Yong-ge and Li Hong-ji.The preli mininary stud-y on the seismic hypocenter location using genetic al-gorithms.Seismological and Geomagnetic Observa-tion and Research,1995,16(6):1~7
[9]Paul L S and Mrinal K S.Nonlinear multiparameteropti mization using genetic algorithms:Inversion ofplane-wave seismograms.Geophysics,1991,56(11):1794~1810
[10]Pei Dong-hong,John A Q,Bruce E C,Dan Qand Nor-man R W.Velocity calibration for microseismic moni-toring:A very fast si mulated annealing(VFSA)ap-proach for joint-objective opti mization.Geophysics,2009,74(6):47~55
[2]刘建中,王春耘,刘继民等.用微地震法监测油田生产动态.石油勘探与开发,2004,31(2):71~73Liu Jian-zhong,Wang Chun-yun,Liu Ji-min et al.Microseismic monitor on the operation of oil fields.Petroleum Exploration and Development,2004,31(2):71~73
[3]张山,刘清林等.微地震监测技术在油田开发中的应用.石油物探,2002,41(2):226~231Zhang Shan,Liu Qing-lin et al.Application of micro-seismic monitoring technology in development of oilfield.GPP,2002,41(2):226~231
[4]Dyer B C,Jones R Hand Cowles J F.Microseismicsurvey of a North Sea reservoir.World Oil,1999,5(1):74~78
[5]Phillips WS and House L S.Micro-seismic mappingof a Cotton Valley hydraulic fracture using deci mateddownhole arrays.SEG Technical Program ExpandedAbstracts,1998,17:13~18
[6]宋维琪,刘军,陈伟.改进射线追踪算法的微震源反演.物探与化探,2008,32(3):275~277Song Wei-qi,Liu Jun,Chen Wei.Microearthquakesource inversion of an i mproved ray tracing algo-rithm.Geophysical&Geochemical Exploration,2008,32(3):275~277
[7]徐果明.反演理论及其应用.北京:地震出版社,2003
[8]万永革,李鸿吉.遗传算法在确定震源位置中的应用.地震地磁观测与研究,1995,16(6):1~7Wan Yong-ge and Li Hong-ji.The preli mininary stud-y on the seismic hypocenter location using genetic al-gorithms.Seismological and Geomagnetic Observa-tion and Research,1995,16(6):1~7
[9]Paul L S and Mrinal K S.Nonlinear multiparameteropti mization using genetic algorithms:Inversion ofplane-wave seismograms.Geophysics,1991,56(11):1794~1810
[10]Pei Dong-hong,John A Q,Bruce E C,Dan Qand Nor-man R W.Velocity calibration for microseismic moni-toring:A very fast si mulated annealing(VFSA)ap-proach for joint-objective opti mization.Geophysics,2009,74(6):47~55