粒子群退火算法在转换波剩余静校正中的应用
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摘要
求取转换波剩余静校量是非线性问题。为准确求取转换波剩余静校正量,将两种非线性全局最优化方法:粒子群算法和模拟退火算法融合成为粒子群退火算法(PSOSA)。为验证方法的有效性,建立了单层模型,合成带有剩余静校正量的转换波地震记录,对该地震记录利用PSOSA求取剩余静校正量并进行静校正。结果表明:静校正后的叠加剖面和单炮记录同相轴连续性较好,求得的剩余静校正量误差较小,证明了PSOSA能较准确地求取转换波的剩余静校正量。
Estimation of converted wave residual statics is a nonlinear problem.In order to estimate converted wave residual statics accurately,we combine two nonlinear optimization methods,the particle swarm optimization and simulated annealing,into a new algorithm PSOSA.To test its validity,we build a single-layer model,achieve the synthetic seismogram with residual statics,estimate residual statics by using PSOSA and correct the origin synthetic seismogram with achieved statics.The result shows good continuity of stack section and good single shot gather after static correction and small error of the statics.Those prove that the PSOSA can estimate converted wave residual statics accurately.
Estimation of converted wave residual statics is a nonlinear problem.In order to estimate converted wave residual statics accurately,we combine two nonlinear optimization methods,the particle swarm optimization and simulated annealing,into a new algorithm PSOSA.To test its validity,we build a single-layer model,achieve the synthetic seismogram with residual statics,estimate residual statics by using PSOSA and correct the origin synthetic seismogram with achieved statics.The result shows good continuity of stack section and good single shot gather after static correction and small error of the statics.Those prove that the PSOSA can estimate converted wave residual statics accurately.
引文
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[2]Rothman D H.Automatic estimation of large residualstatics corrections[J].Geophysics,1986,51(2):332-346.
[3]Rothman D H.Nonlinear inversion,statistical mechan-ics,an residual statics estimation[J].Geophysics,1985,50(12):2784-2796.
[4]王小平,曹立明.遗传算法:理论、应用与软件实现[M].西安:西安交通大学出版社,2002:1-344.WANG Xiao-ping,CAO Li-ming.Genetic algorithms:theory,applications and implementation of software[M].Xi’an:Xi’an Jiaotong University Press,2002:1-344.
[5]卢勇旭.非线性全局最优化方法在转换波静校正中的应用.硕士学位论文[D].长春:吉林大学,2010.LU Yong-xu.Application of nonlinear optimization meth-od in static correction of converted wave:master disserta-tion[D].Changchun:Jilin University,2010.
[6]姚姚.用非线性遗传反演方法进行自动静校正[J].地球科学,1996,21(1):90-92.YAO Yao.Automatic static correction by nonlinear genet-ic inverse method[J].Earth Science,1996,21(1):90-92.
[7]姚姚.地球物理非线性反演模拟退火法的改进[J].地球物理学报,1995,38(5):643-650.YAO Yao.Improvement on nonlinear geophysical inver-sion simulated annealing[J].Chinese Journal of Geo-physics,1995,38(5):643-650.
[8]李辉峰.非线性全局最优化方法在剩余静校正问题中的应用研究.博士学位论文[D].成都:成都理工大学,2006.LI Hui-feng.Application of nonlinear optimization methodin residual tatic correction:Ph.D dissertation[D].Chengdu:Chengdu University of Technology,2006.
[9]林依华,张中杰,尹成,等.复杂地形条件下静校正的综合寻优[J].地球物理学报,2003,46(1):101-106.LIN Yi-hua,ZHANG Zhong-jie,YIN Cheng,et al.Hy-brid optimization of static estimation in complex topogra-phy[J].Chinese Journal of Geophysics,2003,46(1):101-106.
[10]唐建候,张金山.高效模拟退火剩余静校正[J].石油地球物理勘探,1994,29(3):382-387.TNAG Jian-hou,ZHANG Jin-shan.Residual static cor-rection using efficient simulated annealing method[J].Oil Geophysical Prospecting,1994,29(3):382-387.
[11]侯广兵.非线性理论处理方法概论[J].世界地质,1999,18(1):67-74.HOU Guang-bing.Summary of the onlinear theoreticalprocessing methods[J].Global Geology,1999,18(1):67-74.
[12]杨红霞,高林.复杂地表地区地震勘探静校正方法应用研究[J].世界地质,2002,21(3):293-299.YANG Hong-xia,GAO Lin.A study on statics methodin comlicated near surface area[J].World Geology,2002,21(3):293-299.
[13]Ronen J,Claerbout J.Surface-consistent residual staticsestimation by stack-power maximization[J].Geophys-ics,1985,50(12):2759-2767.
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