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复杂地表条件下共反射面元(CRS)叠加方法研究
引用本文:李振春,孙小东,刘洪.复杂地表条件下共反射面元(CRS)叠加方法研究[J].地球物理学报,2006,49(6):1794-1801.
作者姓名:李振春  孙小东  刘洪
作者单位:1.中国石油大学地球资源与信息学院,山东东营 257061 2 中国科学院地质与地球物理研究所,北京 100029
基金项目:国家自然科学基金,中国石油天然气集团公司资助项目,中原油田博士后科研工作站资助项目,CNPC物探重点实验室中国石油大学(华东)研究室资助项目
摘    要:在地表地形复杂的情况下,静校正不易做好,这是制约山地资料处理质量的一个很重要的因素.复杂地表共反射面元(CRS)叠加不需对叠前数据做静校正,而且在得到叠加剖面后可以利用叠加得到的波场参数剖面实现基准面重建.地震数据的试算表明,复杂地表CRS叠加得出的剖面与常规处理剖面相比有着较高的信噪比和同相轴连续性.与水平地表CRS叠加不同的是,在复杂地表CRS叠加的时距公式中,波场三参数耦合,难以通过简化CRS道集的方法将它们全部分离并逐个优化.引入模拟退火算法后,有效地解决了这一组合优化的难题.

关 键 词:静校正  CRS叠加  波场参数  基准面重建  模拟退火算法  组合优化  
文章编号:0001-5733(2006)06-1794-08
收稿时间:2005-09-12
修稿时间:2005-09-122006-06-19

Common reflection surface stack for rugged surface topography
LI Zhen-Chun,SUN Xiao-Dong,LIU Hong.Common reflection surface stack for rugged surface topography[J].Chinese Journal of Geophysics,2006,49(6):1794-1801.
Authors:LI Zhen-Chun  SUN Xiao-Dong  LIU Hong
Institution:1.College of Geo resources and Information, China University of Petroleum, Shandong Dongying 257061, China 2 Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
Abstract:In the condition of rugged surface topography,static correction can't be done well,which is an important factor that influences the processing quality of seismic data obtained from mountain regions.However,an extension of the CRS stack method that takes into account the effects of the surface topography can process pre-stack data without static correction.Then data redatuming can be performed with the kinematic parameters produced by CRS stack.Seismic data processing indicates that the result of the extension of the CRS stack for rugged surface topography is better than that of conventional stack in the aspect of S/N ratio and the continuity of reflection events.Different from CRS stack for horizontal surface,in the formula of CRS stack for rugged surface topography,the three kinematic parameters are combined.It is very difficult to separate them completely and optimize them in turn by simplifying CRS gather.The introduction of simulating annealing algorithm solves the difficulty in combination optimization effectively.
Keywords:Static correction  CRS stack  Kinematic parameters  Data redatuming  Simulating annealing algorithm  Combination optimization
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