节点文献

基于波前重建和李代数积分的地震波走时计算

Seismic Travel-Time Calculation Based on Wave-Front Construction and Lie Algebra Integral

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 张廉萍刘洪

【Author】 ZHANG Lian-ping,LIU HongInstitute of Geology and Geophysics/Key Laboratory of Petroleum Geophysics Chinese Academy of Sciences,Beijing 100029,China

【机构】 中国科学院地质与地球物理研究所/油气资源研究重点实验室

【摘要】 地震波走时计算在数值模拟、层析反演和偏移成像中均有重要意义。将波前重建与李代数积分相结合,提出了一种新的适应横向变速介质的非对称走时算法,称之为wave-front construction-Lie algebra integral(WFC-LAI)算法。本算法利用一次波前重建计算成像射线走时进行坐标变换,将深度域单平方根算子透镜项转化为常数,在射线坐标系下计算李代数积分和指数映射,得到地震波走时的解析表达式。数值试验表明,该方法计算结果与线性横向变速介质中走时的理论值吻合。通过与波前重建结果对比,WFC-LAI算法对于求取横向变速介质中地震波走时是可行的,节省了存储空间,易于并行,有利于提高Kirchhoff积分叠前深度偏移的精度和效率。

【Abstract】 Seismic travel-time calculation is significant in numerical modeling,tomography inversion and migration.In this paper,integrated using wave-front construction and Lie algebra integral,we proposed a new method,called wave-front construction-Lie algebra integral(WFC-LAI)method,which is applicable to unsymmetrical travel-time calculation in laterally velocity variant medium.We make coordinate conversion by travel-time of image rays computed by wave-front construction and convert the lens item of single square root operator in depth domain to a constant,then in the ray coordinates we determine analytical expression of paraxial travel-time using Lie algebra integral and exponent mapping.Through numerical experiments we know our result coincides with the theoretical value in the medium with linear laterally variant velocity.Comparing with wave-front construction we can conclude that in laterally velocity variant medium,WFC-LAI method is applicable to travel-time calculation and saves storage space and computing time,which is extremely beneficial to improve the precision and efficiency of Kirchhoff pre-stack depth migration.

【基金】 国家重点基础研究发展计划项目(2007CB209603);国家自然科学基金面上项目(40674072),国家自然科学基金重点项目(40774069)
  • 【文献出处】 吉林大学学报(地球科学版) ,Journal of Jilin University(Earth Science Edition) , 编辑部邮箱 ,2010年06期
  • 【分类号】P631.4
  • 【被引频次】1
  • 【下载频次】146
节点文献中: 

本文链接的文献网络图示:

本文的引文网络