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基于共聚焦的三维最大能量积分法叠前深度偏移

3-D max-energy integration prestack depth migration based on common focus point

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【作者】 匡斌王华忠沈财余马在田

【Author】 Kuang Bin, Wang Hua-zhong, Shen Cai-yu and Ma Zai-tian. Kuang Bin,Geophysical Research Institute,No.210,Beiyi Road,Dongying City,Shandong Province,257022,China

【机构】 山东省东营市胜利油田有限公司物探研究院同济大学海洋地质与地球科学学院胜利油田有限公司物探研究院同济大学海洋地质与地球科学学院 257022

【摘要】 本文从WRW模型理论出发,提出了基于共聚焦成像理论的最大能量积分法成像技术,其原理为:分别假设地下某深度点存在一个虚拟接收点和一个虚拟理想震源,通过对数据矩阵进行时移后加权叠加的方法,实现针对该深度点的上行波场反向延拓的检波聚焦,通过对CFP道集进行时移后加权叠加的方法,实现针对该深度点的下行波场反向延拓的震源聚焦,生成该网格点成像结果,最后可提取t=0时刻的成像波场。其核心技术在于对聚焦算子(格林函数)的计算。本文基于单程波动方程,在地震波的有效频带范围内计算携带最大能量的三维聚焦算子,在此基础上完成基于共聚焦成像理论的最大能量积分法深度成像。文中方法成像精度接近波动方程方法,同时又具有常规积分方法适应野外观测系统、计算效率高的优点,因此是一种兼具精度和效率的实用方法。

【Abstract】 Starting from WRW model theory,the paper proposed max-energy integration imaging technique based on common focus imaging theory, which supposes there exist a virtual receiver point and a virtual source point at a certain underground depth point.The receiver focus of backwards continuation of upgoing wavefield at that depth point can be fulfilled by using data matrix to carry out post-time-shift weighted stack, The source focus of backwards continuation of downgoing wavefield at that depth point can be fulfilled by using CFP gathers to carry out post-time-shift weighted stack,producing the imaging results at that grid point,and finally the imaging wavefield at t=0 can be detected.The kernel technique lies in computation of focus operator (Green function).Based on one-way wave equation, the paper computes the 3-D focus operator with maximum energy within useful band scope of seismic waves,and finishes max-energy integration depth imaging based on common focus imaging theory.The imaging precision of the approach presented by the paper closes to that of wave equation approach, and the approach has same characters of suitable to field geometry and high computational efficiency as common integration method has, and is practical approach with both precision and efficiency.

  • 【文献出处】 石油地球物理勘探 ,Oil Geophysical Prospecting , 编辑部邮箱 ,2007年02期
  • 【分类号】P631.4
  • 【被引频次】6
  • 【下载频次】120
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