基于地表数据分离的层间多次波压制

基于波动方程的反馈迭代层间多次波压制方法可分为基于延拓数据的共聚焦点(Common Focus Point，CFP)方法和基于地表数据的Jakubowicz方法。与需要波场延拓的CFP方法相比，Jakubowicz方法直接利用地表数据分离得到波场进行多维褶积与相关来预测层间多次波，具有计算效率高，不依赖地下速度的优势。在简要介绍基于地表数据分离的层间多次波压制方法原理的基础上，针对地下介质中存在多个强反射界面的情况，重点论述了逐层消除层间多次波的递归实现过程。模拟数据和实际地震资料试算结果表明，基于地表数据分离的层间多次波压制方法能够有效地衰减层间多次波，恢复有效信号。

 Feedback and iterative internal multiple elimination methods based on wave equation can be classified into two categories.One is extrapolation-based Common Focus Point (CFP） method and the other is surface-based Jakubowicz method.Compared with the CFP method,Jakubowicz method is proposed to predict internal multiples by multi-dimensional correlation and convolution of wavefield directly separated from actual surface seismic data.Jakubowicz method has the advantages of high computational efficiency and less dependency on subsurface velocity.After a brief introduction on the principles of internal multiple elimination method based on the surface data separation,aiming at the multiple strong interfaces existing in the subsurface medium,the recursive procedure for eliminating internal multiples layer by layer is demonstrated.Numerical simulation and actual seismic data testing results show that surface data separation based internal multiple elimination method can attenuate internal multiples and restore primaries effectively.