Fast post-stack migration deconvolution algorithm and its application
Luo Guo-an1,2, Wu Wei2, Li He-qun1, Wei Geng-yu3, Wang Shang-xu1
1. China University of Petroleum,Beijing City,102249,China;
2. Geophysical Technology Research Centre,BGP Inc.of CNPC,Zhuozhou City,Hebei Province,072750,China;
3. Overseas Business Dept.of Geophysical Research Institute,BGP Inc.of CNPC,Zhuozhou City,Hebei Province,072750,China
Abstract：Migration deconvolution method is effective for raising resolution of the migrated sections,the Green Function which was needed by migration deconvolution method is based on the assumption in which the acquisition geometry and velocity model only vary with the depth,estimation of migration deconvolution filtering factor takes a large amount of time,especially for 3d datasets.In order to solve the problem a fast algorithm of post-stack migration Green Function which is based on homogenous medium assumption was proposed in this paper,its main idea is as below:For post-stack datasets,the source and the receiver are in a same location,meanwhile by regarding the geometry as regular and based on the assumption of migration Green Function's shift invariance we only need to calculate a migration Green Function at each depth level.Through fast migration deconvolution method,the constant velocity scanning was used to design optimized deconvolution operator which fits the circumstance of lateral velocity variation.The preliminary experiments for different datasets show that the fast migration deconvolution operator could effectively raise the calculation efficiency and the imaging quality of the migrated sections.
