A Fast Global Optimization Algorithm for Regularized Migration Imaging

详细信息   

• 责任者：Li Zhenhua (Key Laboratory of Petroleum Resources Research ; Institute of Geology and Geophysics ; Chinese Academy of Sciences ; Beijing 100029 ; China） ; Wang Yanfei
• 刊名：Chinese Journal of Geophysics
• 出版年：2011
• 卷期：54（3）
• 关键词：地震偏移 ; seismic migration
• 页码：p.828-834
• 图表：6 illus., 2 tables, 18 refs.
• 分类号：1600
• issnNo：ISSN0001-5733
• isbnNo：CN11-2074/P

摘要

At the present, seismic migration usually only yields an image of the positions of geological structures, and it cannot supply more accurate information for subsequent lithology analysis and attributes extraction. To get an image with high resolution and true amplitude, the authors suggest that regularized migration imaging should be used. The algorithm not only shows as good performance in searching a local optimized solution as memoryless quasi-Newton method does, but also reaches the global optimized solution just as simulated annealing algorithm does. It reveals that the proposed algorithm can attenuate the migration artifacts and provide a better frequency distribution of estimated reflectivity when a proper seismic modeling operator is constructed.