A fast space-time-domain Gaussian beam migration approach using the dominant frequency approximation

作     者：Dong-Lin Zhang Jian-Ping Huang Ji-Dong Yang Zhen-Chun Li Su-Bin Zhuang Qing-Yang Li Dong-Lin Zhang;Jian-Ping Huang;Ji-Dong Yang;Zhen-Chun Li;Su-Bin Zhuang;Qing-Yang Li

作者机构：School of GeosciencesChina University of Petroleum(East China)QingdaoShandong 266580China Pilot National Laboratory for Marine Science and TechnologyQingdaoShandong 266580China Geophysical Exploration Research Institute of Zhongyuan Oilfield CompanyPuyangHenan 457001China 

出 版 物：《Petroleum Science》 (石油科学（英文版）)

年 卷 期：2022年第19卷第4期

页      面：1555-1565页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：jointly supported by the National Key Research and Development Program of China (2019YFC0605503) the National Natural Science Foundation of China (41821002, 41922028,41874149) the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA14010303) the Major Scientific and Technological Projects of CNPC (ZD2019-183-003) 

主　　题：Gaussian beam Space-time-domain Fast Dominant frequency approximation 

摘      要：The Gaussian beam migration(GBM) is a steady imaging approach, which has high accuracy and efficiency. Its implementation mainly includes the traditional frequency domain and the recent popular space-time domain. Firstly, we use the upward ray tracing strategy to get the backward wavefields. Then,we use the dominant frequency of the seismic data to simplify the imaginary traveltime calculation of the wavefields, which can cut down the Fourier transform number compared with the traditional GBM in the space-time domain. In addition, we choose an optimized parameter for the take-off angle increment of the up-going and down-going rays. These optimizations help us get an efficient space-time-domain acoustic GBM approach. Typical four examples show that the proposed method can significantly improve the computational efficiency up to one or even two orders of magnitude in different models with different model parameters and produce good imaging results with comparable accuracy and resolution with the traditional GBM in the space-time domain.