Acta Geophysica | |
Three-dimensional angle-domain double-square-root migration in VTI media for the large-scale wide-azimuth seismic data | |
article | |
Wu, Chengliang1  Feng, Bo1  Wang, Huazhong1  Wang, Tianzhen1  | |
[1] Wave Phenomena and Intelligent Inversion Imaging Group (WPI), School of Ocean and Earth Science, Tongji University | |
关键词: Angle domain; Double-square-root migration; VTI media; Wide-azimuth; Phase-shift plus interpolation; | |
DOI : 10.1007/s11600-020-00450-z | |
学科分类:地球科学(综合) | |
来源: Polska Akademia Nauk * Instytut Geofizyki | |
【 摘 要 】
With the development of oil and gas exploration, the conventional seismic migration imaging technology based on the isotropic assumption no longer meets our current requirements for high-resolution images. Migration in anisotropic media has become an essential requirement for oil and gas exploration. Marine seismic exploration has gradually entered the wide-azimuth and high-density seismic data acquisition stage. However, even for current large high-performance computer clusters, it is still very difficult to implement pre-stack depth migration based on shot gathers. Thus, we present a double-square-root (DSR) equation based on three-dimensional (3D) pre-stack depth migration in midpoint-offset domain for a wide-azimuth dataset in transversely isotropic media with a vertical symmetry axis (VTI media). Considering VTI media, the DSR migration requires extensive memory and computation; we adopted the phase-shift plus interpolation approach to improve the computational efficiency. Then, we extract the angle-domain common-image gathers (ADCIGs) during DSR migration. For real large-scale seismic data, we designed an effective parallel implementation of 3D DSR migration with ADCIGs outputs. Finally, we applied the proposed angle-domain VTI DSR migration on wide-azimuth SEG/EAGE salt dome-based data and real data from the China South Sea. Numerical and practical data illustrate the effectiveness of the proposed method.
【 授权许可】
Unknown
【 预 览 】
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RO202108090001729ZK.pdf | 6846KB | download |