Target-oriented reverse time migration in transverse isotropy media

التفاصيل البيبلوغرافية
العنوان: Target-oriented reverse time migration in transverse isotropy media
المؤلفون: Xuan Ke, Song Liwei, Weihong Wang, Ying Shi, Shumin Chen
المصدر: Acta Geophysica. 69:125-134
بيانات النشر: Springer Science and Business Media LLC, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Seismic anisotropy, 010504 meteorology & atmospheric sciences, Acoustics, Seismic migration, Kinematics, 010502 geochemistry & geophysics, Interference (wave propagation), 01 natural sciences, Geophysics, Transverse isotropy, Anisotropy, Multipath propagation, Geology, 0105 earth and related environmental sciences, Imaging condition
الوصف: Reverse time migration (RTM) is a high-precision imaging method for complex structures. However, without considering seismic anisotropy of the subsurface, RTM utilizing the anisotropic seismic data may produce blurred structure images with incorrect positions. Moreover, some exploration targets with insufficient illumination cannot be effectively identified in the migration profile, especially the subsalt structure which is usually the favorable petroleum region for the hydrocarbon reservoir. Therefore, we develop a target-oriented RTM in transverse isotropy media (TO-TIRTM). Instead of classical RTM, the novel method extracts wavefields that carry relatively more information about the exploration target to image structure. In the imaging condition, the constraint with excitation time is introduced to eliminate the interference of multipath on the image. Using synthetic examples, we determined that the kinematic characteristic of wavefield is closely related to anisotropic parameters, and the proposed method has prominent advantages over conventional RTM for imaging insufficient illumination structure.
تدمد: 1895-7455
1895-6572
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::cd78777af5e5cbcf12ec301bfd4a1af7Test
https://doi.org/10.1007/s11600-020-00527-9Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........cd78777af5e5cbcf12ec301bfd4a1af7
قاعدة البيانات: OpenAIRE