A computational method for wide-azimuth 3D dip-angle gathers using Gaussian beam migration

被引:1
|
作者
Zhuang, Su-Bin [1 ]
Huang, Jian-Ping [1 ]
Yang, Ji-Dong [1 ]
Li, Zhen-Chun [1 ]
机构
[1] China Univ Petr East China, Sch Geosci, Qingdao 266580, Shandong, Peoples R China
关键词
Gaussian beam; Dip-angle gathers; 3D imaging; Diffraction; PRESTACK DEPTH MIGRATION; INHOMOGENEOUS-MEDIA; TRUE-AMPLITUDE; WAVE-FIELDS; DOMAIN; APPROXIMATION; SEPARATION; INVERSION; SUMMATION;
D O I
10.1016/j.petsci.2022.03.012
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The dip-angle-domain common-image gather (DDCIG) is a key tool to separate the diffraction and reflection imaging results. Reflectors with different spatial geometries produce different responses in DDCIGs. Compared with Kirchhoff migration, Gaussian beam migration (GBM) is more effective and robust to overcome the multipathing problem. As a ray-based method, it has explicit angle information naturally during the propagation. We have developed a 3D DDCIG computational method using GBM, which obtain both the imaging result and angle-domain gathers with only one pass of calculation. The angle-gather computation is based on geometrical optics, and multiple angle conversions are imple-mented under the rules of space geometry, which helps to avoid rounding errors and improve accuracy. Additionally, the multi-azimuth joint presentation strategy is proposed to describe the characteristic of omnidirectional dip angles using a finite number of gathers. After using a 2D model to illustrate appli-cation advantages of DDCIG, we apply the proposed method to two 3D models to test its feasibility and accuracy. A field data example further demonstrates the adaptability of our method to seismic imaging for a land survey.(c) 2022 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/).
引用
收藏
页码:2081 / 2094
页数:14
相关论文
共 13 条
  • [1] Wide-azimuth angle gathers for wave-equation migration
    Sava, Paul
    Vlad, Ioan
    GEOPHYSICS, 2011, 76 (03) : S131 - S141
  • [2] Imaging 3-D faults using diffractions with modified dip-angle gathers
    Li, Zhengwei
    Zhang, Jianfeng
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2020, 220 (03) : 1569 - 1584
  • [3] Diffraction Imaging Method Using the Pattern Operator in Migrated Dip-angle Gathers
    Sheng, Tongjie
    Zhao, Jingtao
    Chen, Zongnan
    PURE AND APPLIED GEOPHYSICS, 2024, 181 (12) : 3463 - 3484
  • [4] 3D angle gathers from reverse time migration
    Xu, Shang
    Zhang, Yu
    Tang, Bing
    GEOPHYSICS, 2011, 76 (02) : S77 - S92
  • [5] Computing dip-angle gathers using Poynting vector for elastic reverse time migration in 2D transversely isotropic media
    Lu, Yongming
    Wang, Xiaoyi
    Lei, Tao
    COMPUTERS & GEOSCIENCES, 2022, 167
  • [6] 3D diffraction imaging with Kirchhoff time migration using vertical traveltime difference gathers
    Li, Zhengwei
    Zhang, Jianfeng
    GEOPHYSICS, 2019, 84 (06) : S555 - S566
  • [7] Source location using 3-D Gaussian beam migration imaging
    Cao Lei
    Zhang Jin-Hai
    Yao Zhen-Xing
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2015, 58 (02): : 481 - 494
  • [8] 3D least-squares elastic Gaussian beam prestack depth migration
    Sun ChangXiao
    Mao WeiJian
    Zhang QingChen
    Shi XingChen
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 64 (11): : 4181 - 4195
  • [9] Compensating Acquisition Footprint for Amplitude-Preserving Angle Domain Common Image Gathers Based on 3D Reverse Time Migration
    Liu, Hongwei
    Fu, Liyun
    Li, Qingqing
    Liu, Lu
    REMOTE SENSING, 2024, 16 (18)
  • [10] Locating Mine Microseismic Events in a 3D Velocity Model through the Gaussian Beam Reverse-Time Migration Technique
    Wang, Yi
    Shang, Xueyi
    Peng, Kang
    SENSORS, 2020, 20 (09)