Elastic least-squares reverse time migration based on decoupled wave equations

被引:0
|
作者
Zhong, Yu [1 ]
Gu, Hanming [1 ]
Liu, Yangting [2 ,3 ]
Mao, QingHui [4 ]
机构
[1] China Univ Geosci, Inst Geophys & Geomat, Hubei Subsurface Multi Scale Imaging Key Lab, Wuhan 430074, Peoples R China
[2] Minist Nat Resources, Inst Oceanog 1, Qingdao 266061, Peoples R China
[3] Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Peoples R China
[4] Yangtze Univ, Cooperat Innovat Ctr Unconvent Oil & Gas, Minist Educ & Hubei Prov, Key Lab Explorat Technol Oil & Gas Resources, Wuhan 430100, Peoples R China
基金
中国国家自然科学基金;
关键词
IMAGING CONDITION; FIELD-SEPARATION; DEPTH MIGRATION; INVERSION; DOMAIN; MEDIA; 2D;
D O I
10.1190/GEO2020-0805.1
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Elastic reverse time migration (ERTM) is developed for bet -ter characterization of complex structures by imaging multi-component seismic data. However, conventional ERTM is subject to limitations such as finite recording aperture, limited bandwidth, and imperfect illumination. Elastic least-squares reverse time migration (ELSRTM) can improve imaging accu-racy gradually with iterations by minimizing the residuals between the observed and calculated multicomponent data. Conventional ELSRTM suffers from crosstalk artifacts caused by coupled elastic wavefields with different wave modes. Decomposing the coupled elastic wavefields into pure P-and S-waves is an effective method to suppress these crosstalk artifacts. Considering the trade-off between calculation accuracy and efficiency, we have developed a new ELSRTM scheme for isotropic media based on decoupled wave equations to suppress these wave mode-related crosstalk artifacts in the images of con-ventional ELSRTM. Pure wavefields are obtained by solving the decoupled wave equations using the finite-difference method in our new ELSRTM method. We also derive new decoupled ad-joint-state wave equations that are suitable for the elastic veloc-ity-stress equations in isotropic media. Furthermore, we use the gradient equations based on pure wavefields to update the reflec-tivity images. Synthetic examples demonstrate that our new ELSRTM method can generate images that better represent the subsurface when compared with conventional ERTM and con-ventional ELSRTM.
引用
收藏
页码:S371 / S386
页数:16
相关论文
共 50 条
  • [1] A new elastic least-squares reverse-time migration method based on the new gradient equations
    Zhong, Yu
    Liu, Yangting
    Gu, Hanming
    Mao, Qinghui
    ACTA GEOPHYSICA, 2022, 70 (06) : 2733 - 2746
  • [2] Elastic least-squares reverse time migration
    Feng, Zongcai
    Schuster, Gerard T.
    GEOPHYSICS, 2017, 82 (02) : S143 - S157
  • [3] Elastic least-squares reverse time migration using the energy norm
    Rocha, Daniel
    Sava, Paul
    GEOPHYSICS, 2018, 83 (03) : S237 - S248
  • [4] Elastic Least-Squares Reverse Time Migration Using Decoupled P- and S-Wave Equations for PP and PS Reflectivity Imaging
    Liu, Xuejian
    Huang, Lianjie
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61 : 1 - 10
  • [5] Elastic Correlative Least-Squares Reverse Time Migration Based on Wave Mode Decomposition
    Zheng, Yue
    Liu, Youshan
    Xu, Tao
    Li, Zhiyuan
    PROCESSES, 2022, 10 (02)
  • [6] Least-squares reverse time migration in elastic media
    Ren, Zhiming
    Liu, Yang
    Sen, Mrinal K.
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2017, 208 (02) : 1103 - 1125
  • [7] Elastic least-squares reverse time migration with velocities and density perturbation
    Qu, Yingming
    Li, Jinli
    Huang, Jianping
    Li, Zhenchun
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2018, 212 (02) : 1033 - 1056
  • [8] Least-squares reverse time migration based on an efficient pure qP-wave equation
    Huang, Jianping
    Mao, Qiang
    Mu, Xinru
    Yang, Jidong
    Ivan, Mukiibi Ssewannyaga
    Liu, Zhang
    Zhang, Shaoshun
    GEOPHYSICAL PROSPECTING, 2024, 72 (04) : 1290 - 1311
  • [9] Vertical transversely isotropic elastic least-squares reverse time migration based on elastic wavefield vector decomposition
    Chen, Ke
    Liu, Lu
    Zhang, Lele
    Zhao, Yang
    GEOPHYSICS, 2023, 88 (01) : S27 - S45
  • [10] Prestack correlative elastic least-squares reverse time migration based on wavefield decomposition
    Shi, Ying
    Li, Songling
    Zhang, Wei
    JOURNAL OF APPLIED GEOPHYSICS, 2021, 194