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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
来源:
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.
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页码:S371 / S386
页数:16
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