Salt Structure Elastic Full Waveform Inversion Based on the Multiscale Signed Envelope

被引:36
作者
Chen, Guoxin [1 ]
Yang, Wencai [2 ]
Liu, Yanan [2 ]
Wang, Hanchuang [3 ]
Huang, Xingguo [4 ]
机构
[1] Zhejiang Univ, Inst Marine Geol & Resources, Ocean Coll, Zhoushan 316021, Peoples R China
[2] Zhejiang Univ, Sch Earth Sci, Hangzhou 310027, Peoples R China
[3] Second Inst Oceanog, Hangzhou 310012, Peoples R China
[4] Jilin Univ, Coll Instrumentat & Elect Engn, Changchun 130026, Peoples R China
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2022年 / 60卷
基金
中国国家自然科学基金;
关键词
Mathematical models; Couplings; Stress; Linear programming; Data models; Convergence; Computational modeling; Elastic full-waveform inversion (EFWI); multiscale signed envelope (MS-SE); salt structure; wave mode decomposition; TRAVEL-TIME INVERSION; OPTIMAL TRANSPORT; INSTANTANEOUS PHASE; FIELD SEPARATION; STRATEGY; DENSITY; MISFIT; DOMAIN; MODEL; 2D;
D O I
10.1109/TGRS.2022.3166028
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
Building high-fidelity velocity models for salt structures is a valuable and difficult problem in seismic exploration. Acoustic-based full-waveform inversion (FWI) methods usually produce velocity artifacts around high-contrast interfaces due to the generation of converted waves. Therefore, elastic FWI (EFWI) should be used in salt model velocity building. Two problems that restrict EFWI are: lack of low-frequency seismic data and multiparameter coupling. For the first problem, envelope is a good choice because of its ability to reconstruct low-frequency components independent of the frequency range of seismic data. However, envelope is instantaneous energy flow and lacks polarity information, while the elastic waves are vectors. Thus, the direct use of envelope to reconstruct the low-frequency components of elastic waves causes serious artificial artifacts in envelope inversion. Therefore, we introduce signed demodulation and window average function to obtain the multiscale (MS) envelope with polarity, defined as the MS signed envelope to reconstruct low-frequency elastic data. The reconstructed low-frequency data are then used in EFWI, and an elastic MS signed direct envelope inversion algorithm is proposed. For the second problem, wave mode decomposition and hierarchical inversion strategies are integrated into the inversion to eliminate the multiparameter coupling effect. A salt layer model and BP model are used to verify the effectiveness of the algorithm. Finally, the deficiencies in the research of this article and further improvement plans are also discussed.
引用
收藏
页数:12
相关论文
共 50 条
[31]   Elastic full-waveform inversion for surface topography [J].
Qu, Yingming ;
Li, Zhenchun ;
Huang, Jianping ;
Li, Jinli ;
Guan, Zhe .
GEOPHYSICS, 2017, 82 (05) :R269-R285
[32]   Acoustic full-waveform inversion in an elastic world [J].
Agudo, Oscar Calderon ;
da Silva, Nuno Vieira ;
Warner, Michael ;
Morgan, Joanna .
GEOPHYSICS, 2018, 83 (03) :R257-R271
[33]   Multilayer Perceptron and Bayesian Neural Network-Based Elastic Implicit Full Waveform Inversion [J].
Zhang, Tianze ;
Sun, Jian ;
Trad, Daniel ;
Innanen, Kristopher .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
[34]   An elastic full-waveform inversion based on wave-mode separation [J].
Qu, Yingming ;
Li, Jinli ;
Li, Zhenchun ;
Huang, Jianping .
EXPLORATION GEOPHYSICS, 2018, 49 (04) :530-552
[35]   A Full-Waveform Inversion Method Based on Structural Tensor Constraints [J].
Liu, Fengliang ;
Zhou, Hui ;
Chen, Hanming ;
Wang, Lingqian ;
Fu, Yuxin .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63
[36]   Elastic vertically transversely isotropic full-waveform inversion: From synthetic to field data [J].
He, Weiguang ;
Li, Yubing ;
Liu, Lu .
GEOPHYSICS, 2023, 88 (03) :R385-R405
[37]   Elastic Full-Waveform Inversion via Physics-Informed Recurrent Neural Network [J].
Lu, Cai ;
Wang, Yunchen ;
Zou, Xuyang ;
Zong, Jingjing ;
Su, Qin .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62
[38]   Bayesian Elastic Full-Waveform Inversion Using Hamiltonian Monte Carlo [J].
Gebraad, Lars ;
Boehm, Christian ;
Fichtner, Andreas .
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2020, 125 (03)
[39]   Elastic Full Waveform Inversion With Angle Decomposition and Wavefield Decoupling [J].
Luo, Jingrui ;
Wang, Benfeng ;
Wu, Ru-Shan ;
Gao, Jinghuai .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 59 (01) :871-883
[40]   Density reconstruction in multiparameter elastic full-waveform inversion [J].
Sun, Min'ao ;
Yang, Jizhong ;
Dong, Liangguo ;
Liu, Yuzhu ;
Huang, Chao .
JOURNAL OF GEOPHYSICS AND ENGINEERING, 2017, 14 (06) :1445-1462