IGGCAS OpenIR  > 地球与行星物理院重点实验室
Separating Scholte Wave and Body Wave in OBN Data Using Wave-Equation Migration
Li, Chao1,2; Wang, Yuan1,2; Zhang, Jinhai1,2; Geng, Jianhua3; You, Qingyu1,2; Hu, Yaoxing1,2; Liu, Yuzhu3; Hao, Tianyao1,2; Yao, Zhenxing1,2
2022
Source PublicationIEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
Volume60Pages:13
AbstractThe ocean bottom nodes (OBNs) acquire seismic data at a challenging depth to explore the subsurface structures. The recorded body wave and Scholte wave are highly mixed and are difficult to be separated. The strong body wave would influence the high-order modes extraction using the Scholte wave, while the Scholte wave would degrade the imaging of sedimentary structures using body wave. The lacking of effective methods for separating both waves prevents their application. We developed a migration-based method to accurately separate the Scholte wave and body wave in the OBN data. First, we use high-pass filtering to divide the original OBN data into three parts: background noise, high-frequency body wave, and the mixture of Scholte wave and low-frequency body wave. Then, we separate the Scholte wave and low-frequency body wave using migration and demigration based on the fact that they have different limits of reversible-migration velocity. Finally, we generate the separated body wave by subtracting the Scholte wave from the denoised OBN data. For the off-line data, the local orthogonalization method is required to retrieve the weak leakage of Scholte wave around the apices. Theoretical analyses and numerical experiments show that the proposed method can accurately separate Scholte wave and body wave without any visible artifacts while retaining most of their inherent properties. The separated body wave provides a high-quality input for imaging sedimentary structures, and the separated Scholte wave enables the extraction of high-order modes of dispersion curve that are crucial for high-resolution surface-wave inversion.
KeywordSurface waves Sea surface Filtering Imaging Cutoff frequency Background noise Underwater vehicles Body wave demigration migration ocean bottom node (OBN) Scholte wave wavefield separation
DOI10.1109/TGRS.2022.3169427
Funding OrganizationNational Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016)
WOS KeywordFREQUENCY SURFACE-WAVES ; DISPERSION-CURVES ; OCEAN ; INVERSION ; SEDIMENTS ; DIFFRACTIONS ; TOMOGRAPHY ; TRANSFORM
Language英语
Funding ProjectNational Key Research and Development Program of the Ministry of Science and Technology of China[2020YFA0713400] ; Key Research Program of the Chinese Academy of Sciences[ZDBS-SSW-TLC001] ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016)
Funding OrganizationNational Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; National Key Research and Development Program of the Ministry of Science and Technology of China ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Key Research Program of the Chinese Academy of Sciences ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016) ; Foundation for Excellent Member of the Youth Innovation Promotion Association, Chinese Academy of Sciences (2016)
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000793964300001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/105943
Collection地球与行星物理院重点实验室
Corresponding AuthorZhang, Jinhai
Affiliation1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100864, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100864, Peoples R China
3.Tongji Univ, State Key Lab Marine Geol, Shanghai 200092, Peoples R China
First Author AffilicationInstitute of Geology and Geophysics, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Geology and Geophysics, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Li, Chao,Wang, Yuan,Zhang, Jinhai,et al. Separating Scholte Wave and Body Wave in OBN Data Using Wave-Equation Migration[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2022,60:13.
APA Li, Chao.,Wang, Yuan.,Zhang, Jinhai.,Geng, Jianhua.,You, Qingyu.,...&Yao, Zhenxing.(2022).Separating Scholte Wave and Body Wave in OBN Data Using Wave-Equation Migration.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60,13.
MLA Li, Chao,et al."Separating Scholte Wave and Body Wave in OBN Data Using Wave-Equation Migration".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022):13.
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