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Multiparameter Elastic Full Waveform Inversion of Ocean Bottom Seismic Four-Component Data Based on A Modified Acoustic-Elastic Coupled Equation
Sun, Minao1,2; Jin, Shuanggen2,3
2020-09-01
Source PublicationREMOTE SENSING
Volume12Issue:17Pages:23
AbstractOcean bottom seismometer (OBS) can record both pressure and displacement data by modern marine seismic acquisitions with four-component (4C) sensors. Elastic full-waveform inversion (EFWI) has shown to recover high-accuracy parameter models from multicomponent seismic data. However, due to limitation of the standard elastic wave equation, EFWI can hardly simulate and utilize the pressure components. To remedy this problem, we propose an elastic full-waveform inversion method based on a modified acoustic-elastic coupled (AEC) equation. Our method adopts a new misfit function to account for both 1C pressure and 3C displacement data, which can easily adjust the weight of different data components and eliminate the differences in the order of magnitude. Owing to the modified AEC equation, our method can simultaneously generate pressure and displacement records and avoid explicit implementation of the boundary condition at the seabed. Besides, we also derive a new preconditioned truncated Gauss-Newton algorithm to consider the Hessian associated with ocean bottom seismic 4C data. We analyze the multiparameter sensitivity kernels of pressure and displacement components and use two numerical experiments to demonstrate that the proposed method can provide more accurate multiparameter inversions with higher resolution and convergence rate.
Keywordelastic full waveform inversion acoustic-elastic coupled ocean bottom seismic multicomponent multiparameter
Funding OrganizationNational Key Research and Development Program of China Project ; National Key Research and Development Program of China Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key Research and Development Program of China Project ; National Key Research and Development Program of China Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key Research and Development Program of China Project ; National Key Research and Development Program of China Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key Research and Development Program of China Project ; National Key Research and Development Program of China Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China
DOI10.3390/rs12172816
WOS KeywordMIGRATION VELOCITY ANALYSIS ; REVERSE TIME MIGRATION ; GRAZING-INCIDENCE ; REFLECTION DATA ; CABLE DATA ; DENSITY ; FIELD ; MEDIA ; NEWTON
Language英语
Funding ProjectNational Key Research and Development Program of China Project[2018YFC0603502] ; National Natural Science Foundation of China[41930105] ; National Key R&D Program of China
Funding OrganizationNational Key Research and Development Program of China Project ; National Key Research and Development Program of China Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key Research and Development Program of China Project ; National Key Research and Development Program of China Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key Research and Development Program of China Project ; National Key Research and Development Program of China Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key Research and Development Program of China Project ; National Key Research and Development Program of China Project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Key R&D Program of China ; National Key R&D Program of China
WOS Research AreaRemote Sensing
WOS SubjectRemote Sensing
WOS IDWOS:000571227300001
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/81441
Collection中国科学院国家天文台
Corresponding AuthorJin, Shuanggen
Affiliation1.Nanjing Univ Informat Sci & Technol, Colloborat Innovat Ctr Forecast & Evaluat Meteoro, Key Lab Meteorol Disaster,Minist Educ KLME, Joint Int Res Laborotory Climate & Environm Chang, Nanjing 210044, Peoples R China
2.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China
3.Chinese Acad Sci, Shanghai Astron Observ, Shanghai 200030, Peoples R China
Recommended Citation
GB/T 7714
Sun, Minao,Jin, Shuanggen. Multiparameter Elastic Full Waveform Inversion of Ocean Bottom Seismic Four-Component Data Based on A Modified Acoustic-Elastic Coupled Equation[J]. REMOTE SENSING,2020,12(17):23.
APA Sun, Minao,&Jin, Shuanggen.(2020).Multiparameter Elastic Full Waveform Inversion of Ocean Bottom Seismic Four-Component Data Based on A Modified Acoustic-Elastic Coupled Equation.REMOTE SENSING,12(17),23.
MLA Sun, Minao,et al."Multiparameter Elastic Full Waveform Inversion of Ocean Bottom Seismic Four-Component Data Based on A Modified Acoustic-Elastic Coupled Equation".REMOTE SENSING 12.17(2020):23.
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