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Single-Step Data-Domain Least-Squares Reverse-Time Migration Using Gabor Deconvolution for Subsalt Imaging
Liu, Qiancheng1; Lu, Yongming2; Hui, Sun3; Zhang, Hao4
2020
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN1545-598X
Volume17Issue:1Pages:13-16
AbstractLeast-squares reverse-time migration (LSRTM) distinctly improves seismic imaging quality, but at an expensive computation overhead involving tens of iterations. We herein take a computationally cheaper single-step LSRTM solution, which intrinsically performs deblurring through a data-domain Wiener deconvolution. However, the Wiener filter mainly solves the signal estimation problems for stationary signals. Subsalt imaging often suffers from strong salt-related reflections and artifacts. The former and the latter give rise to strong amplitude variance and changed source wavelets in the demigrated data, increasing its nonstationarity and hindering the data-deblurring operation in the single-step LSRTM. To alleviate the nonstationarity during the data-domain deblurring, we consider a Gabor deconvolution method. Testing on the Sigsbee data sets shows that the Gabor deconvolution method is effective, producing subsalt images of more balanced events and fewer artifacts than the raw RTM image. The Gabor deconvolution-related result also outperforms the standard single-step LSRTM result with more robust behavior and better subsalt imaging quality.
KeywordDeconvolution Imaging Transforms Data models Mathematical model Radar imaging Lighting Deconvolution Gabor transform least-squares imaging subsalt
DOI10.1109/LGRS.2019.2916847
Funding OrganizationKing Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST)
Language英语
Funding ProjectKing Abdullah University of Science and Technology (KAUST)
Funding OrganizationKing Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST) ; King Abdullah University of Science and Technology (KAUST)
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:000505528400003
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/95881
Collection其他部门
Corresponding AuthorLiu, Qiancheng
Affiliation1.King Abdullah Univ Sci & Technol, Dept Phys Sci & Engn, Thuwal 239556900, Saudi Arabia
2.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen 518055, Guangdong, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
4.Chinese Acad Geol Sci, Inst Geomech, Beijing 100081, Peoples R China
Recommended Citation
GB/T 7714
Liu, Qiancheng,Lu, Yongming,Hui, Sun,et al. Single-Step Data-Domain Least-Squares Reverse-Time Migration Using Gabor Deconvolution for Subsalt Imaging[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2020,17(1):13-16.
APA Liu, Qiancheng,Lu, Yongming,Hui, Sun,&Zhang, Hao.(2020).Single-Step Data-Domain Least-Squares Reverse-Time Migration Using Gabor Deconvolution for Subsalt Imaging.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,17(1),13-16.
MLA Liu, Qiancheng,et al."Single-Step Data-Domain Least-Squares Reverse-Time Migration Using Gabor Deconvolution for Subsalt Imaging".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 17.1(2020):13-16.
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