IGGCAS OpenIR  > 油气资源研究院重点实验室
Topography Least-Squares Reverse-Time Migration Based on Adaptive Unstructured Mesh
Liu, Qiancheng1,2; Zhang, Jianfeng3,4
2019-11-13
Source PublicationSURVEYS IN GEOPHYSICS
ISSN0169-3298
Pages19
AbstractLeast-squares reverse-time migration (LSRTM) attempts to invert the broadband-wavenumber reflectivity image by minimizing the residual between observed and predicted seismograms via linearized inversion. However, rugged topography poses a challenge in front of LSRTM. To tackle this issue, we present an unstructured mesh-based solution to topography LSRTM. As to the forward/adjoint modeling operators in LSRTM, we take a so-called unstructured mesh-based "Grid Method." Before solving the two-way wave equation with the Grid Method, we prepare for it a velocity-adaptive unstructured mesh using a Delaunay Triangulation plus Centroidal Voronoi Tessellation algorithm. The rugged topography acts as constraint boundaries during mesh generation. Then, by using the adjoint method, we put the observed seismograms to the receivers on the topography for backward propagation to produce the gradient through the cross-correlation imaging condition. We seek the inverted image using the conjugate gradient method during linearized inversion to linearly reduce the data misfit function. Through the 2D SEG Foothill synthetic dataset, we see that our method can handle the LSRTM from rugged topography.
KeywordTopography LSRTM Adaptive unstructured meshing Iterative inversion
DOI10.1007/s10712-019-09578-0
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 KeywordHETEROGENEOUS MEDIA ; WAVE PROPAGATION
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
WOS SubjectGeochemistry & Geophysics
WOS IDWOS:000495945600001
PublisherSPRINGER
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Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/95764
Collection油气资源研究院重点实验室
Corresponding AuthorLiu, Qiancheng
Affiliation1.Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA
2.KAUST, Div Phys Sci & Engn, Thuwal 23955, Saudi Arabia
3.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
Recommended Citation
GB/T 7714
Liu, Qiancheng,Zhang, Jianfeng. Topography Least-Squares Reverse-Time Migration Based on Adaptive Unstructured Mesh[J]. SURVEYS IN GEOPHYSICS,2019:19.
APA Liu, Qiancheng,&Zhang, Jianfeng.(2019).Topography Least-Squares Reverse-Time Migration Based on Adaptive Unstructured Mesh.SURVEYS IN GEOPHYSICS,19.
MLA Liu, Qiancheng,et al."Topography Least-Squares Reverse-Time Migration Based on Adaptive Unstructured Mesh".SURVEYS IN GEOPHYSICS (2019):19.
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