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Topography Least-Squares Reverse-Time Migration Based on Adaptive Unstructured Mesh

文献类型：期刊论文

作者Liu, Qiancheng1,2; Zhang, Jianfeng3,4
刊名SURVEYS IN GEOPHYSICS
出版日期2019-11-13
页码19
关键词Topography LSRTM Adaptive unstructured meshing Iterative inversion
ISSN号0169-3298
DOI10.1007/s10712-019-09578-0
英文摘要Least-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.
WOS关键词HETEROGENEOUS MEDIA ; WAVE PROPAGATION
资助项目King Abdullah University of Science and Technology (KAUST)
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000495945600001
出版者SPRINGER
资助机构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) ; King Abdullah University of Science and Technology (KAUST)
源URL[http://ir.iggcas.ac.cn/handle/132A11/95764]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Liu, Qiancheng
作者单位1.KAUST, Div Phys Sci & Engn, Thuwal 23955, Saudi Arabia
2.Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA
3.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
4.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen, Peoples R China
推荐引用方式
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.

入库方式： OAI收割

来源：地质与地球物理研究所

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