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Seismic data antialiasing interpolation using sparse Radon transform and dynamic mask function

文献类型：期刊论文

作者Shao, Jie; Wang, Yibo2
刊名GEOPHYSICS
出版日期2022-09-01
卷号87期号:5页码:V437-V449
ISSN号0016-8033
DOI10.1190/GEO2021-0465.1
英文摘要Interpolation of regularly sampled data with aliasing is important for seismic data processing. However, conventional antialiasing interpolation methods based on a low-frequency constraint may generate inaccurate interpolation results for high-frequency data with severe wrap around. We have developed a sparse Radon transform-based projection onto convex sets interpolation method with a 2D dynamic mask function. The new mask function exploits the frequency and dip information in a 2D domain and can better guide the interpolation of high frequencies with severe wrap around. The implementation of the proposed method includes four steps: (1) perform a forward f-k transform on the input data, extract the unaliased low-frequency low-wave number information from it, and perform the inverse f-k transform to obtain the unaliased part of the input data; (2) perform a sparse Radon transform on the unaliased data obtained in step one and apply an exponential threshold to obtain a mask function; (3) perform a sparse Radon transform on the input data, apply the mask function in step two to it, and perform the inverse Radon transform; and (4) reinsert the original traces in the input data. The four steps are repeated until an acceptable result is reached. Numerical examples of synthetic and field data demonstrate that the proposed method is an effective and robust method for aliased seismic data interpolation. The results of the proposed method have higher precision than that of the conventional antialiasing interpolation methods. Data with 80% regularly missing traces are still well interpolated using the proposed method.
WOS关键词INTERFEROMETRIC INTERPOLATION ; TRACE INTERPOLATION ; VELOCITY-STACK ; RECONSTRUCTION ; OFFSET
资助项目CAS Project for Young Scientists in Basic Research[YSBR-020] ; National Natural Science Foundation of China[41774148] ; Youth Innovation Promotion Association CAS[Y201917]
WOS研究方向Geochemistry & Geophysics
语种英语
出版者SOC EXPLORATION GEOPHYSICISTS
WOS记录号WOS:000882980700026
资助机构CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; Youth Innovation Promotion Association CAS ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; Youth Innovation Promotion Association CAS ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; Youth Innovation Promotion Association CAS ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association CAS ; Youth Innovation Promotion Association CAS
源URL[http://ir.iggcas.ac.cn/handle/132A11/106929]  
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Wang, Yibo
作者单位1.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Shao, Jie,Wang, Yibo. Seismic data antialiasing interpolation using sparse Radon transform and dynamic mask function[J]. GEOPHYSICS,2022,87(5):V437-V449.
APA Shao, Jie,&Wang, Yibo.(2022).Seismic data antialiasing interpolation using sparse Radon transform and dynamic mask function.GEOPHYSICS,87(5),V437-V449.
MLA Shao, Jie,et al."Seismic data antialiasing interpolation using sparse Radon transform and dynamic mask function".GEOPHYSICS 87.5(2022):V437-V449.

入库方式： OAI收割

来源：地质与地球物理研究所

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