A method and application of irregular geometry design based on compressive sensing

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2019A method and application of irregular geometry design based on compressive sensingAuthors: Men ZheNing HongxiaoZhang MugangLi WeiboLiu XinggangMen ZheBGP, CNPCSearch for more papers by this author, Ning HongxiaoBGP, CNPCSearch for more papers by this author, Zhang MugangBGP, CNPCSearch for more papers by this author, Li WeiboBGP, CNPCSearch for more papers by this author, and Liu XinggangBGP, CNPCSearch for more papers by this authorhttps://doi.org/10.1190/segam2019-3214324.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractThe three key elements of compressive sensing are sparse representation of target data, random sampling and optimal recovery algorithm of sparse constraints. Among them, random sampling means random sampling of target data, and the gap size of sampling points is usually not equal. Because the simple random sampling is completely random, there are some problems that the sampling points in some locations are too clustered or too dispersed, which leads to the unsatisfactory recovery results in the dispersed locations. Therefore, the maximum gap size of sampling points should be constrained in the design of irregular geometry. This paper propose a kind of sparse constraint of irregular geometry design method, a theoretical data analysis shows that the gap size of traces is larger, the signal-to-noise ratio (SNR) of recovery data is lower, and an actual regular 2D geometry is irregularized with this method to obtain an irregular geometry, about 37.5% of original data corresponding to the irregular geometry is used for data recovery, the imaging quality of the recovery data is equivalent to that of the original regular data.Presentation Date: Wednesday, September 18, 2019Session Start Time: 9:20 AMPresentation Time: 9:45 AMLocation: Poster Station 11Presentation Type: PosterKeywords: 3D, acquisition, randomPermalink: https://doi.org/10.1190/segam2019-3214324.1FiguresReferencesRelatedDetailsCited byObtain higher spatial bandwidth via compressed sensingMen Zhe, Ning Hongxiao, Li Xiang, Liu Xinggang, Lv Panpan, and Liu Chunqiang30 September 2020 SEG Technical Program Expanded Abstracts 2019ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2019 Pages: 5407 publication data© 2019 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 10 Aug 2019 CITATION INFORMATION Men Zhe, Ning Hongxiao, Zhang Mugang, Li Weibo, and Liu Xinggang, (2019), "A method and application of irregular geometry design based on compressive sensing," SEG Technical Program Expanded Abstracts : 268-272. https://doi.org/10.1190/segam2019-3214324.1 Plain-Language Summary Keywords3DacquisitionrandomPDF DownloadLoading ...