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- W4214530279 abstract "Previous No AccessSEG 2021 Workshop: 4th International Workshop on Mathematical Geophysics: Traditional & Learning, Virtual, 17–19 December 20213D gravity inversion based on LinkNetAuthors: Jiaxin HuYujie ZhangLihua FuHongwei LiJiaxin HuChina University of GeophysciencesKey Laboratory of Geological Survey and Evaluation of Ministry of EducationSearch for more papers by this author, Yujie ZhangChina University of GeophysciencesSearch for more papers by this author, Lihua FuChina University of GeophysciencesSearch for more papers by this author, and Hongwei LiChina University of GeophysciencesSearch for more papers by this authorhttps://doi.org/10.1190/iwmg2021-49.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract In this paper, we propose a new gravity inversion approach based on LinkNet, which can directly realize the nonlinear mapping of gravity data to density distribution. It only need to train a large number of samples to learn this mapping, and the density model can be quickly obtained in the prediction stage. Keywords: 3D, gravity, linear, inversion, estimationPermalink: https://doi.org/10.1190/iwmg2021-49.1FiguresReferencesRelatedDetails SEG 2021 Workshop: 4th International Workshop on Mathematical Geophysics: Traditional & Learning, Virtual, 17–19 December 2021ISSN (online):2159-6832Copyright: 2022 Pages: 193 publication data© 2022 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 24 Feb 2022 CITATION INFORMATION Jiaxin Hu, Yujie Zhang, Lihua Fu, and Hongwei Li, (2022), 3D gravity inversion based on LinkNet, SEG Global Meeting Abstracts : 190-193. https://doi.org/10.1190/iwmg2021-49.1 Plain-Language Summary Keywords3DgravitylinearinversionestimationPDF DownloadLoading ..." @default.
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- W4214530279 title "3D gravity inversion based on LinkNet" @default.
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