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- W2334211197 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2011A three‐dimensional model‐based inversion algorithm for electromagnetic data inversionAuthors: M. LiA. AbubakarT. M. HabashyM. LiSchlumberger‐Doll ResearchSearch for more papers by this author, A. AbubakarSchlumberger‐Doll ResearchSearch for more papers by this author, and T. M. HabashySchlumberger‐Doll ResearchSearch for more papers by this authorhttps://doi.org/10.1190/1.3628139 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract We present a three‐dimensional (3D) model‐based inversion algorithm for inverting electromagnetic data. In our approach, the models are described by points in the 3D space and the so‐called radial basis functions are used as the interpolation functions for connecting these points. The use of the radial basis functions renders the surface of the target intrinsically smooth. A L2‐norm and weighted L2‐norm regularization schemes are developed to constrain the curvature and to further smooth the surface of the target. We tested this inversion algorithm using a data set from surface‐to‐borehole electromagnetic measurements. The inversion results demonstrate that both the shapes and material properties are well reconstructed. Together with the pixel‐based inversion algorithm, the model‐based inversion algorithm can efficiently provide a quantitative estimation of the geological structures by using electromagnetic measurements.Permalink: https://doi.org/10.1190/1.3628139FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2011ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2011 Pages: 4424 Publisher:Society of Exploration Geophysicists HistoryPublished: 08 Aug 2011 CITATION INFORMATION M. Li, A. Abubakar, and T. M. Habashy, (2011), A three‐dimensional model‐based inversion algorithm for electromagnetic data inversion, SEG Technical Program Expanded Abstracts : 536-541. https://doi.org/10.1190/1.3628139 Plain-Language Summary PDF DownloadLoading ..." @default.
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