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• W2056551320 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2008Adaptive learning gravity inversion for 3D salt body imagingAuthors: J. S. Silva Dias FernandoC. F. Barbosa ValériaB. C. Silva JoãoJ. S. Silva Dias FernandoONSearch for more papers by this author, C. F. Barbosa ValériaONSearch for more papers by this author, and B. C. Silva JoãoUFPASearch for more papers by this authorhttps://doi.org/10.1190/1.3063754 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract We present a 3D gravity inversion for estimating the location and geometry of 3D salt bodies. Iteratively, our approach estimates a 3D density‐contrast distribution by assuming a piecewise constant function defined on a user‐ specified grid of cells. To estimate a unique and stable density‐contrast distribution, we look for the solution that fits the observed anomaly within the measurement errors and favors compact salt bodies closest to pre‐specified geometric elements, such as axes and points. Our inversion method consists of two nested iterative loops. The outer loop uses an adaptive learning strategy that starts with a coarse grid of cells, a set of first‐guess geometric elements (axes and points) and the corresponding assigned density contrast. From the second iteration on, this strategy refines the grid and creates a new set of geometric elements (points only) and associated density contrasts. The inner loop estimates the density‐contrast distribution for the grid of cells and for the set of geometric elements defined in the outer loop. Each geometric element operates as the first‐ guess skeletal outline of a particular, homogeneous section of the salt body to be imaged. The algorithm easily incorporates known density contrast information by assigning these values to each geometric element. The iteration stops when the geometries of the estimated salt bodies are invariant along successive iterations. We apply our method to synthetic gravity data obtained from a salt body, whose density contrast with the host rocks varies from positive to negative. We tested two different geologic hypotheses about the geometric elements and the assigned density contrast on the real gravity anomaly from Galveston Island salt dome, offshore Texas, USA. In the first one, we estimated a vertically elongated salt dome with depth to the bottom at 5 km. In the second hypothesis, we estimated a cylindrical salt dome with an associated overhang and depth to the bottom at 4 km.Permalink: https://doi.org/10.1190/1.3063754FiguresReferencesRelatedDetailsCited ByUnderstanding the information content in gravity gradiometry data through constrained inversions for salt bodiesElizabeth Maag-Capriotti and Yaoguo Li20 July 2021 | GEOPHYSICS, Vol. 86, No. 4Time-lapse monitoring of CO2 sequestration: A site investigation through integration of reservoir properties, seismic imaging, and borehole and surface gravity dataRichard A. Krahenbuhl, Cericia Martinez, Yaoguo Li, and Guy Flanagan6 February 2015 | GEOPHYSICS, Vol. 80, No. 2Time-lapse gravity: A numerical demonstration using robust inversion and joint interpretation of 4D surface and borehole dataRichard A. Krahenbuhl and Yaoguo Li17 February 2012 | GEOPHYSICS, Vol. 77, No. 2 SEG Technical Program Expanded Abstracts 2008ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2008 Pages: 3713 publication data© 2008 Copyright © 2008 Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 15 Dec 2008 CITATION INFORMATION J. S. Silva Dias Fernando, C. F. Barbosa Valéria, and B. C. Silva João, (2008), Adaptive learning gravity inversion for 3D salt body imaging, SEG Technical Program Expanded Abstracts : 746-750. https://doi.org/10.1190/1.3063754 Plain-Language Summary PDF DownloadLoading ..." @default.
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