3D near-surface velocity model building by joint seismic-airborne EM inversion

PreviousNext No AccessSEG Technical Program Expanded Abstracts 20163D near-surface velocity model building by joint seismic-airborne EM inversionAuthors: Guy MarquisWeizhong WangJide OgunboGuy MarquisShell International E&PSearch for more papers by this author, Weizhong WangGeoTomo LLCSearch for more papers by this author, and Jide OgunboGeoTomo LLCSearch for more papers by this authorhttps://doi.org/10.1190/segam2016-13959497.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract We propose here a methodology to build near-surface velocity models by joint inversion of traveltime and high-resolution airborne EM (AEM) data. The resulting velocity and resistivity models are steered to be structurally similar through the inclusion of a cross-gradient term in the objective function. The inversion is stable and results in better-fitting velocity and resistivity models. The resulting velocity model is then used to compute statics corrections on pre-stack seismic data. We tested the method on high-quality coincident 3D seismic and AEM data from Canada by computing three different near-surface velocity models: Model 1 is a traveltime tomography using the first breaks of all the seismic shots and receivers, Models 2 and 3 are a traveltime tomography and a joint seismic-AEM inversion with a limited number of shots. The resulting stacks using statics corrections from Models 1 and 3 are very similar but the stack using Model 2 is not as sharp as the others. Our results suggest that adding AEM data to a seismic dataset with fewer shots produces seismic images as good as when a large number of shots are included. Presentation Date: Wednesday, October 19, 2016 Start Time: 11:10:00 AM Location: 174 Presentation Type: ORAL Keywords: electromagnetic, near surface, statics, tomographyPermalink: https://doi.org/10.1190/segam2016-13959497.1FiguresReferencesRelatedDetailsCited byEfficient and accurate velocity building from Gramian-constrained multiphysics reflection and transmission dataJide Nosakare Ogunbo15 August 2022Forensic GPR anti-human landmine accurate detection by Gramian constrained joint inversion of the monostatic reflection and transmission radargramsJide Nosakare Ogunbo, Changsoo Shin, Sang-Wook Kim, and Sang-Hyun Kim15 August 2022References13 July 2021Seismic-Airborne TEM Joint Inversion and Surface Consistent Refraction Analysis: New Technologies for Complex Near Surface Corrections6 March 2017Image-based near-surface modeling for statics correctionsÖz Yilmaz3 November 2016 | The Leading Edge, Vol. 35, No. 11 SEG Technical Program Expanded Abstracts 2016ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2016 Pages: 5654 publication data© 2016 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 01 Sep 2016 CITATION INFORMATION Guy Marquis, Weizhong Wang, and Jide Ogunbo, (2016), "3D near-surface velocity model building by joint seismic-airborne EM inversion," SEG Technical Program Expanded Abstracts : 922-926. https://doi.org/10.1190/segam2016-13959497.1 Plain-Language Summary Keywordselectromagneticnear surfacestatics tomographyPDF DownloadLoading ...