3D inversion of QMAGT airborne magnetic gradiometry data for susceptibility and magnetization vector models of the Thompson Nickel Belt in Manitoba, Canada

Second International Meeting for Applied Geoscience & Energy(2022)

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PreviousNext No AccessSecond International Meeting for Applied Geoscience & Energy3D inversion of QMAGT airborne magnetic gradiometry data for susceptibility and magnetization vector models of the Thompson Nickel Belt in Manitoba, CanadaAuthors: Michael JorgensenMichael S. ZhdanovBrian ParsonsMichael Jorgensen University of UtahSearch for more papers by this author, Michael S. Zhdanov University of UtahSearch for more papers by this author, and Brian Parsons Vale Canada LTDSearch for more papers by this authorhttps://doi.org/10.1190/image2022-3739311.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Following recent advances in SQUID technology, full tensor magnetic gradiometry (FTMG) is emerging as a practical exploration method. We introduce 3D regularized focusing inversion based on the Gramian regularization and moving sensitivity domain to interpret the FTMG data efficiently. A helicopter-borne QMAGT full tensor magnetic gradiometry (FTMG) survey was conducted over the Thompson Nickel Belt by Dias Airborne contracted by Vale Canada LTD. This project aimed to study the location and structure of the P2 member sulfidic meta sedimentary rocks of the Paleoproterozoic Ospwagan Group hosting the Mystery ultramafic intrusion and the associated Ni sulfide mineralization proximal to the survey area. The observed FTMG and calculated total magnetic intensity (TMI) data were analyzed and inverted separately using the developed 3D inversion methods. The data were inverted for susceptibility and magnetization vector models. This is one of the first papers to present the applied inversion of FTMG data towards a magnetization vector model. We also present a comparison of the inversions using the FTMG data and the calculated TMI data. Keywords: magnetic gradiometry, magnetization vector, inversionPermalink: https://doi.org/10.1190/image2022-3739311.1FiguresReferencesRelatedDetails Second International Meeting for Applied Geoscience & EnergyISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2022 Pages: 3694 publication data© 2022 Published in electronic format with permission by the Society of Exploration Geophysicists and the American Association of Petroleum GeologistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 15 Aug 2022 CITATION INFORMATION Michael Jorgensen, Michael S. Zhdanov, and Brian Parsons, (2022), "3D inversion of QMAGT airborne magnetic gradiometry data for susceptibility and magnetization vector models of the Thompson Nickel Belt in Manitoba, Canada," SEG Technical Program Expanded Abstracts : 1135-1139. https://doi.org/10.1190/image2022-3739311.1 Plain-Language Summary Keywordsmagnetic gradiometrymagnetization vectorinversionPDF DownloadLoading ...
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airborne magnetic gradiometry data,magnetization vector models,thompson nickel belt,manitoba,3d inversion
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