(Pseudo-)3D inversion of geophysical electromagnetic induction data by using an arbitrary prior and constrained to ancillary information

Nicola Zaru, Matteo Rossi, Giuseppina Vacca, Giulio Vignoli

    Publikation: Bidrag til bog/rapport/konferenceproceedingsKonferenceartikel i proceedingspeer review

    Resumé

    Electromagnetic induction (EMI) methods are often used to map rapidly large areas with minimal logistical efforts. However, they are limited by a small number of frequencies and by their severe ill-posedness. On the other hand, electrical resistivity tomography (ERT) results are generally considered more reliable, with no need for specific calibration procedures and easy 2D/3D inversion. Still, ERT surveys are definitely more time-consuming, and, ideally, an approach with the advantages of both EMI and ERT would be optimal. The present research addresses this issue by incorporating realistic constraints into EMI inversion, going beyond simplistic spatial constraints like smooth or sharp regularization terms, while taking into consideration the ancillary information already available about the investigated site. We demonstrate how additional pre-existing information, such as a reference model (i.e., an existing ERT section) can enhance the EMI inversion. The study verifies the results against observations from boreholes.

    OriginalsprogEngelsk
    TitelComputational Science and Its Applications – ICCSA 2023 Workshops
    UndertitelAthens, Greece, July 3–6, 2023, Proceedings, Part VIII
    RedaktørerOsvaldo Gervasi, Beniamino Murgante, Francesco Scorza, Ana Maria A.C. Rocha, Chiara Garau, Yeliz Karaca, Carmelo M. Torre
    ForlagSpringer
    Sider624-638
    Antal sider15
    ISBN (Elektronisk)978-3-031-37126-4
    ISBN (Trykt)978-3-031-37125-7
    DOI
    StatusUdgivet - 30 jul. 2023
    Begivenhed23rd International Conference on Computational Science and Its Applications, ICCSA 2023 - Athens, Grækenland
    Varighed: 3 jul. 20236 jul. 2023

    Publikationsserier

    NavnLecture Notes in Computer Science
    Vol/bind14111
    ISSN0302-9743

    Konference

    Konference23rd International Conference on Computational Science and Its Applications, ICCSA 2023
    Land/OmrådeGrækenland
    ByAthens
    Periode3/07/236/07/23

    Programområde

    • Programområde 5: Natur og klima

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