(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

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingspeer-review

    Abstract

    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.

    Original languageEnglish
    Title of host publicationComputational Science and Its Applications – ICCSA 2023 Workshops
    Subtitle of host publicationAthens, Greece, July 3–6, 2023, Proceedings, Part VIII
    EditorsOsvaldo Gervasi, Beniamino Murgante, Francesco Scorza, Ana Maria A.C. Rocha, Chiara Garau, Yeliz Karaca, Carmelo M. Torre
    PublisherSpringer
    Pages624-638
    Number of pages15
    ISBN (Electronic)978-3-031-37126-4
    ISBN (Print)978-3-031-37125-7
    DOIs
    Publication statusPublished - 30 Jul 2023
    Event23rd International Conference on Computational Science and Its Applications, ICCSA 2023 - Athens, Greece
    Duration: 3 Jul 20236 Jul 2023

    Publication series

    SeriesLecture Notes in Computer Science
    Volume14111
    ISSN0302-9743

    Conference

    Conference23rd International Conference on Computational Science and Its Applications, ICCSA 2023
    Country/TerritoryGreece
    CityAthens
    Period3/07/236/07/23

    Keywords

    • Electromagnetic Induction
    • Realistic Prior Distribution
    • Spatially Constrained Inversion

    Programme Area

    • Programme Area 5: Nature and Climate

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