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3-D DC resistivity modeling and inversion using multi-resolution framework
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Geosciences and Environmental Engineering.ORCID iD: 0000-0002-7484-667x
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Geosciences and Environmental Engineering.ORCID iD: 0000-0002-5600-5375
University of Cologne, Köln, Germany.
Oregon State University, Corvallis, US.
2019 (English)In: ASEG Extended Abstracts, ISSN 2202-0586Article in journal (Refereed) Epub ahead of print
Abstract [en]

We discuss the implementation of multi-resolution framework to 3-D Direct Current (DC) problem. Commonly used staggered (SG) grid fixes the horizontal grid resolution for all depths. Thus, employing the fine horizontal resolution may lead to an over-discretised forward problem, subsequently affecting the performance of the inversion. We implemented a novel multi-resolution (MR) grid approach to the 3-D DC modeling and inversion problem, which allows adjustment of the horizontal resolution with depth. By using finer resolution for the near-surface regions, MR grid can ensure the modeling accuracy and describe the shallow features in the inversion model as well. The ability to use relatively coarser horizontal resolution for the deeper regions reduces the computation costs compare to the SG grid modeling. As a result, modeling and inversion can be accelerated several times by solving a smaller problem. Our grid resembles non-conformal rectangular grid, which commonly used in finite-elements modelling.

Place, publisher, year, edition, pages
Taylor & Francis, 2019.
Keywords [en]
Direct Current Resistivity method, multi-resolution grid, modeling, inversion
National Category
Geophysics
Research subject
Exploration Geophysics
Identifiers
URN: urn:nbn:se:ltu:diva-77215DOI: 10.1080/22020586.2019.12073116OAI: oai:DiVA.org:ltu-77215DiVA, id: diva2:1380217
Conference
2nd Australian Exploration Geoscience Conference: Data to Discovery
Note

Konferensartikel i tidskrift

Available from: 2019-12-18 Created: 2019-12-18 Last updated: 2019-12-18

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Gao, JingyuSmirnov, Maxim

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