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dc.contributor.authorWang, Bochen
dc.contributor.authorLiu, Jianxin
dc.contributor.authorHu, Xiangping
dc.contributor.authorLiu, Jiawei
dc.contributor.authorGuo, Zhenwei
dc.contributor.authorXiao, Jianping
dc.date.accessioned2021-11-16T12:52:34Z
dc.date.available2021-11-16T12:52:34Z
dc.date.created2021-09-24T09:09:22Z
dc.date.issued2021
dc.identifier.citationJournal of Applied Geophysics. 2021, 194 .en_US
dc.identifier.issn0926-9851
dc.identifier.urihttps://hdl.handle.net/11250/2829855
dc.description.abstractElectromagnetic forward modeling is the cornerstone of geophysical electromagnetic inversion. During the last 50 years, numerical simulation methods have been rapidly developed and widely used in geophysical area as the computational capacity continued to increase, such as from single-core to the most modern multi-core processing cards. This paper reviews the literature of electromagnetic fields simulation, particularly focusing on the forward modeling methods include finite difference method, finite element method, integral equation method, and several hybrid methods. We also discuss the possibility of deep learning methods for EM modeling. By sorting out the work done by the predecessors, this review briefly introduces the basic principles and traces back the development of these methods. We propose a Qualitative Evaluation Model named STAMP Model and some criterias of qualitative evaluation on these methods will be discussed in this model.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleGeophysical electromagnetic modeling and evaluation: A reviewen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holderThis is the authors' accepted manuscript to an article published by Elsevier. Locked until 17.9.2023 due to copyright restrictions. The AAM is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.source.pagenumber20en_US
dc.source.volume194en_US
dc.source.journalJournal of Applied Geophysicsen_US
dc.identifier.doi10.1016/j.jappgeo.2021.104438
dc.identifier.cristin1937995
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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