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3D tomographic inversion of TEM sounding data

V. S. Mogilatov, E. Yu. Antonov and A. N. Shein
3D tomographic inversion of TEM sounding data
Russian Geology and Geophysics (January 2019) 60 (1): 97-107

Abstract

One of the main objectives of geoelectric prospecting is mapping of the consolidated low-conductivity basement geometry. To resolve the issue, it will be equally important to delineate local structures at the bottom of the sedimentary complex and to estimate the misinterpretation of results due to the presence of areas with nonuniform conductivity in the stratified geologic cross section. Another relevant objective of EM sounding is to resolve the problem of delineation of anticlinal oil and gas traps. The horizontally layered model with a local inclusion of 3D abnormal areas is certain to fit for the above-mentioned objectives. The study is concerned with the technique of nonstationary EM sounding. When applied for the solution of structural problems, this technique considers the uniform distribution of fields within relatively large volume units of the space explored. Consequently, it results in the more efficient application of the perturbation technique (Born approximation) for the solution of the forward electrodynamics problem. The study presents the findings of 3D tomographic inversion with the use of synthetic and physical modeling data. They definitely allow us to acknowledge that the proposed mathematical apparatus for 3D inversion based on Born linearization of the forward problem has proved to be quite applicable.


ISSN: 1068-7971
Serial Title: Russian Geology and Geophysics
Serial Volume: 60
Serial Issue: 1
Title: 3D tomographic inversion of TEM sounding data
Affiliation: Russian Academy of Sciences, A. Trofimuk Institute of Petroleum Geology and Geophysics, Novosibirsk, Russian Federation
Pages: 97-107
Published: 201901
Text Language: English
Publisher: Allerton Press, New York, NY, United States
References: 25
Accession Number: 2020-084294
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Secondary Affiliation: Novosibirsk State University, RUS, Russian Federation
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2020, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 2020
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