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Effect of tilted uniaxial electrical anisotropy parameters on signals of electric and electromagnetic logging soundings according to results of numerical simulation

M. I. Epov, I. A. Moskaev, O. V. Nechaev and V. N. Glinskikh
Effect of tilted uniaxial electrical anisotropy parameters on signals of electric and electromagnetic logging soundings according to results of numerical simulation
Russian Geology and Geophysics (February 2023) 64 (6): 735-742

Abstract

To study the effect of tilted uniaxial electrical anisotropy parameters on electric and electromagnetic logging signals, their numerical simulation and comparative analysis in homogeneous and layered models have been performed. An algorithm for three-dimensional numerical simulation of resistivity logging signals in spatially heterogeneous models with tilted principal axes of the electrical conductivity tensor, based on the finite-element method, was used in the calculations. The obtained results indicate the potential for a more accurate estimation of electrophysical properties of fractured carbonate reservoirs of the pre-Jurassic basement of West Siberia, which are characterized by the tilt of the electrical conductivity tensor principal axes.


ISSN: 1068-7971
EISSN: 1878-030X
Serial Title: Russian Geology and Geophysics
Serial Volume: 64
Serial Issue: 6
Title: Effect of tilted uniaxial electrical anisotropy parameters on signals of electric and electromagnetic logging soundings according to results of numerical simulation
Affiliation: Siberian Branch of the Russian Academy of Sciences, Trofimuk Institute of Petroleum Geology and Geophysics, Novosibirsk, Russian Federation
Pages: 735-742
Published: 20230209
Text Language: English
Publisher: Novosibirsk State University, Novosibirsk, Russian Federation
References: 41
Accession Number: 2023-044781
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 1 table
N50°00'00" - N82°00'00", E62°00'00" - E114°00'00"
Country of Publication: Russian Federation
Secondary Affiliation: GeoRef, Copyright 2023, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202328
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