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JOURNALS // Sibirskii Zhurnal Industrial'noi Matematiki // Archive

Sib. Zh. Ind. Mat., 2024 Volume 27, Number 4, Pages 181–192 (Mi sjim1310)

Numerical modeling of the induction logging signal in anisotropic oil and gas reservoirs with a layered structure

M. I. Epova, E. P. Shurinab, D. A. Arkhipova, D. V. Dobrolyubovaa, N. V. Shtabel'a, E. I. Shtan'koa

a Trofimuk Institute of Petroleum Geology and Geophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090 Russia
b Novosibirsk State University, Novosibirsk, 630090 Russia

Abstract: The aim of this work is to analyze the effect of the anisotropic nature of the electric conductivity in an oil-bearing formation on the induction logging signal. The numerical modelling of the logging signal from a device consisting of an alternating current excitation coil and two receiving coils moved along the wellbore is carried out. The electromotive force induced in the receiving coils is investigated. The electric conductivity of the oil-bearing formation is characterized by either a diagonal tensor with dominant $\sigma_{xx}$, $\sigma_{yy}$ components or a dense tensor obtained by rotation to a specified zenith angle. Numerical modeling is performed with the vector finite element method on an adaptive unstructured tetrahedral grid taking into account the geometry of the logging device, vertical well, and layered host medium. The tensor electric conductivity is plugged into the variational formulation. Dependences of the apparent electric conductivity of the depth are obtained based on the electromotive force induced in the receiving coils.

Keywords: Maxwell's system of equations, anisotropy, vector finite element method, apparent electric conductivity, induction logging.

UDC: 550.832

Received: 26.04.2024
Revised: 26.04.2024
Accepted: 06.11.2024

DOI: 10.33048/SIBJIM.2024.27.412


 English version:
Journal of Applied and Industrial Mathematics, 2024, 18:4, 669–678


© Steklov Math. Inst. of RAS, 2026