Mathematical Modeling of the Electromagnetic Field from a Solenoidal Coil in the Frequency Domain

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High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production (HPCST 2022)

Abstract

Numerical estimates of the measured electromotive force (EMF) for the electric field excited by a multi-turn solenoidal coil depend on the way the field source is approximated. The simple representation of the source as a point dipole is correct for measurements in the far field. For measurements in the vicinity of the field source, this method of approximation may give unreliable results. This paper proposes two ways of approximating a multi-turn solenoidal coil: surface approximation or single-coil approximation. Here we present the numerical simulation of the downhole logging procedure. As a result, we show the three-dimensional electromagnetic field, an electromotive force (EMF) induced in the receiver coils, and the phase difference of EMF depending on the method of source approximation. To calculate the three-dimensional electromagnetic field, the vector finite element method on the tetrahedral unstructured partition was used. The difference in the electromagnetic field configuration for different source approximation methods is shown. The effect of the number of cores on the time of solving a finite element system of linear algebraic equations is demonstrated. The use of a larger number of processor cores makes it possible to significantly reduce the time of solving the problem.

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Acknowledgements

The research was supported by Project No. FWZZ-2022–0025.

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Correspondence to Nadezhda Shtabel .

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Arhipov, D., Shtabel, N., Shurina, E.P. (2023). Mathematical Modeling of the Electromagnetic Field from a Solenoidal Coil in the Frequency Domain. In: Jordan, V., Tarasov, I., Shurina, E., Filimonov, N., Faerman, V. (eds) High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production. HPCST 2022. Communications in Computer and Information Science, vol 1733. Springer, Cham. https://doi.org/10.1007/978-3-031-23744-7_8

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  • DOI: https://doi.org/10.1007/978-3-031-23744-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23743-0

  • Online ISBN: 978-3-031-23744-7

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