TRANSIENT ELECTROMAGNETIC MONITORING OF THE CRYOLITHOZONE: MATHEMATICAL MODELING

Abstract ––The paper presents theoretical results on mathematical modeling and numerical inversion of transient electromagnetic data for the monitoring of the state of the cryolithozone. Solutions to the direct and inverse problems are considered based on the vector finite element method, the Sumudu integral transform and the apparatus of artificial neural networks. We show the capability of spatial localization of thaw zones (taliks) with transient cross-borehole exploration systems in a geoelectric model that takes into account the dispersive properties of frozen rocks. The performance and accuracy of the developed algorithms are assessed.

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Publication Details

Journal
Russian Geology and Geophysics
Published
2024-09-23
DOI
https://doi.org/10.2113/rgg20244777
Citations
1
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
0.53
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article

TRANSIENT ELECTROMAGNETIC MONITORING OF THE CRYOLITHOZONE: MATHEMATICAL MODELING

М.И. Эпов, K.N. Danilovskiy, В.Н. Глинских, I.V. Mikhaylov et al.
1 citations
Russian Geology and Geophysics
Geophysical and Geoelectrical Methods
0.53
article

TRANSIENT ELECTROMAGNETIC MONITORING OF THE CRYOLITHOZONE: MATHEMATICAL MODELING

М.И. Эпов, K.N. Danilovskiy, В.Н. Глинских, I.V. Mikhaylov, О.В. Нечаев
article en
1 citations

Abstract

Abstract ––The paper presents theoretical results on mathematical modeling and numerical inversion of transient electromagnetic data for the monitoring of the state of the cryolithozone. Solutions to the direct and inverse problems are considered based on the vector finite element method, the Sumudu integral transform and the apparatus of artificial neural networks. We show the capability of spatial localization of thaw zones (taliks) with transient cross-borehole exploration systems in a geoelectric model that takes into account the dispersive properties of frozen rocks. The performance and accuracy of the developed algorithms are assessed.

Russian Geology and GeophysicsVol. 66(1)
Novosibirsk State University (RU), Institute of Petroleum Geology and Geophysics (RU)
Openalex Percentile: Top 34%
Geophysical and Geoelectrical Methods
0.53
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