Glinskikh, V.; Nechaev, O.; Mikhaylov, I.; Nikitenko, M.; Danilovskiy, K. Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks. Mathematics2024, 12, 585.
Glinskikh, V.; Nechaev, O.; Mikhaylov, I.; Nikitenko, M.; Danilovskiy, K. Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks. Mathematics 2024, 12, 585.
Glinskikh, V.; Nechaev, O.; Mikhaylov, I.; Nikitenko, M.; Danilovskiy, K. Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks. Mathematics2024, 12, 585.
Glinskikh, V.; Nechaev, O.; Mikhaylov, I.; Nikitenko, M.; Danilovskiy, K. Transient Electromagnetic Monitoring of Permafrost: Mathematical Modeling Based on Sumudu Integral Transform and Artificial Neural Networks. Mathematics 2024, 12, 585.
Abstract
Due to the ongoing global warming on the Earth, permafrost degradation has been extensively taking place, which poses a substantial threat to civil and industrial facilities and infrastructure elements, as well as to the utilization of natural resources in the Arctic and high-latitude regions. In order to prevent the negative consequences of permafrost thawing under the foundations of constructions, various geophysical techniques for monitoring permafrost have been proposed and applied so far: temperature, electrical, seismic and many others. At the same time, non-stationary electromagnetic methods seem to have significant potential and a number of important practical advantages. We propose a cross-borehole exploration system for the highest localization of target objects in the cryolithozone. A novel mathematical apparatus for three-dimensional modeling of transient electromagnetic (TEM) signals by the vector finite element method has been developed. The original combination of the latter, the Sumudu integral transform and artificial neural networks makes it possible to examine spatially heterogeneous objects of the cryolithozone with a high contrast of geoelectric parameters, significantly reducing computational costs. We have studied the sensitivity of the TEM signals to the boundary between thawed and frozen rocks depending on the inter-borehole distance and spatial orientations of the transmitters and receivers. Numerical simulation results of the TEM monitoring of industrial facilities located on permafrost are considered. The formation of a talik has been shown to significantly manifest itself in the measured electromagnetic responses, which enables timely prevention of industrial disasters and environmental catastrophes.
Keywords
permafrost; TEM monitoring; cross-borehole exploration; Subudu transform; vector finite element method; artificial neural networks; geoelectric model; numerical modeling
Subject
Environmental and Earth Sciences, Geophysics and Geology
Copyright:
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