Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data
Subsea permafrost stability is the key to whether pre-performed methane sequestered in hydrate deposits escapes to the overlying strata. By making use of the 1D numerical modeling and field data, we analyze the capabilities of the time-domain (transient) electromagnetic method (TDEM) when being appl...
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2023
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ftdoajarticles:oai:doaj.org/article:ca8f22c29d394091be54e873b9b012fa 2023-06-11T04:08:58+02:00 Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data Dmitry A. Alekseev Andrey V. Koshurnikov Alexey Yu. Gunar Ermolay I. Balikhin Igor P. Semiletov Natalia E. Shakhova Nikolay A. Palshin Leopold I. Lobkovsky 2023-05-01T00:00:00Z https://doi.org/10.3390/geosciences13050144 https://doaj.org/article/ca8f22c29d394091be54e873b9b012fa EN eng MDPI AG https://www.mdpi.com/2076-3263/13/5/144 https://doaj.org/toc/2076-3263 doi:10.3390/geosciences13050144 2076-3263 https://doaj.org/article/ca8f22c29d394091be54e873b9b012fa Geosciences, Vol 13, Iss 144, p 144 (2023) East Siberian Arctic Shelf methane fluxes subsea permafrost permafrost thawing time-domain electromagnetics resistivity imaging Geology QE1-996.5 article 2023 ftdoajarticles https://doi.org/10.3390/geosciences13050144 2023-05-28T00:34:03Z Subsea permafrost stability is the key to whether pre-performed methane sequestered in hydrate deposits escapes to the overlying strata. By making use of the 1D numerical modeling and field data, we analyze the capabilities of the time-domain (transient) electromagnetic method (TDEM) when being applied for subsea permafrost mapping, and study the effect of the background resistivity structure on the inversion models’ accuracy for a series of settings typical for the East Siberian Arctic Shelf—the broadest and shallowest shelf in the world ocean, which represents more than 70% of the subsea permafrost. The synthetic response analysis included the construction of a series of resistivity models corresponding to different settings (presence/absence of ice-bonded permafrost layer, different position of its top and bottom boundaries, different width and thickness of thawed bodies or taliks, variable seawater depth and its resistivity), and calculation of synthetic apparent resistivity responses used to assess their sensitivity to changes in the target parameters of the resistivity structure. This was followed by regularized inversion of synthetic responses and comparing resulting models with original (true) ones, which allowed us to understand the possible uncertainties in the geometry and resistivity of the reconstructed permafrost layer, depending on seawater depth and unfrozen layer thickness, as well as confirm the overall efficacy of TDEM technology for the subsea permafrost imaging. That is crucially important for understanding the current state of the subsea permafrost-hydrate system and possible future dynamics. Article in Journal/Newspaper Arctic Ice permafrost Directory of Open Access Journals: DOAJ Articles Arctic Geosciences 13 5 144 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
East Siberian Arctic Shelf methane fluxes subsea permafrost permafrost thawing time-domain electromagnetics resistivity imaging Geology QE1-996.5 |
spellingShingle |
East Siberian Arctic Shelf methane fluxes subsea permafrost permafrost thawing time-domain electromagnetics resistivity imaging Geology QE1-996.5 Dmitry A. Alekseev Andrey V. Koshurnikov Alexey Yu. Gunar Ermolay I. Balikhin Igor P. Semiletov Natalia E. Shakhova Nikolay A. Palshin Leopold I. Lobkovsky Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data |
topic_facet |
East Siberian Arctic Shelf methane fluxes subsea permafrost permafrost thawing time-domain electromagnetics resistivity imaging Geology QE1-996.5 |
description |
Subsea permafrost stability is the key to whether pre-performed methane sequestered in hydrate deposits escapes to the overlying strata. By making use of the 1D numerical modeling and field data, we analyze the capabilities of the time-domain (transient) electromagnetic method (TDEM) when being applied for subsea permafrost mapping, and study the effect of the background resistivity structure on the inversion models’ accuracy for a series of settings typical for the East Siberian Arctic Shelf—the broadest and shallowest shelf in the world ocean, which represents more than 70% of the subsea permafrost. The synthetic response analysis included the construction of a series of resistivity models corresponding to different settings (presence/absence of ice-bonded permafrost layer, different position of its top and bottom boundaries, different width and thickness of thawed bodies or taliks, variable seawater depth and its resistivity), and calculation of synthetic apparent resistivity responses used to assess their sensitivity to changes in the target parameters of the resistivity structure. This was followed by regularized inversion of synthetic responses and comparing resulting models with original (true) ones, which allowed us to understand the possible uncertainties in the geometry and resistivity of the reconstructed permafrost layer, depending on seawater depth and unfrozen layer thickness, as well as confirm the overall efficacy of TDEM technology for the subsea permafrost imaging. That is crucially important for understanding the current state of the subsea permafrost-hydrate system and possible future dynamics. |
format |
Article in Journal/Newspaper |
author |
Dmitry A. Alekseev Andrey V. Koshurnikov Alexey Yu. Gunar Ermolay I. Balikhin Igor P. Semiletov Natalia E. Shakhova Nikolay A. Palshin Leopold I. Lobkovsky |
author_facet |
Dmitry A. Alekseev Andrey V. Koshurnikov Alexey Yu. Gunar Ermolay I. Balikhin Igor P. Semiletov Natalia E. Shakhova Nikolay A. Palshin Leopold I. Lobkovsky |
author_sort |
Dmitry A. Alekseev |
title |
Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data |
title_short |
Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data |
title_full |
Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data |
title_fullStr |
Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data |
title_full_unstemmed |
Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data |
title_sort |
time-domain electromagnetics for subsea permafrost mapping in the arctic: the synthetic response analyses and uncertainty estimates from numerical modelling data |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/geosciences13050144 https://doaj.org/article/ca8f22c29d394091be54e873b9b012fa |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Ice permafrost |
genre_facet |
Arctic Ice permafrost |
op_source |
Geosciences, Vol 13, Iss 144, p 144 (2023) |
op_relation |
https://www.mdpi.com/2076-3263/13/5/144 https://doaj.org/toc/2076-3263 doi:10.3390/geosciences13050144 2076-3263 https://doaj.org/article/ca8f22c29d394091be54e873b9b012fa |
op_doi |
https://doi.org/10.3390/geosciences13050144 |
container_title |
Geosciences |
container_volume |
13 |
container_issue |
5 |
container_start_page |
144 |
_version_ |
1768382627569467392 |