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...

Full description

Bibliographic Details
Published in:Geosciences
Main Authors: Dmitry A. Alekseev, Andrey V. Koshurnikov, Alexey Yu. Gunar, Ermolay I. Balikhin, Igor P. Semiletov, Natalia E. Shakhova, Nikolay A. Palshin, Leopold I. Lobkovsky
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2023
Subjects:
Ice
Online Access:https://doi.org/10.3390/geosciences13050144
https://doaj.org/article/ca8f22c29d394091be54e873b9b012fa
id ftdoajarticles:oai:doaj.org/article:ca8f22c29d394091be54e873b9b012fa
record_format openpolar
spelling 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