Time-Domain Electromagnetics for Subsea Permafrost Mapping in the Arctic: The Synthetic Response Analyses and Uncertainty Estimates from Numerical Modelling Data

Author:

Alekseev Dmitry A.12345,Koshurnikov Andrey V.16,Gunar Alexey Yu.16,Balikhin Ermolay I.6,Semiletov Igor P.12,Shakhova Natalia E.127,Palshin Nikolay A.3ORCID,Lobkovsky Leopold I.123

Affiliation:

1. Institute of Natural Resources, Tomsk State University, 36 Leninsky Ave., 634050 Tomsk, Russia

2. V.I. Il’ichev Pacific Oceanological Institute, Far Eastern Branch Russian Academy of Sciences, 690041 Vladivostok, Russia

3. Shirshov Institute of Oceanology of the Russian Academy of Sciences, 117997 Moscow, Russia

4. Phystech School of Radio Engineering and Computer Technology, Moscow Institute of Physics and Technology (MIPT), 141700 Dolgoprudny, Russia

5. Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, 123242 Moscow, Russia

6. Faculty of Geology, Lomonosov Moscow State University, 119991 Moscow, Russia

7. Sadovsky Institute of Geosphere Dynamics, Russian Academy of Sciences, 119334 Moscow, Russia

Abstract

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.

Funder

Tomsk State University Russian Federation

Russian Science Foundation

P.P. Shirshov Institute of Oceanology

Russian Ministry of Science and Education

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference48 articles.

1. Arctic Climate Impact Assessment (2005). ACIA Overview Report, Cambridge University Press.

2. Soloviev, V.A. (2000, January 5–9). Gas-hydrate-prone areas of the ocean and gas-hydrate accumulations. Proceedings of the Sixth International Conference on Gas in Marine Sediments, St. Petersburg, Russia.

3. Sommerkorn, M., and Hassol, S.J. (2009). Arctic Climate Feedbacks: Global Implications, WWF International Arctic Programme August.

4. Shakhova, N., Semiletov, I., and Chuvilin, E. (2019). Understanding the permafrost–hydrate system and associated methane releases in the East Siberian Arctic Shelf. Geosciences, 9.

5. The Beaufort Sea continental shelf as a seasonal source of atmospheric methane;Kvenvolden;Geophys. Res. Lett.,1993

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