Numerical modeling of methane hydrates dissociation in the submarine permafrost
Abstract In this study, we evaluate the sensitivity of gas hydrate reservoirs associated with submarine permafrost conditions to changes in global climate. We apply numerical simulations to assess the timings of methane hydrate dissociation on the East Siberian Arctic Shelf after flooding the shelf...
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crioppubl:10.1088/1755-1315/1040/1/012022 2024-10-29T17:45:43+00:00 Numerical modeling of methane hydrates dissociation in the submarine permafrost Malakhova, V V 2022 http://dx.doi.org/10.1088/1755-1315/1040/1/012022 https://iopscience.iop.org/article/10.1088/1755-1315/1040/1/012022 https://iopscience.iop.org/article/10.1088/1755-1315/1040/1/012022/pdf unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 1040, issue 1, page 012022 ISSN 1755-1307 1755-1315 journal-article 2022 crioppubl https://doi.org/10.1088/1755-1315/1040/1/012022 2024-10-07T04:23:41Z Abstract In this study, we evaluate the sensitivity of gas hydrate reservoirs associated with submarine permafrost conditions to changes in global climate. We apply numerical simulations to assess the timings of methane hydrate dissociation on the East Siberian Arctic Shelf after flooding the shelf with the seawater. The modeling combines a model of submarine permafrost evolution with a model of methane hydrate dissociation that accounts for the consumption of latent heat during hydrate dissociation. Based on the analysis of the performed experiments, we found that the endothermic reaction is a significant mechanism for slowing hydrate dissociation in frozen sediments. As a result, it additionally increases the lag of the subsea permafrost and hydrates stability zone response to glacial cycles. Article in Journal/Newspaper Methane hydrate permafrost IOP Publishing Arctic IOP Conference Series: Earth and Environmental Science 1040 1 012022 |
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Abstract In this study, we evaluate the sensitivity of gas hydrate reservoirs associated with submarine permafrost conditions to changes in global climate. We apply numerical simulations to assess the timings of methane hydrate dissociation on the East Siberian Arctic Shelf after flooding the shelf with the seawater. The modeling combines a model of submarine permafrost evolution with a model of methane hydrate dissociation that accounts for the consumption of latent heat during hydrate dissociation. Based on the analysis of the performed experiments, we found that the endothermic reaction is a significant mechanism for slowing hydrate dissociation in frozen sediments. As a result, it additionally increases the lag of the subsea permafrost and hydrates stability zone response to glacial cycles. |
format |
Article in Journal/Newspaper |
author |
Malakhova, V V |
spellingShingle |
Malakhova, V V Numerical modeling of methane hydrates dissociation in the submarine permafrost |
author_facet |
Malakhova, V V |
author_sort |
Malakhova, V V |
title |
Numerical modeling of methane hydrates dissociation in the submarine permafrost |
title_short |
Numerical modeling of methane hydrates dissociation in the submarine permafrost |
title_full |
Numerical modeling of methane hydrates dissociation in the submarine permafrost |
title_fullStr |
Numerical modeling of methane hydrates dissociation in the submarine permafrost |
title_full_unstemmed |
Numerical modeling of methane hydrates dissociation in the submarine permafrost |
title_sort |
numerical modeling of methane hydrates dissociation in the submarine permafrost |
publisher |
IOP Publishing |
publishDate |
2022 |
url |
http://dx.doi.org/10.1088/1755-1315/1040/1/012022 https://iopscience.iop.org/article/10.1088/1755-1315/1040/1/012022 https://iopscience.iop.org/article/10.1088/1755-1315/1040/1/012022/pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Methane hydrate permafrost |
genre_facet |
Methane hydrate permafrost |
op_source |
IOP Conference Series: Earth and Environmental Science volume 1040, issue 1, page 012022 ISSN 1755-1307 1755-1315 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1755-1315/1040/1/012022 |
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IOP Conference Series: Earth and Environmental Science |
container_volume |
1040 |
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1 |
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012022 |
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1814274993511464960 |