Quantification of methane hydrate formation in the Large-scale Reservoir Laboratory Simulator (LARS) by numerical simulations
Natural gas hydrates are considered as one of the most promising alternatives to conventional fossil energy sources, and are thus subject to world-wide research activities for decades. Hydrate formation from methane dissolved in brine is a geogenic process, resulting in the accumulation of gas hydra...
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ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5007323 2023-05-15T17:11:40+02:00 Quantification of methane hydrate formation in the Large-scale Reservoir Laboratory Simulator (LARS) by numerical simulations Li, Z. Kempka, T. Spangenberg, E. Schicks, J. 2021 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007323 eng eng info:eu-repo/semantics/altIdentifier/doi/10.5194/egusphere-egu21-1312 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007323 Abstracts info:eu-repo/semantics/conferenceObject 2021 ftgfzpotsdam https://doi.org/10.5194/egusphere-egu21-1312 2022-09-14T05:57:51Z Natural gas hydrates are considered as one of the most promising alternatives to conventional fossil energy sources, and are thus subject to world-wide research activities for decades. Hydrate formation from methane dissolved in brine is a geogenic process, resulting in the accumulation of gas hydrates in sedimentary formations below the seabed or overlain by permafrost. The LArge scale Reservoir Simulator (LARS) has been developed (Schicks et al., 2011, 2013; Spangenberg et al., 2015) to investigate the formation and dissociation of gas hydrates under simulated in-situ conditions of hydrate deposits. Experimental measurements of the temperatures and bulk saturation of methane hydrates by electrical resistivity tomography have been used to determine the key parameters, describing and characterising methane hydrate formation dynamics in LARS. In the present study, a framework of equations of state to simulate equilibrium methane hydrate formation in LARS has been developed and coupled with the TRANsport Simulation Environment (Kempka, 2020) to study the dynamics of methane hydrate formation and quantify changes in the porous medium properties in LARS. We present our model implementation, its validation against TOUGH-HYDRATE (Gamwo & Liu, 2010) and the findings of the model comparison against the hydrate formation experiments undertaken by Priegnitz et al. (2015). The latter demonstrates that our numerical model implementation is capable of reproducing the main processes of hydrate formation in LARS, and thus may be applied for experiment design as well as to investigate the process of hydrate formation at specific geological settings. Conference Object Methane hydrate permafrost GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
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GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) |
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ftgfzpotsdam |
language |
English |
description |
Natural gas hydrates are considered as one of the most promising alternatives to conventional fossil energy sources, and are thus subject to world-wide research activities for decades. Hydrate formation from methane dissolved in brine is a geogenic process, resulting in the accumulation of gas hydrates in sedimentary formations below the seabed or overlain by permafrost. The LArge scale Reservoir Simulator (LARS) has been developed (Schicks et al., 2011, 2013; Spangenberg et al., 2015) to investigate the formation and dissociation of gas hydrates under simulated in-situ conditions of hydrate deposits. Experimental measurements of the temperatures and bulk saturation of methane hydrates by electrical resistivity tomography have been used to determine the key parameters, describing and characterising methane hydrate formation dynamics in LARS. In the present study, a framework of equations of state to simulate equilibrium methane hydrate formation in LARS has been developed and coupled with the TRANsport Simulation Environment (Kempka, 2020) to study the dynamics of methane hydrate formation and quantify changes in the porous medium properties in LARS. We present our model implementation, its validation against TOUGH-HYDRATE (Gamwo & Liu, 2010) and the findings of the model comparison against the hydrate formation experiments undertaken by Priegnitz et al. (2015). The latter demonstrates that our numerical model implementation is capable of reproducing the main processes of hydrate formation in LARS, and thus may be applied for experiment design as well as to investigate the process of hydrate formation at specific geological settings. |
format |
Conference Object |
author |
Li, Z. Kempka, T. Spangenberg, E. Schicks, J. |
spellingShingle |
Li, Z. Kempka, T. Spangenberg, E. Schicks, J. Quantification of methane hydrate formation in the Large-scale Reservoir Laboratory Simulator (LARS) by numerical simulations |
author_facet |
Li, Z. Kempka, T. Spangenberg, E. Schicks, J. |
author_sort |
Li, Z. |
title |
Quantification of methane hydrate formation in the Large-scale Reservoir Laboratory Simulator (LARS) by numerical simulations |
title_short |
Quantification of methane hydrate formation in the Large-scale Reservoir Laboratory Simulator (LARS) by numerical simulations |
title_full |
Quantification of methane hydrate formation in the Large-scale Reservoir Laboratory Simulator (LARS) by numerical simulations |
title_fullStr |
Quantification of methane hydrate formation in the Large-scale Reservoir Laboratory Simulator (LARS) by numerical simulations |
title_full_unstemmed |
Quantification of methane hydrate formation in the Large-scale Reservoir Laboratory Simulator (LARS) by numerical simulations |
title_sort |
quantification of methane hydrate formation in the large-scale reservoir laboratory simulator (lars) by numerical simulations |
publishDate |
2021 |
url |
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007323 |
genre |
Methane hydrate permafrost |
genre_facet |
Methane hydrate permafrost |
op_source |
Abstracts |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/egusphere-egu21-1312 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5007323 |
op_doi |
https://doi.org/10.5194/egusphere-egu21-1312 |
_version_ |
1766068453722030080 |