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Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media

Underground hydrogen storage (UHS) in initially brine-saturated deep porous rocks is a promising large-scale energy storage technology, due to hydrogen’s high specific energy capacity and the high volumetric capacity of aquifers. Appropriate selection of a feasible and safe storage site vitally depe...

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Autores principales: Hashemi, Leila, Blunt, Martin, Hajibeygi, Hadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052453/
https://www.ncbi.nlm.nih.gov/pubmed/33863943
http://dx.doi.org/10.1038/s41598-021-87490-7
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author Hashemi, Leila
Blunt, Martin
Hajibeygi, Hadi
author_facet Hashemi, Leila
Blunt, Martin
Hajibeygi, Hadi
author_sort Hashemi, Leila
collection PubMed
description Underground hydrogen storage (UHS) in initially brine-saturated deep porous rocks is a promising large-scale energy storage technology, due to hydrogen’s high specific energy capacity and the high volumetric capacity of aquifers. Appropriate selection of a feasible and safe storage site vitally depends on understanding hydrogen transport characteristics in the subsurface. Unfortunately there exist no robust experimental analyses in the literature to properly characterise this complex process. As such, in this work, we present a systematic pore-scale modelling study to quantify the crucial reservoir-scale functions of relative permeability and capillary pressure and their dependencies on fluid and reservoir rock conditions. To conduct a conclusive study, in the absence of sufficient experimental data, a rigorous sensitivity analysis has been performed to quantify the impacts of uncertain fluid and rock properties on these upscaled functions. The parameters are varied around a base-case, which is obtained through matching to the existing experimental study. Moreover, cyclic hysteretic multiphase flow is also studied, which is a relevant aspect for cyclic hydrogen-brine energy storage projects. The present study applies pore-scale analysis to predict the flow of hydrogen in storage formations, and to quantify the sensitivity to the micro-scale characteristics of contact angle (i.e., wettability) and porous rock structure.
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spelling pubmed-80524532021-04-22 Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media Hashemi, Leila Blunt, Martin Hajibeygi, Hadi Sci Rep Article Underground hydrogen storage (UHS) in initially brine-saturated deep porous rocks is a promising large-scale energy storage technology, due to hydrogen’s high specific energy capacity and the high volumetric capacity of aquifers. Appropriate selection of a feasible and safe storage site vitally depends on understanding hydrogen transport characteristics in the subsurface. Unfortunately there exist no robust experimental analyses in the literature to properly characterise this complex process. As such, in this work, we present a systematic pore-scale modelling study to quantify the crucial reservoir-scale functions of relative permeability and capillary pressure and their dependencies on fluid and reservoir rock conditions. To conduct a conclusive study, in the absence of sufficient experimental data, a rigorous sensitivity analysis has been performed to quantify the impacts of uncertain fluid and rock properties on these upscaled functions. The parameters are varied around a base-case, which is obtained through matching to the existing experimental study. Moreover, cyclic hysteretic multiphase flow is also studied, which is a relevant aspect for cyclic hydrogen-brine energy storage projects. The present study applies pore-scale analysis to predict the flow of hydrogen in storage formations, and to quantify the sensitivity to the micro-scale characteristics of contact angle (i.e., wettability) and porous rock structure. Nature Publishing Group UK 2021-04-16 /pmc/articles/PMC8052453/ /pubmed/33863943 http://dx.doi.org/10.1038/s41598-021-87490-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hashemi, Leila
Blunt, Martin
Hajibeygi, Hadi
Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media
title Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media
title_full Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media
title_fullStr Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media
title_full_unstemmed Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media
title_short Pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media
title_sort pore-scale modelling and sensitivity analyses of hydrogen-brine multiphase flow in geological porous media
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052453/
https://www.ncbi.nlm.nih.gov/pubmed/33863943
http://dx.doi.org/10.1038/s41598-021-87490-7
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