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The upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis

Subsurface sandstone deposits represent globally ubiquitous reservoirs which can potentially provide the characteristics necessary for the effective geological storage of CO(2). Geological carbon storage is widely agreed to be a key asset in tackling anthropogenic emissions and climate change to rea...

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Autores principales: Payton, Ryan L., Chiarella, Domenico, Kingdon, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253316/
https://www.ncbi.nlm.nih.gov/pubmed/35788682
http://dx.doi.org/10.1038/s41598-022-15651-3
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author Payton, Ryan L.
Chiarella, Domenico
Kingdon, Andrew
author_facet Payton, Ryan L.
Chiarella, Domenico
Kingdon, Andrew
author_sort Payton, Ryan L.
collection PubMed
description Subsurface sandstone deposits represent globally ubiquitous reservoirs which can potentially provide the characteristics necessary for the effective geological storage of CO(2). Geological carbon storage is widely agreed to be a key asset in tackling anthropogenic emissions and climate change to reach a sustainable ‘net zero’, despite the present financial challenges associated with it. Therefore, improved understanding of the characteristics of the materials in which we plan to store many gigatons of CO(2) is critical. Developing cheaper characterisation techniques is therefore crucial to support the global push for net zero. In this work we use digital analysis of 3D microscale X-ray images of a range of sandstone samples to constrain the porosity–permeability relationship and the upper percolation threshold; the point at which near full pore structure connectivity is achieved. This is one of the most significant controls on the viability of carbon storage as a practical solution to achieving net zero. We find that the upper percolation threshold in sandstone occurs at ca. 14% total porosity whilst the relationship between porosity ([Formula: see text] ) and permeability ([Formula: see text] ) can be defined as [Formula: see text] . The investigation of the upper percolation threshold may allow a target criterion to be designated when assessing potential carbon storage reservoirs, whilst investigation of the porosity–permeability relationship allows for a greater understanding of the fluid flow regimes in the subsurface. By using a digital technique to assess carbon storage reservoir potentiality we show that initial characterisation of reservoirs can be carried out rapidly and relatively economically, prior to further full reservoir characterisation studies. This approach is also non-destructive, allowing samples to be reused and multiple analytical phases performed on the same materials.
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spelling pubmed-92533162022-07-06 The upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis Payton, Ryan L. Chiarella, Domenico Kingdon, Andrew Sci Rep Article Subsurface sandstone deposits represent globally ubiquitous reservoirs which can potentially provide the characteristics necessary for the effective geological storage of CO(2). Geological carbon storage is widely agreed to be a key asset in tackling anthropogenic emissions and climate change to reach a sustainable ‘net zero’, despite the present financial challenges associated with it. Therefore, improved understanding of the characteristics of the materials in which we plan to store many gigatons of CO(2) is critical. Developing cheaper characterisation techniques is therefore crucial to support the global push for net zero. In this work we use digital analysis of 3D microscale X-ray images of a range of sandstone samples to constrain the porosity–permeability relationship and the upper percolation threshold; the point at which near full pore structure connectivity is achieved. This is one of the most significant controls on the viability of carbon storage as a practical solution to achieving net zero. We find that the upper percolation threshold in sandstone occurs at ca. 14% total porosity whilst the relationship between porosity ([Formula: see text] ) and permeability ([Formula: see text] ) can be defined as [Formula: see text] . The investigation of the upper percolation threshold may allow a target criterion to be designated when assessing potential carbon storage reservoirs, whilst investigation of the porosity–permeability relationship allows for a greater understanding of the fluid flow regimes in the subsurface. By using a digital technique to assess carbon storage reservoir potentiality we show that initial characterisation of reservoirs can be carried out rapidly and relatively economically, prior to further full reservoir characterisation studies. This approach is also non-destructive, allowing samples to be reused and multiple analytical phases performed on the same materials. Nature Publishing Group UK 2022-07-04 /pmc/articles/PMC9253316/ /pubmed/35788682 http://dx.doi.org/10.1038/s41598-022-15651-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Payton, Ryan L.
Chiarella, Domenico
Kingdon, Andrew
The upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis
title The upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis
title_full The upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis
title_fullStr The upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis
title_full_unstemmed The upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis
title_short The upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis
title_sort upper percolation threshold and porosity–permeability relationship in sandstone reservoirs using digital image analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253316/
https://www.ncbi.nlm.nih.gov/pubmed/35788682
http://dx.doi.org/10.1038/s41598-022-15651-3
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