Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt
Improved methods for predicting fluid transport and vesicle connectivity in heterogeneous basalts are critical for determining the long-term reaction and trapping behavior of sequestered carbon dioxide and maximizing the efficiency of geothermal energy production. In this study we measured vesicle g...
Published in: | Advances in Water Resources |
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Online Access: | https://eprints.soton.ac.uk/423824/ https://eprints.soton.ac.uk/423824/1/revised_zahasky_basalt_paper_A.pdf |
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ftsouthampton:oai:eprints.soton.ac.uk:423824 2023-07-30T04:04:25+02:00 Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt Zahasky, Christopher Thomas, Dana Matter, Juerg Maher, Kate Benson, Sally M. 2018-11-01 text https://eprints.soton.ac.uk/423824/ https://eprints.soton.ac.uk/423824/1/revised_zahasky_basalt_paper_A.pdf en English eng https://eprints.soton.ac.uk/423824/1/revised_zahasky_basalt_paper_A.pdf Zahasky, Christopher, Thomas, Dana, Matter, Juerg, Maher, Kate and Benson, Sally M. (2018) Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt. Advances in Water Resources, 121, 235-244. (doi:10.1016/j.advwatres.2018.08.009 <http://dx.doi.org/10.1016/j.advwatres.2018.08.009>). cc_by_nc_nd_4 Article PeerReviewed 2018 ftsouthampton https://doi.org/10.1016/j.advwatres.2018.08.009 2023-07-09T22:24:46Z Improved methods for predicting fluid transport and vesicle connectivity in heterogeneous basalts are critical for determining the long-term reaction and trapping behavior of sequestered carbon dioxide and maximizing the efficiency of geothermal energy production. In this study we measured vesicle geometry, pore connectivity, and vesicle surface area of three basalt cores from the CarbFix carbon storage project in Iceland using a combination of micro-computed tomography, clinical computed tomography, and micro-positron emission tomography. A vesicle percolation simulator was then constructed to quantify vesicle connectivity across a complete range of porosities, pore size distributions, and microporosity conditions. Percolation simulations that incorporate important geologic features such as microporosity are able to describe the trend of experimental measurements made in this study and in previous work, without relying on statistical or empirical techniques. Simulation results highlight and quantify the trade-off between storage capacity and reactive surface area in high porosity basalts. Experiment and simulation results also indicate that there is very limited connected pore space below total porosity values of 15%, guiding improved site selection for large scale CO 2 storage projects. Use of this stochastic percolation simulation method for basalt storage reservoir evaluation will enable more accurate storage capacity and mineral trapping estimates. Article in Journal/Newspaper Iceland University of Southampton: e-Prints Soton Advances in Water Resources 121 235 244 |
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University of Southampton: e-Prints Soton |
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ftsouthampton |
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English |
description |
Improved methods for predicting fluid transport and vesicle connectivity in heterogeneous basalts are critical for determining the long-term reaction and trapping behavior of sequestered carbon dioxide and maximizing the efficiency of geothermal energy production. In this study we measured vesicle geometry, pore connectivity, and vesicle surface area of three basalt cores from the CarbFix carbon storage project in Iceland using a combination of micro-computed tomography, clinical computed tomography, and micro-positron emission tomography. A vesicle percolation simulator was then constructed to quantify vesicle connectivity across a complete range of porosities, pore size distributions, and microporosity conditions. Percolation simulations that incorporate important geologic features such as microporosity are able to describe the trend of experimental measurements made in this study and in previous work, without relying on statistical or empirical techniques. Simulation results highlight and quantify the trade-off between storage capacity and reactive surface area in high porosity basalts. Experiment and simulation results also indicate that there is very limited connected pore space below total porosity values of 15%, guiding improved site selection for large scale CO 2 storage projects. Use of this stochastic percolation simulation method for basalt storage reservoir evaluation will enable more accurate storage capacity and mineral trapping estimates. |
format |
Article in Journal/Newspaper |
author |
Zahasky, Christopher Thomas, Dana Matter, Juerg Maher, Kate Benson, Sally M. |
spellingShingle |
Zahasky, Christopher Thomas, Dana Matter, Juerg Maher, Kate Benson, Sally M. Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt |
author_facet |
Zahasky, Christopher Thomas, Dana Matter, Juerg Maher, Kate Benson, Sally M. |
author_sort |
Zahasky, Christopher |
title |
Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt |
title_short |
Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt |
title_full |
Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt |
title_fullStr |
Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt |
title_full_unstemmed |
Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt |
title_sort |
multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt |
publishDate |
2018 |
url |
https://eprints.soton.ac.uk/423824/ https://eprints.soton.ac.uk/423824/1/revised_zahasky_basalt_paper_A.pdf |
genre |
Iceland |
genre_facet |
Iceland |
op_relation |
https://eprints.soton.ac.uk/423824/1/revised_zahasky_basalt_paper_A.pdf Zahasky, Christopher, Thomas, Dana, Matter, Juerg, Maher, Kate and Benson, Sally M. (2018) Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt. Advances in Water Resources, 121, 235-244. (doi:10.1016/j.advwatres.2018.08.009 <http://dx.doi.org/10.1016/j.advwatres.2018.08.009>). |
op_rights |
cc_by_nc_nd_4 |
op_doi |
https://doi.org/10.1016/j.advwatres.2018.08.009 |
container_title |
Advances in Water Resources |
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121 |
container_start_page |
235 |
op_container_end_page |
244 |
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1772815858008064000 |