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Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt

Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt
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 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 CO2 storage projects. Use of this stochastic percolation simulation method for basalt storage reservoir evaluation will enable more accurate storage capacity and mineral trapping estimates.

Carbon capture and storage, Effective porosity, Geothermal energy, Micro-CT, Percolation simulation, Positron emission tomography
0309-1708
235-244
Zahasky, Christopher
f3ed129a-a03c-43ec-9e67-a6e5dfa10444
Thomas, Dana
7eaabd29-cada-4ad8-b67c-78d2ac0af36a
Matter, Juerg
abb60c24-b6cb-4d1a-a108-6fc51ee20395
Maher, Kate
a04c2c69-d4be-4c53-8d39-2a0b41286aa0
Benson, Sally M.
07da3230-b035-4446-b7fd-f7ad3934d1eb
Zahasky, Christopher
f3ed129a-a03c-43ec-9e67-a6e5dfa10444
Thomas, Dana
7eaabd29-cada-4ad8-b67c-78d2ac0af36a
Matter, Juerg
abb60c24-b6cb-4d1a-a108-6fc51ee20395
Maher, Kate
a04c2c69-d4be-4c53-8d39-2a0b41286aa0
Benson, Sally M.
07da3230-b035-4446-b7fd-f7ad3934d1eb

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).

Record type: Article

Abstract

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 CO2 storage projects. Use of this stochastic percolation simulation method for basalt storage reservoir evaluation will enable more accurate storage capacity and mineral trapping estimates.

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revised_zahasky_basalt_paper_A - Accepted Manuscript
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More information

Accepted/In Press date: 14 August 2018
e-pub ahead of print date: 25 August 2018
Published date: 1 November 2018
Keywords: Carbon capture and storage, Effective porosity, Geothermal energy, Micro-CT, Percolation simulation, Positron emission tomography

Identifiers

Local EPrints ID: 423824
URI: http://eprints.soton.ac.uk/id/eprint/423824
ISSN: 0309-1708
PURE UUID: ef562054-8b2c-4c31-ae18-2c1881793e2e
ORCID for Juerg Matter: ORCID iD orcid.org/0000-0002-1070-7371

Catalogue record

Date deposited: 02 Oct 2018 16:30
Last modified: 09 Jan 2022 05:01

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Contributors

Author: Christopher Zahasky
Author: Dana Thomas
Author: Juerg Matter ORCID iD
Author: Kate Maher
Author: Sally M. Benson

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