LAPSE:2023.30269
Published Article

LAPSE:2023.30269
Impact of Mineral Reactive Surface Area on Forecasting Geological Carbon Sequestration in a CO2-EOR Field
April 14, 2023
Abstract
Mineral reactive surface area (RSA) is one of the key factors that control mineral reactions, as it describes how much mineral is accessible and can participate in reactions. This work aims to evaluate the impact of mineral RSA on numerical simulations for CO2 storage at depleted oil fields. The Farnsworth Unit (FWU) in northern Texas was chosen as a case study. A simplified model was used to screen representative cases from 87 RSA combinations to reduce the computational cost. Three selected cases with low, mid, and high RSA values were used for the FWU model. Results suggest that the impact of RSA values on CO2 mineral trapping is more complex than it is on individual reactions. While the low RSA case predicted negligible porosity change and an insignificant amount of CO2 mineral trapping for the FWU model, the mid and high RSA cases forecasted up to 1.19% and 5.04% of porosity reduction due to mineral reactions, and 2.46% and 9.44% of total CO2 trapped in minerals by the end of the 600-year simulation, respectively. The presence of hydrocarbons affects geochemical reactions and can lead to net CO2 mineral trapping, whereas mineral dissolution is forecasted when hydrocarbons are removed from the system.
Mineral reactive surface area (RSA) is one of the key factors that control mineral reactions, as it describes how much mineral is accessible and can participate in reactions. This work aims to evaluate the impact of mineral RSA on numerical simulations for CO2 storage at depleted oil fields. The Farnsworth Unit (FWU) in northern Texas was chosen as a case study. A simplified model was used to screen representative cases from 87 RSA combinations to reduce the computational cost. Three selected cases with low, mid, and high RSA values were used for the FWU model. Results suggest that the impact of RSA values on CO2 mineral trapping is more complex than it is on individual reactions. While the low RSA case predicted negligible porosity change and an insignificant amount of CO2 mineral trapping for the FWU model, the mid and high RSA cases forecasted up to 1.19% and 5.04% of porosity reduction due to mineral reactions, and 2.46% and 9.44% of total CO2 trapped in minerals by the end of the 600-year simulation, respectively. The presence of hydrocarbons affects geochemical reactions and can lead to net CO2 mineral trapping, whereas mineral dissolution is forecasted when hydrocarbons are removed from the system.
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Keywords
enhanced oil recovery with CO2 (CO2-EOR), geochemical reactions, geological carbon sequestration, mineral trapping, reactive surface area, risk assessment
Suggested Citation
Jia W, Xiao T, Wu Z, Dai Z, McPherson B. Impact of Mineral Reactive Surface Area on Forecasting Geological Carbon Sequestration in a CO2-EOR Field. (2023). LAPSE:2023.30269
Author Affiliations
Jia W: Energy & Geoscience Institute, University of Utah, Salt Lake City, UT 84108, USA; Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, UT 84112, USA [ORCID]
Xiao T: Energy & Geoscience Institute, University of Utah, Salt Lake City, UT 84108, USA; Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, UT 84112, USA [ORCID]
Wu Z: Energy & Geoscience Institute, University of Utah, Salt Lake City, UT 84108, USA; Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, UT 84112, USA
Dai Z: College of Construction Engineering, Jilin University, Changchun 130026, China [ORCID]
McPherson B: Energy & Geoscience Institute, University of Utah, Salt Lake City, UT 84108, USA; Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, UT 84112, USA
Xiao T: Energy & Geoscience Institute, University of Utah, Salt Lake City, UT 84108, USA; Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, UT 84112, USA [ORCID]
Wu Z: Energy & Geoscience Institute, University of Utah, Salt Lake City, UT 84108, USA; Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, UT 84112, USA
Dai Z: College of Construction Engineering, Jilin University, Changchun 130026, China [ORCID]
McPherson B: Energy & Geoscience Institute, University of Utah, Salt Lake City, UT 84108, USA; Department of Civil & Environmental Engineering, University of Utah, Salt Lake City, UT 84112, USA
Journal Name
Energies
Volume
14
Issue
6
First Page
1608
Year
2021
Publication Date
2021-03-14
ISSN
1996-1073
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Original Submission
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PII: en14061608, Publication Type: Journal Article
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LAPSE:2023.30269
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https://doi.org/10.3390/en14061608
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