Co-Optimization of CO<sub>2</sub> Storage and Enhanced Gas Recovery Using Carbonated Water and Supercritical CO<sub>2</sub>
CO<sub>2</sub>-based enhanced gas recovery (EGR) is an appealing method with the dual benefit of improving recovery from mature gas reservoirs and storing CO<sub>2</sub> in the subsurface, thereby reducing net emissions. However, CO<sub>2</sub> injection for EGR h...
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oai:doaj.org-article:ec745d88deea40089c996e6a8acbe2842021-11-25T17:26:03ZCo-Optimization of CO<sub>2</sub> Storage and Enhanced Gas Recovery Using Carbonated Water and Supercritical CO<sub>2</sub>10.3390/en142274951996-1073https://doaj.org/article/ec745d88deea40089c996e6a8acbe2842021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7495https://doaj.org/toc/1996-1073CO<sub>2</sub>-based enhanced gas recovery (EGR) is an appealing method with the dual benefit of improving recovery from mature gas reservoirs and storing CO<sub>2</sub> in the subsurface, thereby reducing net emissions. However, CO<sub>2</sub> injection for EGR has the drawback of excessive mixing with the methane gas, therefore, reducing the quality of gas produced and leading to an early breakthrough of CO<sub>2</sub>. Although this issue has been identified as a major obstacle in CO<sub>2</sub>-based EGR, few strategies have been suggested to mitigate this problem. We propose a novel hybrid EGR method that involves the injection of a slug of carbonated water before beginning CO<sub>2</sub> injection. While still ensuring CO<sub>2</sub> storage, carbonated water hinders CO<sub>2</sub>-methane mixing and reduces CO<sub>2</sub> mobility, therefore delaying breakthrough. We use reservoir simulation to assess the feasibility and benefit of the proposed method. Through a structured design of experiments (DoE) framework, we perform sensitivity analysis, uncertainty assessment, and optimization to identify the ideal operation and transition conditions. Results show that the proposed method only requires a small amount of carbonated water injected up to 3% pore volumes. This EGR scheme is mainly influenced by the heterogeneity of the reservoir, slug volume injected, and production rates. Through Monte Carlo simulations, we demonstrate that high recovery factors and storage ratios can be achieved while keeping recycled CO<sub>2</sub> ratios low.Abdirizak OmarMouadh AddassiVolker VahrenkampHussein HoteitMDPI AGarticleCCUSCO<sub>2</sub> storageenhanced gas recoverycarbonated wateroptimizationTechnologyTENEnergies, Vol 14, Iss 7495, p 7495 (2021) |
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CCUS CO<sub>2</sub> storage enhanced gas recovery carbonated water optimization Technology T |
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CCUS CO<sub>2</sub> storage enhanced gas recovery carbonated water optimization Technology T Abdirizak Omar Mouadh Addassi Volker Vahrenkamp Hussein Hoteit Co-Optimization of CO<sub>2</sub> Storage and Enhanced Gas Recovery Using Carbonated Water and Supercritical CO<sub>2</sub> |
description |
CO<sub>2</sub>-based enhanced gas recovery (EGR) is an appealing method with the dual benefit of improving recovery from mature gas reservoirs and storing CO<sub>2</sub> in the subsurface, thereby reducing net emissions. However, CO<sub>2</sub> injection for EGR has the drawback of excessive mixing with the methane gas, therefore, reducing the quality of gas produced and leading to an early breakthrough of CO<sub>2</sub>. Although this issue has been identified as a major obstacle in CO<sub>2</sub>-based EGR, few strategies have been suggested to mitigate this problem. We propose a novel hybrid EGR method that involves the injection of a slug of carbonated water before beginning CO<sub>2</sub> injection. While still ensuring CO<sub>2</sub> storage, carbonated water hinders CO<sub>2</sub>-methane mixing and reduces CO<sub>2</sub> mobility, therefore delaying breakthrough. We use reservoir simulation to assess the feasibility and benefit of the proposed method. Through a structured design of experiments (DoE) framework, we perform sensitivity analysis, uncertainty assessment, and optimization to identify the ideal operation and transition conditions. Results show that the proposed method only requires a small amount of carbonated water injected up to 3% pore volumes. This EGR scheme is mainly influenced by the heterogeneity of the reservoir, slug volume injected, and production rates. Through Monte Carlo simulations, we demonstrate that high recovery factors and storage ratios can be achieved while keeping recycled CO<sub>2</sub> ratios low. |
format |
article |
author |
Abdirizak Omar Mouadh Addassi Volker Vahrenkamp Hussein Hoteit |
author_facet |
Abdirizak Omar Mouadh Addassi Volker Vahrenkamp Hussein Hoteit |
author_sort |
Abdirizak Omar |
title |
Co-Optimization of CO<sub>2</sub> Storage and Enhanced Gas Recovery Using Carbonated Water and Supercritical CO<sub>2</sub> |
title_short |
Co-Optimization of CO<sub>2</sub> Storage and Enhanced Gas Recovery Using Carbonated Water and Supercritical CO<sub>2</sub> |
title_full |
Co-Optimization of CO<sub>2</sub> Storage and Enhanced Gas Recovery Using Carbonated Water and Supercritical CO<sub>2</sub> |
title_fullStr |
Co-Optimization of CO<sub>2</sub> Storage and Enhanced Gas Recovery Using Carbonated Water and Supercritical CO<sub>2</sub> |
title_full_unstemmed |
Co-Optimization of CO<sub>2</sub> Storage and Enhanced Gas Recovery Using Carbonated Water and Supercritical CO<sub>2</sub> |
title_sort |
co-optimization of co<sub>2</sub> storage and enhanced gas recovery using carbonated water and supercritical co<sub>2</sub> |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/ec745d88deea40089c996e6a8acbe284 |
work_keys_str_mv |
AT abdirizakomar cooptimizationofcosub2substorageandenhancedgasrecoveryusingcarbonatedwaterandsupercriticalcosub2sub AT mouadhaddassi cooptimizationofcosub2substorageandenhancedgasrecoveryusingcarbonatedwaterandsupercriticalcosub2sub AT volkervahrenkamp cooptimizationofcosub2substorageandenhancedgasrecoveryusingcarbonatedwaterandsupercriticalcosub2sub AT husseinhoteit cooptimizationofcosub2substorageandenhancedgasrecoveryusingcarbonatedwaterandsupercriticalcosub2sub |
_version_ |
1718412383096930304 |