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Compositional Modeling of Impure CO2 Injection for Enhanced Oil Recovery and CO2 Storage

Title
Compositional Modeling of Impure CO2 Injection for Enhanced Oil Recovery and CO2 Storage
Authors
Lee, Hye-SeungCho, JinhyungLee, Young-WooLee, Kun-Sang
Ewha Authors
조진형
SCOPUS Author ID
조진형scopus
Issue Date
2021
Journal Title
APPLIED SCIENCES-BASEL
ISSN
2076-3417JCR Link
Citation
APPLIED SCIENCES-BASEL vol. 11, no. 17
Keywords
CCUSCO2-EORcarbon capture and storageCCS-EORimpure CO2water alternating gas (WAG)
Publisher
MDPI
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Injecting CO2, a greenhouse gas, into the reservoir could be beneficial economically, by extracting remaining oil, and environmentally, by storing CO2 in the reservoir. CO2 captured from various sources always contains various impurities that affect the gas-oil system in the reservoir, changing oil productivity and CO2 geological storage performance. Therefore, it is necessary to examine the effect of impurities on both enhanced oil recovery (EOR) and carbon capture and storage (CCS) performance. For Canada Weyburn W3 fluid, a 2D compositional simulation of water-alternating-gas (WAG) injection was conducted to analyze the effect of impure CO2 on EOR and CCS performance. Most components in the CO2 stream such as CH4, H-2, N-2, O-2, and Ar can unfavorably increase the MMP between the oil and gas mixture, while H2S decreased the MMP. MMP changed according to the type and concentration of impurity in the CO2 stream. Impurities in the CO2 stream also decreased both sweep efficiency and displacement efficiency, increased the IFT between gas and reservoir fluid, and hindered oil density reduction. The viscous gravity number increased by 59.6%, resulting in a decrease in vertical sweep efficiency. In the case of carbon storage, impurities decreased the performance of residual trapping by 4.1% and solubility trapping by 5.6% compared with pure CO2 WAG. As a result, impurities in CO2 reduced oil recovery by 9.2% and total CCS performance by 4.3%.
DOI
10.3390/app11177907
Appears in Collections:
연구기관 > 기후환경변화예측연구센터 > Journal papers
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