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Reservoir simulation of CO2 sequestration pilot in Frio brine formation, USA Gulf Coast

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  • Ghomian, Yousef
  • Pope, Gary A.
  • Sepehrnoori, Kamy

Abstract

Reservoir simulation studies were performed to investigate compositional effects between aquifer fluid (brine) and injected supercritical CO2 during the sequestration process in the Frio brine formation. Accurate data calibrations of CO2 solubility and density, as well as brine density and viscosity, were performed. Hysteresis relative permeability was taken into consideration to account for the effect of trapped gas in the aquifer. In addition, real aquifer data obtained from the test site were used in order to characterize the Frio aquifer.

Suggested Citation

  • Ghomian, Yousef & Pope, Gary A. & Sepehrnoori, Kamy, 2008. "Reservoir simulation of CO2 sequestration pilot in Frio brine formation, USA Gulf Coast," Energy, Elsevier, vol. 33(7), pages 1055-1067.
  • Handle: RePEc:eee:energy:v:33:y:2008:i:7:p:1055-1067
    DOI: 10.1016/j.energy.2008.02.011
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    References listed on IDEAS

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    1. Chadwick, R.A & Zweigel, P & Gregersen, U & Kirby, G.A & Holloway, S & Johannessen, P.N, 2004. "Geological reservoir characterization of a CO2 storage site: The Utsira Sand, Sleipner, northern North Sea," Energy, Elsevier, vol. 29(9), pages 1371-1381.
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    Cited by:

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    2. Aibar Kamashev & Yerlan Amanbek, 2021. "Reservoir Simulation of CO 2 Storage Using Compositional Flow Model for Geological Formations in Frio Field and Precaspian Basin," Energies, MDPI, vol. 14(23), pages 1-17, December.
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    4. Jian Xie & Keni Zhang & Litang Hu & Yongsheng Wang & Maoshan Chen, 2015. "Understanding the carbon dioxide sequestration in low‐permeability saline aquifers in the Ordos Basin with numerical simulations," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 5(5), pages 558-576, October.
    5. Ren, Bo & Ren, Shaoran & Zhang, Liang & Chen, Guoli & Zhang, Hua, 2016. "Monitoring on CO2 migration in a tight oil reservoir during CCS-EOR in Jilin Oilfield China," Energy, Elsevier, vol. 98(C), pages 108-121.
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    7. Yang, Renfeng & Zhang, Jinqing & Chen, Han & Jiang, Ruizhong & Sun, Zhe & Rui, Zhenhua, 2019. "The injectivity variation prediction model for water flooding oilfields sustainable development," Energy, Elsevier, vol. 189(C).
    8. Gunde, Akshay C. & Bera, Bijoyendra & Mitra, Sushanta K., 2010. "Investigation of water and CO2 (carbon dioxide) flooding using micro-CT (micro-computed tomography) images of Berea sandstone core using finite element simulations," Energy, Elsevier, vol. 35(12), pages 5209-5216.

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