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Response surface modeling of CO2 dynamic storage efficiency factor in high permeability thick sandstones

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  • Muhammad Zulqarnain
  • Mehdi Zeidouni
  • Richard G. Hughes

Abstract

In order to utilize as much of the pore space for CO2 storage in high permeability thick saline aquifers, it is vital to investigate the interactions of injected CO2 with formation brine and rock. In order to quantify the displacement process, we investigate the dynamic storage efficiency factor (DSEF) for saline aquifers where pressure increase is minimal during the injection phase. Dimensionless numbers are derived from basic governing equations, constitutive equations, initial and boundary conditions using the inspection analysis. Then using the Hammersley sequence sampling, 178 numerical experiments are designed, and a compositional reservoir simulator is used to perform these simulations. In the next step, response surface regression analysis is used to establish a relationship between DSEF obtained from the numerical simulations and the corresponding dimensionless numbers. The simulation results show that for the studied conditions the underground dynamics is mostly influenced by the gravity number, followed by effective aspect ratio and dip numbers. The results from the response surface regression analysis are used to develop a correlation, which can be used to estimate the dynamic CO2 storage capacity of relevant zones. This study provides quantitative measures for the different competing mechanisms involved in underground displacement of fluids in CO2 geological storage, which can serve as a useful tool during planning phase of storage projects. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

Suggested Citation

  • Muhammad Zulqarnain & Mehdi Zeidouni & Richard G. Hughes, 2019. "Response surface modeling of CO2 dynamic storage efficiency factor in high permeability thick sandstones," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 9(5), pages 1043-1063, October.
  • Handle: RePEc:wly:greenh:v:9:y:2019:i:5:p:1043-1063
    DOI: 10.1002/ghg.1918
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