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Uncertainty and sensitivity analysis of relative permeability curves for the numerical simulation of CO2 core flooding

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  • Zhanpeng Zheng
  • Qingsong Ma
  • Pei Hu
  • Yongchen Song
  • Dayong Wang

Abstract

Various error sources exist in the specified relative permeability (kr) curves for numerical modeling of CO2/water core flooding process, including model selection, parameter estimation, and heterogeneity setting. In this study, we quantitatively investigate their effects on model predictions by a numerical sensitivity analysis. Numerical simulation results indicate: (1) The errors in residual gas saturation (Sgr) and residual liquid saturation (Slr) could significantly influence the estimation of the total volume (TPV) of injected CO2 when CO2/water displacement reaches a steady state. A change of Sgr or Slr by 0.1 can induce deviation in TPV up to 0.5 pore volume. (2) The change in Sgr could cause a bigger predictive deviation in local CO2 saturation (SCO2) than that in Slr. In the case of the same degree of change, the deviation of the former is almost twice as much as that of the latter. (3) The model predictions remain fairly consistent when utilizing either Corey's curve or Brooks–Corey curve, but become significantly different if changing to van Genuchten curve. In this case, the difference in TPV is greater than that caused by the errors in Sgr or Slr. The maximum deviation in the predicted local SCO2 exceeds 0.3, influencing the analysis of CO2 local trapping behavior. Comparatively, the local SCO2 buildup is only slight if van Genuchten curve is used, but obvious using Corey's curve. (4) kr heterogeneity only presents a small effect on the local SCO2 and could be reasonably ignored compared to the effects of the heterogeneity in capillary pressure and permeability. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd.

Suggested Citation

  • Zhanpeng Zheng & Qingsong Ma & Pei Hu & Yongchen Song & Dayong Wang, 2020. "Uncertainty and sensitivity analysis of relative permeability curves for the numerical simulation of CO2 core flooding," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(3), pages 519-530, June.
    • Handle: RePEc:wly:greenh:v:10:y:2020:i:3:p:519-530
    DOI: 10.1002/ghg.1977
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    References listed on IDEAS

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    1. Ning Wei & Magdalena Gill & Dustin Crandall & Dustin McIntyre & Yan Wang & Kathy Bruner & Xiaochun Li & Grant Bromhal, 2014. "CO 2 flooding properties of Liujiagou sandstone: influence of sub‐core scale structure heterogeneity," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 4(3), pages 400-418, June.
    2. Nathan Moodie & Feng Pan & Wei Jia & Brian McPherson, 2017. "Impacts of relative permeability formulation on forecasts of CO 2 phase behavior, phase distribution, and trapping mechanisms in a geologic carbon storage reservoir," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(2), pages 241-258, April.
    3. Nathan Moodie & Feng Pan & Wei Jia & Brian McPherson, 2017. "Impacts of relative permeability formulation on forecasts of CO 2 phase behavior, phase distribution, and trapping mechanisms in a geologic carbon storage reservoir," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(5), pages 958-962, October.
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    Cited by:

    1. Liang Xu & Qi Li & Matthew Myers & Cameron White & Xiaomin Cao, 2022. "Migration of carbon dioxide in sandstone under various pressure/temperature conditions: From experiment to simulation," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 12(2), pages 233-248, April.

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