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Effects of permeability heterogeneity on CO 2 injectivity and storage efficiency coefficient

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  • Liang Tian
  • Zhibing Yang
  • Fritjof Fagerlund
  • Auli Niemi

Abstract

We study the dependency of CO 2 storage efficiency coefficient (E) and injectivity index (I inj ) on the geostatistical parameters of the permeability field. CO 2 injection simulations are conducted for multiple realizations of log‐normally distributed permeability fields parameterized by log permeability standard deviation (σ) and dimensionless horizontal correlation length (λ). Results show that the injectivity index increases with increasing λ, the magnitude of the effect depending on σ. Increasing σ leads to poorer injectivity for cases with small λ, but improves injectivity when λ is large. Further analysis indicates that the enhancing effect of σ on injectivity can be attributed to cases with channelized flow, while the decrease effect of σ is seen in more dispersive flow regime. The dependence of injectivity on both λ and σ is captured with a linear correlation between I inj and a parameter group , where ξ is a dimensionless scaling parameter. The storage efficiency coefficient, on the other hand, decreases with both increasing σ and λ, and a simple linear fit is found between E and the parameter group λσ-super-2, a well‐established heterogeneity parameter group describing e.g. macro‐dispersivity in solute transport studies. These relationships provide potentially useful tools for the preliminary evaluation of a site. Future studies should address the validity of the relationships in alternative injection scenarios and domain geometries. © 2015 Society of Chemical Industry and John Wiley & Sons, Ltd

Suggested Citation

  • Liang Tian & Zhibing Yang & Fritjof Fagerlund & Auli Niemi, 2016. "Effects of permeability heterogeneity on CO 2 injectivity and storage efficiency coefficient," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 6(1), pages 112-124, February.
  • Handle: RePEc:wly:greenh:v:6:y:2016:i:1:p:112-124
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    File URL: http://hdl.handle.net/10.1002/ghg.1540
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    Cited by:

    1. Saba Joodaki & Zhibing Yang & Auli Niemi, 2017. "The effect of designing parameter of WAG injection on enhancement of CO2 trapping in heterogeneous formations: A numerical study," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 7(6), pages 1008-1019, December.

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