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Geophysical Monograph Series

 

Keywords

  • Carbon sequestration
  • Carbon cycle (Biogeochemistry)

Index Terms

  • 1622 Global Change: Earth system modeling
  • 1829 Hydrology: Groundwater hydrology
  • 1847 Hydrology: Modeling

Article

GEOPHYSICAL MONOGRAPH SERIES, VOL. 183, PP. 261-278, 2009

Quantification of CO2 flow and transport in the subsurface: Uncertainty due to equations of state algorithms

Weon Shik Han

Energy & Geoscience Institute, University of Utah Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, Utah, USA


Brian J. McPherson

Energy & Geoscience Institute, University of Utah Department of Civil and Environmental Engineering, University of Utah, Salt Lake City, Utah, USA


The purpose of this chapter is to evaluate uncertainty and variability generated from equations of state (EOSs) algorithms and to investigate how small errors generated from EOS algorithms propagate into evaluation of CO2 trapping mechanisms. In a previous study, we developed two integrated EOSs algorithms assembled for calculating thermophysical properties of multiphase CO2 in deep brine reservoirs, including density, fugacity coefficient, enthalpy, viscosity, and solubility. In this chapter, we extended this previous work and focused on the uncertainty and variability associated with the choice of EOSs algorithms, using these two specific EOSs algorithms as an example case. For sake of example, we focused this uncertainty evaluation on a specific case study of the SACROC oil field in western Texas, a site notorious for 35 years of CO2 injection activity for enhanced oil recovery. For the work described in this chapter, we adapted a 3-D high-resolution geocellular model of a specific section in the SACROC oil field, developed using 3-D seismic data and extensive well logging data. Comparison of these EOSs algorithms using the 3-D SACROC model indicates that thermodynamic properties (fugacity coefficient and solubility) are strongly coupled with transport properties (e.g., fluid density and saturation) in numerical codes. While differences in CO2 solubility estimated by these two integrated EOSs algorithms are very small, the cumulative dissolved mass of CO2 ultimately predicted by the two EOSs algorithms is extremely different. In simulations of SACROC oil field, for example, the total dissolved CO2 mass differed by almost 90,000 tons over 2000 years.

Citation: Shik Han, W., and B. J. McPherson (2009), Quantification of CO2 flow and transport in the subsurface: Uncertainty due to equations of state algorithms, in Carbon Sequestration and Its Role in the Global Carbon Cycle, Geophys. Monogr. Ser., vol. 183, edited by B. J. McPherson and E. T. Sundquist, pp. 261–278, AGU, Washington, D. C., doi:10.1029/2008GM000696.

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