Predicting the CO2 Footprint in Saline Aquifers: A Numerical-analytical Hybrid Model

7 Pages Posted: 31 Mar 2021

See all articles by Sahar Bakhshian

Sahar Bakhshian

University of Texas at Austin - Jackson School of Geosciences

Seyyed Abolfazl Hosseini

University of Texas at Austin

Date Written: March 31, 2021

Abstract

In this study, we present a hybrid framework in which we combine pore-scale lattice Boltzmann (LB) simulations with a macroscopic analytical model for predicting CO2 plume migration and its residual trapping in saline aquifers. These integrated methods combine the flexibility of a pore-scale simulation method, allowing for implementing the micro-scale properties such as wettability, with the efficiency of an analytical method, for a quick estimation of the CO2 plume extension and its residual trapping during the injection and post-injection stages. The LB model is adopted to perform two-phase flow simulations of CO2/brine in the microstructure of a rock sample of Tuscaloosa sandstone taken from the Cranfield site in Mississippi. Employing the pore-scale LB simulations, we estimate pore-scale properties such as connate brine saturation, CO2 residual saturation, and CO2 end-point relative permeability. Subsequently, these parameters have been used in the analytical model for predicting the macro-scale behavior of CO2 plume during the injection and post-injection periods.

To gain a better insight into the effect of wettability on the footprint of CO2 plume and its residual trapping, we run pore-sale simulations in different samples under various wetting conditions and calculate the pore-scale properties as a function of wettability. Thus, incorporating the pore-scale simulation results into the analytical model helps us evaluate the effect of pore-scale properties such as wettability on storage efficiency. We believe that this approach provides an appropriate tool for the estimation of storage efficiency in CO2 sequestration projects.

Keywords: CO2 sequestration; CO2 plume migration; Residual trapping; Analytical modeling; Pore-scale simulation

Suggested Citation

Bakhshian, Sahar and Hosseini, Seyyed Abolfazl, Predicting the CO2 Footprint in Saline Aquifers: A Numerical-analytical Hybrid Model (March 31, 2021). Proceedings of the 15th Greenhouse Gas Control Technologies Conference 15-18 March 2021, Available at SSRN: https://ssrn.com/abstract=3816595 or http://dx.doi.org/10.2139/ssrn.3816595

Sahar Bakhshian (Contact Author)

University of Texas at Austin - Jackson School of Geosciences ( email )

2305 Speedway Stop C1160
Austin, TX
United States

Seyyed Abolfazl Hosseini

University of Texas at Austin

2317 Speedway
Austin, TX 78712
United States

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