CO2 storage in porous media unsteady thermosolutal natural convection -Application in deep saline aquifer reservoirs. (May 2023)

• Record Type: Journal Article
• Authors: Bouzgarrou, Souhail; Akermi, Mehdi; Nasr, Samia; Aouaini, Fatma; Khan, Afzal Husain; Slimi, Khalifa; Khan, Nadeem A.; Zahmatkesh, Sasan
• Is Part Of: International journal of greenhouse gas control. Volume 125(2023)
• Publication Date: 2023-05
• Subjects: CO2 Storage -- Numerical modelization -- Convection -- Thermosolutal -- Porous domain -- Geologic reservoir; Greenhouse gases -- Environmental aspects -- Periodicals; Air -- Purification -- Technological innovations -- Periodicals; Gaz à effet de serre -- Périodiques; Gaz à effet de serre -- Réduction -- Périodiques; Air -- Purification -- Technological innovations; Greenhouse gases -- Environmental aspects; Periodicals; 363.73874605
• DOI: 10.1016/j.ijggc.2023.103890
• Languages: English
• ISSNs: 1750-5836

Abstract

Highlights: Mass diffusion in the field is intensified by increasing temperatures. Lewis numbers determine nonlinear flow behavior in CO2 sequestration. Estimating deep saline aquifer CO2 storage. A thermosolutorial phenomenon includes the storage and collection of CO2 . Abstract: In this paper, the storage of CO2 is investigated numerically under supercritical conditions in deep saline aquifer reservoirs. The simulations were performed on a non-deformable, saturated porous material inside a vertical enclosure that was assumed to be impermeable and insulated on three sides. The porous medium is homogeneous and isotropic with constant thermo-physical properties except for the fluid density, which varies according to Boussinesq approximations. A dynamic model assumes that flow is two-dimensional and obeys Darcy's motion law. The thermal equilibrium assumption (LTE) is also considered. The set of conservation equations and the appropriate initial and boundary conditions have been resolved numerically by the classical finite volume method. Spatio-temporal variations of different state variables such as pressure, velocity, temperature, and concentration were numerically simulated and plotted versus controlling parameters, particularly the thermal and solutal Rayleigh numbers, RaT and RaS ; the Lewis number, Le; and the reservoir's aspect ratio, A . According to regulating factors, and physical and geological qualities, we could predict the behavior of CO2 that would be stored in a geologic reservoir that is thought to be porous media. We could also estimate the time and direction of CO2 mass transfer based on the abovementioned factors. Great attention was paid to examining the sensitivity of fluid flow, heat, and mass transfer rates according to the reservoir form and the operating conditions.