November 22, 2024
Rouhollah Fatehi

Rouhollah Fatehi

Academic Rank: Associate professor
Address: School of Engineering
Degree: Ph.D in Mechanical Engineering
Phone: 07731222170
Faculty: Faculty of Engineering

Research

Title Suggesting a Numerical Pressure-Decay Method for Determining CO2 Diffusion Coefficient in Water
Type Article
Keywords
Diffusion coefficient, Pressure-decay, CO2, Saline aquifer, Convective mixing
Journal JOURNAL OF MOLECULAR LIQUIDS
DOI https://doi.org/10.1016/j.molliq.2015.06.060
Researchers Yasin Gholami (First researcher) , Reza Azin (Second researcher) , Rouhollah Fatehi (Third researcher) , Shahriar Osfouri (Fourth researcher)

Abstract

Carbon Capture and Storage is developed as state-of-the-art method to bring CO2 emissions under control. Among different options, saline aquifers are viable choices to sequestrate CO2 in which this gas can be dissolved in the pertinent brine through a gradual progressive diffusive layer and subsequent likely density-induced convection. Quantification of CO2 dissolution rate in saline aquifers is dependent on the true estimation of CO2 diffusivity in brine. In this work, equilibrium dissolution and diffusion coefficient of CO2 in water-saturated porous medium is modeled. The simple and well-known pressure-decay method is applied numerically in different porous systems. Also, interference of density-driven convection during measurements is addressed and the idea of using a porous medium such as glass beads is proposed to block convective swirls or postpone onset of convection. Convective currents are suppressed at Rayleigh numbers (Ra) less than 40. For controlled convective dissolution, the onset of convection should be late enough for that the early diffusive dissolution to dominate. Also, convective dissolution should deviate from diffusive dissolution to find the onset of convection and time at the end of early convection. The former and latter requires Ra<1100 and Ra>150, respectively. Under these circumstances, pressure decay results can be analyzed to estimate the gas-liquid diffusion coefficient including early pressure-time data, onset of convection, the maximum Sherwood and time at the end of early convection.