Experimental and Numerical Studies on the Diffusion of CO2 from Oil to Water

• Published in: Journal of thermal science 2020-02, Vol.29 (1), p.268-278
• Main Authors: Li, Binfei, Zhang, Qiliang, Cao, Aiqing, Bai, Hao, Xu, Jianguo
• Format: Article
• Language: English
• Subjects: Carbon dioxide; Carbon sequestration; Classical and Continuum Physics; Critical pressure; Diffusion coefficient; Diffusion rate; Engineering Fluid Dynamics; Engineering Thermodynamics; Heat and Mass Transfer; Liquid phases; Mass transfer; Mathematical analysis; Numerical analysis; Numerical methods; Oil recovery; Physics; Physics and Astronomy; Pressure drop; Pressure effects
• ISSN: 1003-2169; 1993-033X
• DOI: 10.1007/s11630-019-1117-5

Injecting CO 2 into oil reservoirs can improve the oil recovery, meanwhile achieve CO 2 storage. The diffusion of CO 2 in oil-water systems has a substantial impact on this process. The interface significantly affects the mass transfer of CO 2 between oil and water phase. In this paper, based on the determination of the CO 2 diffusion coefficient in oil or water phases, the diffusion processes of CO 2 from oil to water were experimentally investigated under different pressures. A numerical method was proposed to calculate the pressure drop and the diffusion coefficient in the process of CO 2 diffusion from oil to water. The experimental results indicated that the CO 2 diffusion coefficient in oil or water increased rapidly with pressure up to the critical pressure of CO 2 and gradually slowed down thereafter. The CO 2 diffusion from oil to water was much slower than that in oil or water. The diffusion coefficient of CO 2 from oil to water was one magnitude lower than that in the single liquid phase of oil or water, and the effect of pressure was not significant. Based on the diffusion coefficient of CO 2 in a single liquid phase and the proposed numerical method, the pressure drop and the numerical diffusion coefficient in the process of CO 2 diffusion from oil to water were calculated. The relative errors between the experimental and numerical results were within 9%. Therefore, the numerical method proposed herein can be used to predict the diffusion process of CO 2 from oil to water and the diffusion coefficient associated with this process.