102nd Annual Meeting of the Cordilleran Section, GSA, 81st Annual Meeting of the Pacific Section, AAPG, and the Western Regional Meeting of the Alaska Section, SPE (8–10 May 2006)

Paper No. 4
Presentation Time: 9:30 AM

A NOVEL APPROACH FOR ANALYZING THE DISPERSION TRANSPORT IN RADIAL COORDINATES


ABSTRACT WITHDRAWN

, ali_ameur@yahoo.com

The finite control volume technique is used to solve the radial convection dispersion differential equation. In the dispersion model presented, the dispersion coefficient is dependent on both velocity and diffusion coefficient. The solution allows analyzing the dispersion transport of a slug in a steady radial flow from an injection well fully penetrating a homogeneous reservoir of uniform thickness and finite arial extent. Results show that the dispersive mixing zone does not necessarily grow in proportion with the square root of time for all times, unlike for the linear displacement. Results reveal a typical minimum of the dispersive mixing zone with time for radial displacement. It appears that at some radial distance close to the wellbore, the dimensionless mixing zone decreases with the square root of time since there is an accumulation of the miscible slug in this particular space domain. However, when the dissolution of the slug starts taking effect particularly at large distances away from the injection point, the mixing zone begins to increase with increasing square root of time. These results indicate that the optimal slug size of miscible displacement is time dependent. At a fixed time value, the higher the value of dispersivity, the more mixing takes place, and hence the greater the concentration of the miscible fluid becomes. A higher dispersivity value aggravates the dissolution of the slug at the toe of the concentration profile, but gives rise to a larger concentration at the tail.

This solution of the convection dispersion equation in radial coordinates allows to better estimate the optimum slug size for miscible displacement projects in hydrocarbon reservoirs, leading to a better reservoir management and to a more adequate economic forecast of EOR processes.