Jianxin Shi's dissertation
by
Jianxin Shi, Ph.D.
University of Texas at Austin, 1996
Supervisors: William R. Rossen
Foams can improve sweep efficiency and oil recovery in miscible and
steam enhanced-oil-recovery (EOR) processes. For a successful application of
foam in EOR processes, a simulator that can predict foam performance under
field conditions is highly desirable. In this study, a foam simulator that
incorporates the "fixed limiting capillary pressure" model and some empirical
foam models into a compositional miscible-flood simulator - UTCOMP - is
implemented. This approach highlights the key foam mechanism that control
foam behavior in porous media, offering unique insights into foam-process
mechanism under reservoir conditions.
Simulations covering a wide range in reservoir properties and geometry,
injection rate, foam quality, foam strength, and the mechanism of foam collapse
suggest that a single dimensionless number, called the viscous-gravity ratio, can
predict the ability of continuous-injection foam processes to overcome gravity
override in homogeneous, anisotropic reservoirs. This result implies that foam
can prevent gravity override by attaining a sufficient lateral pressure gradient at
attainable injection rates. Simulations also show that Surfactant-Alternating-Gas
(SAG) foam processes can achieve both high injectivity and improved
performance in overcoming gravity override, demonstrating the potential
advantages of SAG foam processes over continuous-foam-injection processes.
Our preliminary study shows that capillary cross-flow can grossly alter
foam effectiveness in two layers in intimate contact; the extent of capillary cross-
flow appears to depend on a ratio of viscous- and capillary-pressure gradients and
reservoir geometry.
The sharp change of foam properties as a function of water saturation
requires the use of fine simulation grids and small time steps to obtain
quantitatively correct results. In SAG processes, fine grids are crucial for
achieving results close to those predicted by fractional-flow theory.
Foam generation and foam stability in porous media at low pressure
gradients or low flow rates are crucial to successful gas mobility control in EOR
processes. The experimental study concludes that the heterogeneity of a porous
medium, specifically, permeability variation in the flow direction, provides
favorable conditions for the generating strong foams. Foam-stability experiments
prove that, once foams are formed, they need not collapse at very low gas
velocities or low (Delta)p in porous media.
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