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2 - Aspects of numerical methods in multiphase flows

Published online by Cambridge University Press:  04 December 2009

Richard E. Ewing
Affiliation:
Texas A & M University
Gedeon Dagan
Affiliation:
Tel-Aviv University
Shlomo P. Neuman
Affiliation:
University of Arizona
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Summary

ABSTRACT The ability to simulate numerically single-phase and multiphase flow of fluids in porous media is extremely important in developing an understanding of the complex phenomena governing the flow. The flow is complicated by the presence of heterogeneities in the reservoir at many different length scales and by phenomena such as diffusion and dispersion. These effects must be effectively modeled by terms in coupled systems of nonlinear partial differential equations which form the basis of the simulator. The simulator must be able to model both single and multiphase flows and the transition regimes between the two in unsaturated flow applications. A discussion of some of the aspects of modeling unsaturated and multiphase flows in the presence of heterogeneities and channeling is presented along with directions for future work. Simulators are severely hampered by the lack of knowledge of reservoir properties, heterogeneities, and relevant length scales and important mechanisms like diffusion and dispersion. Simulations can be performed either deterministically, to predict the outcome of a single realization of reservoir and flow properties, or via stochastic techniques to incorporate uncertainties of flow directly. Due to the extreme difficulties in using stochastic differential equation models for nonlinear multiphase flows, we will concentrate on the potential of deterministic models. Recent developments have been made in homogenization, scaled averaging, and the use of the simulator as an experimental tool to develop methods to model the interrelations between localized and larger-scale media effects. Monte Carlo techniques using simulators with effective parameters can generate statistics for multiphase flow.

Type
Chapter
Information
Subsurface Flow and Transport
A Stochastic Approach
, pp. 92 - 100
Publisher: Cambridge University Press
Print publication year: 1997

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