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Two-phase flow in Hele-Shaw cells: numberical studies of sweep efficiency in a five-spot pattern

Published online by Cambridge University Press:  17 February 2009

Leonard W. Sahwartiz  and
Anthony J. Degregoria
Leonard W. Sahwartiz
Affiliation:
Department of Mechanical and Aerospace Engineering, Rutgers University, New Brunswick, New Jersey 08855-0909, U.S.A.
Anthony J. Degregoria
Affiliation:
Corporate Research Science Laboratories, Exxon Research and Engineering Co., Clinton Township, Route 22E, Annandale, New Jersey 08801, U.S.A.
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Abstract

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The unsteady Hele-Shaw problem is a model nonlinear system that, for a certain parameter ranger, exhibits the phenomenon known as viscous fingering. While not directly applicable to multiphase porous-media flow, it does prove to be an adequate mathematical model for unstable dieplacement in laboratory parallel-plate devices. We seek here to determine, by use of an accurate boundary-integral frount-tracking scheme, the extent to which the simplified system captures the canonical nonlinear behavior of displacement flows and, in particular, to ascertain the role of noise in such systems. We choose to study a particular pattern of injection and production “wells.” The pattern chosen is the isolated “five-spot,” that is a single source surrounded by four symmetrically-placed sinks in an infinite two-dimensional “reservoir.” In cases where the “pusher” fluid has negligible viscosity, sweep efficiency is calculated for a range of values of the single dimensionless parameter τ, an inverse capillary number. As this parameter is reduced, corresponding to increased flow rate or reduced interfacial tension, this efficiency decreases continuously. For small values of τ, these stable displacements change abruptly to a regime characterized by unstable competing fingers and a significant reduction in sweep efficiency. A simple stability argument appears to correctly predict the noise level required to transit from the stable to the competing-finger regimes. Published compilations of experimental results for sweep efficiency as a function of viscosity ratio showed an unexplained divergence when the pusher fluid is less viscous. Our simulations produce a similar divergence when, for a given viscosity ratio, the parameter τ is varied.

Type
Research Article
Information
The ANZIAM Journal , Volume 29 , Issue 4 , April 1988 , pp. 375 - 400
Copyright
Copyright © Australian Mathematical Society 1988

References

[1]Chouke, R. L., van Meurs, P. and van der Poel, C., Trans. AIME 216 (1959), 188–194.CrossRefGoogle Scholar
[2]Claridge, E.L., Soc. Pet. Eng. J. (1972), 352–361.CrossRefGoogle Scholar
[3]Courant, R. and Hilbert, D., Methods of Mathematical Physics, Vol. 1 (Interscience, New York, 1953).Google Scholar
[4]Craig, F. F., The reservoir engneering aspects of waterflooding (Soc. Pet. Eng., New York, 1971).Google Scholar
[5]DeGregoria, A. J. and Schwartz, L., Phys. Fluids 28 (1985), 2313–2314.CrossRefGoogle Scholar
[6]DeGregoria, A. J. and Schwartz, L. W., J. Fluid Mech. 164 (1986), 383–400.CrossRefGoogle Scholar
[7]Habermann, B., Trans. AIME 219 (1960), 264–272.CrossRefGoogle Scholar
[8]Hindmarsh, A. C., ‘Livermore Solver for Ordinary Differential Equations’ (LSODE), Lawrence Livermore Laboratory, Livermore, Ca., USA. Sept. 23, 1980 version.Google Scholar
[9]Jerauld, J. R., Davis, H. T. and Scriven, L. E., SPE/DOE Preprint No. 12691, U.S. Dept. Energy, (1984).Google Scholar
[10]Kessler, D. A., Koplik, J. and Levine, H., Phys. Rev. A 30 (1984), 3161.CrossRefGoogle Scholar
[11]Lee, K. S. and Claridge, E. L., Soc. Pet. Eng. J. (1968), 52–62.CrossRefGoogle Scholar
[12]Mahaffey, J., Rutherford, W. and Matthew, C., Soc. Pet. Eng. J. (1966), 73–80.CrossRefGoogle Scholar
[13]Mandelbrot, B. B., The Fractal Geometry of Nature (Freeman, San Francisco, 1982).Google Scholar
[14]Moore, D., “Numerical and analytical aspects of Helmholtz instability”, Proc. IUTAM (1985), 263–274.CrossRefGoogle Scholar
[15]Muskat, M., The flow of homogeneous fluids through porous media (McGraw-Hill, New York, 1937).Google Scholar
[16]Park, C. W. and Homsy, G. M., Phys. Fluids 28 (1985), 1583.CrossRefGoogle Scholar
[17]Paterson, L., J. Fluid Mech. 113 (1981), 513–529CrossRefGoogle Scholar
[18]Peters, E. and Flock, D., Soc. Pet. Eng. J. (1981), 249–258.CrossRefGoogle Scholar
[19]Saffman, P. G. and Taylor, G. I., Proc. Roy. Soc. London Ser. A245 (1958), 312–329.Google Scholar
[20]Simon, R. and Kelsey, F., Soc. Pet. Eng. J. (1971), 99–112.CrossRefGoogle Scholar
[21]Simon, R. and Kelsey, F., Soc. Pet. Eng. J. (1972), 345–351.CrossRefGoogle Scholar
[22]Tryggvason, G. and Aref, H., J. Fluid Mech. 138, (1983), 1–30.CrossRefGoogle Scholar
[23]Ungar, L. H. and Brown, R. A., Phys. Rev. B 29(3) (1984), 1367–1380.CrossRefGoogle Scholar
[24]Wilson, S. D. R.. J. Colloid Interf. Sci. 51 (1975), 532–534.CrossRefGoogle Scholar
[25]Witten, T. A. and Sander, L. M., Phys. Rev. B 27 (1983), 5686.CrossRefGoogle Scholar