New concepts in relative permeabilities at high capillary numbers for surfactant flooding |
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Authors: | Robert W S Foulser Stephen G Goodyear Russell J Sims |
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Institution: | (1) AEE Winfrith, DT2 8DH Dorchester, Dorset, England |
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Abstract: | Flooding oil reservoirs with surfactant solutions can increase the amount of oil that can be recovered. Macroscopic modelling of the process requires relative permeabilities to be functions of saturation and capillary number. With only limited experimental data, relative permeabilities have usually been assumed to be linear functions of saturation at high capillary numbers. The experimental data is reviewed, some of which suggest that this assumption is not necessarily correct. The basis for the assumption is therefore reviewed and it is concluded that the linear model corresponds to microscopically segregated flow in the porous medium. Based on new but equally plausible complementary assumptions about the flow pattern, a mixed flow model is derived. These models are then shown to be limiting cases of a droplet model which represents the mixing scale within the porous medium and gives a physical basis for interpolating between the models. The models are based on physical concepts of flow in a porous medium and so the approach described here represents a significant improvement in the understanding of high capillary number flow. This is shown by the fact that fewer parameters are needed to describe experimental data.Notation
A
total cross-sectional area assigned to capillary bundle
-
A
(i)
physical cross-sectional area of tube i
-
c
(i)
ordered configurational label for droplets in tube i
-
c
configuration label for tube i (order not considered)
-
D
defined by Equation (26)
-
E(...)
expectation value with respect to the trinomial distribution
-
S
r
()
fractional flow of phase
-
k
absolute permeability
-
k
r
relative permeability of phase
-
k
r
0
endpoint relative permeability of phase
-
L
capillary tube length in bundle model
-
m
(i)
number of droplets of phase a occupying tube i
-
n
exponent for phase a in Equation (2)
-
N
number of droplets in bundle model
-
N
c
capillary number
-
p
pressure
-
p(c')
probability of configuration c
-
Q
(i)
total volume flow rate in tube i
-
S
saturation of phase
-
S
flowing saturation of phase
-
S
r
residual saturation of phase
-
S
r
()
saturations when fractional flow of phase is 1 in the case of varying residual saturations for three-phase flow ( )
-
t
c
residence time for droplet configuration c
-
v
(i)
total fluid velocity in bundle tube i
- ,
phase label
- p
pressure differential across capillary bundle
- (i)
tube conductivity defined by Equation (7)
-
viscosity of phase
-
interfacial tension
-
gradient operator
- ...
average over tube droplet configurations |
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Keywords: | Relative permeabilities capillary number microemulsions micellar flooding low interfacial tension capillary bundle model mixed flow model droplet model |
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