Effective Rheology of Bubbles Moving in a Capillary Tube
Santanu Sinha,1, ∗ Alex Hansen,1, † Dick Bedeaux,2, ‡ and Signe Kjelstrup2, §
arXiv:1208.4538v1 [physics.flu-dyn] 22 Aug 2012
2
1
Department of Physics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway
Department of Chemistry, Norwegian University of Science and Technology, N-7491 Trondheim, Norway
(Dated: October 12, 2018)
We calculate the average volumetric flux versus pressure drop of bubbles moving in a single
capillary tube with varying diameter, finding a square-root relation from mapping the flow equations
onto that of a driven overdamped pendulum. The calculation is based on a derivation of the
equation of motion of a bubble train from considering the capillary forces and the entropy production
associated with the viscous flow. We also calculate the configurational probability of the positions
of the bubbles.
PACS numbers: 47.56.+r, 47.55.Ca, 47.55.dd, 89.75.Fb
Multiphase flow in porous media plays a pivotal role
in a vast range of applications in different fields such as
oil recovery, soil mechanics and hydrology [1–4]. In spite
of its relevance in these important fields, fundamental
questions still linger on. In particular, this is true in connection with steady-state multiphase flow [5–11], which
sets in after the initial instabilities such as viscous fingering are over in e.g. flooding experiments. A way to
study this flow in the laboratory, is to simultaneously
inject the two immiscible fluids into the porous medium
and let them mix until a steady state where clusters and
bubbles break up and merge but in such a way that their
averages remain constant [10, 11].
Recently, the relation between average volumetric flow
and excess pressure drop across the system has been investigated both experimentally and theoretically [10–13].
The conclusion from these studies is that the volumetric
flux depends quadratically on the excess pressure. This
is in contrast to the assumptions of linearity commonly
made when considering such systems, e.g. in connection
with invoking the concepts of relative permeability in
reservoir simulations at the flow rates where capillary
and viscous forces compete [14].
One aim of this work is to derive the volumetric flux
versus excess pressure drop for a single capillary tube.
We find that there is a square root singularity in this relation. This is in contrast to a the situation for network of
pores, i.e., a porous medium. We base this calculation on
the equation of motion of a bubble train in a long capillary tube with varying diameter, the Washburn equation
[15]. We derive this equation following a different route
than the now 91 year old original derivation. Lastly, we
derive the probability distribution of the configuration of
bubbles in the tube. This makes it possible to calculate
the average of any quantity associated with the flow.
We assume a long tube of length L oriented along an x
axis. The radius of the tube, r, varies with the position
along the tube as
r=
r0
,
1 − a cos (2πx/l)
(1)
xi
∆x
xf
ro
P1
1
0
Pio
Water
Piw
Pfo
Oil
Water
Pfw
P2
1
0
x
l
FIG. 1: Shape of tube and corresponding pressure drops.
where r0 is the average radius of the tube, l is the wavelength along the tube and a is the dimensionless amplitude of the oscillation, see Fig. 1. We assume L ≫ l.
We now imagine a bubble in a tube segment with
length l limited by interfaces at xi and xf . The fluid
in the bubble (“oil”) is less wetting with respect to the
tube walls than the fluid outside the bubble (“water”).
The capillary pressure drop across the interface between the two fluids at xi is [2]
2σwo
2πxi
2σwo
,
(2)
1 − a cos
=
r(xi )
r0
l
and across the interface at xf ,
2σwo
2σwo
=−
−
r(xf )
r0
1 − a cos
2πxf
l
.
(3)
Here, σwo is the surface tension between the two fluids.
We sum the two capillary pressure drops to get
4σwo a
2πxb
π∆xb
pc (xb ) =
sin
, (4)
sin
r0
l
l
2
where we have defined xb = (xi + xf )/2 and ∆xb =
xf − xi . We assume the length of the bubble ∆xb to be
smaller than the wavelength l, which is also equal to the
length of the tube segment. Furthermore we have chosen
the origin of the x-coordinate such the whole bubble is
located between 0 and l.
We assume the viscosities of the two fluids to be µw
(“water”) and µo (“oil”) respectively. In order to derive
a constitutive equation between volumetric flux q and
pressure drop along the tube, ∆P = (L/l)∆p, we consider the entropy production of a tube segment with an
average cross-sectional area πr02 and length l [16],
dS
=
dt
Z
l
dx ṡ(x) ,
(5)
0
where ṡ(x) the entropy production in the tube per unit
of length at position x. We assume the temperature to
be constant along the tube. The entropy production
in the fluid sections times the temperature is equal to
−q∂p(x)/∂x, where q is the volumetric flux and p(x) the
pressure at x. Because of the incompressible nature of
the flow, the volumetric flux is independent of position.
There is no excess entropy production at the interfaces
between the fluid and the bubble, assuming equilibrium
between the two immiscible fluids, cf. Eqs. (2) and (3).
Substituting ṡ(x) into Eq. (5) and integrating gives
Θ
dS
= −q (piw − p1 ) − q (pf o − pio ) − q (p2 − pf w )
dt
(6)
= −q (∆p − pc (xb ))
piw − p1 = −Rw xi q
πr04
(∆p − pc (xb )) .
8µav l
(10)
1
[(l − ∆xb ) µw + ∆xb µo ]
l
(11)
q=−
where
µav =
is the average viscosity of the two fluids, which we note
is independent of the position of the bubble. One may
obtain a similar expression directly from Eq. (7). Eqs.
(10) and (11) were first derived by Washburn [15], but
by a different route. The present procedure clarifies why
Eq. (10) should contain the average viscosity and how
the contribution due to the capillary pressure arises.
The center of mass coordinate of the bubble moves as
πr02 ẋb = q. Hence, we have the equation of motion
2πxb
r02
,
(12)
∆p − γ sin
ẋb = −
8lµav
l
where we have defined
γ=
4σa
sin
r0
π∆xb
l
.
(13)
We introduce the angle variable θ = 2πxb /l and the time
scale τ = γtπr02 /(4l2 µav ). We assume the pressure drop
to be negative, ∆p = −|∆p|. The equation of motion
(13) then becomes
dθ
|∆p|
=
+ sin θ ,
dτ
γ
(7)
where Θ is the temperature, ∆p = p2 − p1 is the pressure
drop across a length l and pc (xb ) = pio − piw + pf w −
pf o is the capillary pressure difference given in Eq. (4).
The resulting linear force-flux relations for the pressure
differences in the three sections are written in the form
pf o − pio = −Ro ∆xb q
p2 − pf w = −Rw (l − xf ) q
The sum of the pressure differences gives the constitutive
equation for motion of a single bubble
(14)
which is nothing but the equation of motion for the overdamped driven pendulum [17].
The period Tτ (measured in the same units as τ ),
needed for the bubble to move from one end of the tube
with length l to the other end for a given ∆p, is
Z 2π
Z Tτ
2πγ
dθ
,
(15)
= p
dτ =
Tτ =
dθ/dτ
∆p2 − γ 2
0
0
In seconds this time is
(8)
T =
where Rw and Ro are the Onsager resistivities per unit
of length for the flow of water and bubble phases, respectively. Using Poisseulle flow the Onsager resistivities are
equal to 8µ/(πr04 ), where µ is the viscosity of the fluid
considered. The resulting pressure differences are
4l2 µav
8l2 µav
.
Tτ = 2 p
2
γπr0
r0 ∆p2 − γ 2
(16)
piw − p1 = −
We then define the time-averaged angular speed as
Z Tτ
Z 2π
dθ
1
1
dθ
h i =
dτ =
dθ
dτ
Tτ 0 dτ
Tτ 0
1 p 2
2π
=
=
∆p − γ 2 .
(17)
Tτ
γ
pf o − pio
Now, transforming back from dθ/dτ to ẋb to volumetric
flux, q, we find the time-averaged flux equation
p2 − pf w
8
xi µw q
πr04
8
= − 4 ∆xb µo q
πr0
8
= − 4 (l − xf ) µw q
πr0
(9)
hqi = −
p
πr04
sgn(∆p)Θ(|∆p| − γ) ∆p2 − γ 2 ,
8µav l
(18)
3
where sgn is the sign function and Θ is the Heaviside
function. Hence, for |∆p| < γ there is no flow through
the tube. Furthermore, if there is flow, T hẋb i = l, as one
would expect.
We see that we can write Darcy’s law for the time
averaged volume flux only if γ = 0, which is the case if
the tube has a constant radius (a = 0). The deviation
from this law for the time average is due to a capillary
pressure which varies as a function of the position of the
bubble along the tube. The effective flux equation (18)
has a threshold pressure that must be overcome to induce
flow, γ defined in Eq. (13). Close to this threshold, when
|∆p| − γ ≪ γ, the average flow equation becomes
hqi = −
p
πr04 p
2γsgn(∆p)Θ(|∆p|−γ) |∆p| − γ , (19)
8µav l
i.e., there is a square root singularity. As shown in Ref.
[17], this square root is a consequence of the quadratic
extremum of r in Eq. (1) leading to a saddle-node bifurcation, and therefore it does not depend on the specific
sinusoidal shape of the profile chosen. The smaller the
value of r0 , the larger is the threshold value. A radius
of 10 micrometer can give a threshold of the order of 80
bar, which is non-negligible for most practical purposes.
We may generalize these considerations to a tube segment with length L = (2N + 1) l in which there are
2N + 1 bubbles numbered from −N to N . Each bubble j may be characterized by a center of mass position
xj and a width ∆xj . In view of the incompressible nature of the flow the volume flux q is independent of the
position. This implies that the velocity x˙j of all the bubbles is the same, x˙0 = x˙j . The equation of motion (12)
may then be generalized as follows,
+N
X
r02
2π
x˙0 = −
(x0 + δxj ) ,
∆P −
γi sin
8Lµav
l
It should be noted that Γs and Γc are proportional to the
number of segments 2N + 1 with length l and therefore
to the total length L.
On non-dimensional form, Eq. (22) becomes
dθ
Γc
|∆P |
cos θ .
(25)
=
+ sin θ +
dτ
Γs
Γs
Choosing this form, we have assumed Γs > Γc . Hence,
the saddle-node bifurcation will occur in the sine term
and not in the cosine term, which may be ignored. Working through the arguments leading to (18), we end up
with the same effective flux equation as for the onebubble case, but with γ substituted for Γs . If, on the
other hand, Γc > Γs , we may shift θ by π/2, and we
are back to Eq. (25), but with Γs and Γc interchanged.
Hence, again we find an effective flux equation as (18),
but with γ substituted for Γc .
Hansen and Ramstad [18] proposed to approach
steady-state immiscible two-phase flow in porous media
using the methods of statistical mechanics. A central
quantity in this context is the configurational probability
Π{configuration}. Possessing this quantity makes it possible to calculate the average of any quantity associated
with the flow. We now derive the configurational probability for bubbles in a capillary tube. The derivation is
based on mapping the time average on to a configurational average.
Time averaging assumes that the states in each time
interval are equally probable. The state of the tube at
time t is characterised by the position xb (t) of the bubble.
The time average of a function f (xb (t)) is therefore given
by
hf i =
1
T
j=−N
(20)
where ∆P is the total pressure drop over the whole tube
segment and δxj ≡ xj − x0 . Furthermore we define
π∆xj
4σa
.
(21)
sin
γj =
r0
l
By using trivial trigonometric identities, we may rewrite
this expression as
r2
2πx0
2πx0
x˙0 = − 0
− Γc cos
∆P − Γs sin
8Lµav
l
l
(22)
where
+N
X
2πδxj
Γs =
γj sin
,
(23)
l
j=−N
and
Γc =
+N
X
j=−N
γj cos
2πδxj
l
.
(24)
Z
T
f (xb (t))dt .
(26)
0
Using the relation between xb and t we may write this
average as an average over xb in the following way:
1
T
Rl
1
0 f (xb ) dxb /dt dxb
p
R
l
(xb )
dxb .
= 1l ∆p2 − γ 2 0 |∆p|+γfsin(2πx
b /l)
hf i =
(27)
This may be written as
hf i =
Z
l
Π(xb )f (xb )dxb ,
(28)
0
where
p
1
∆p2 − γ 2
Π(xb ) =
=
T (dxb /dt)
l (|∆p| + γ sin (2πxb /l))
(29)
is the probability that the bubble has the position xb .
This probability distribution can be interpreted as the
probability distribution of an ensemble of tubes. Hence,
it is the configurational probability.
4
The configurational probability depends on the manner the flow is controlled. If q is kept constant Π(xb ) =
(T ẋb )−1 = 1/l. If ∆p is kept constant one finds the value
given on the right hand side of Eq. (29). Whether q or
∆P is kept constant is comparable to the choice of an
ensemble.
It is interesting to calculate a few averages in the constant ∆P ensemble. For the average velocity we find
using Eqs.(16) and (29) that
Z
hẋb i =
is non-linear and controlled by a square-root singularity.
We have shown this by deriving the equation of motion
from considering the capillary forces and the entropy production associated with the viscous flow. We have also
derived the configurational probability, i.e., the probability of bubble configurations from the equation of motion.
From this probability the average of any quantity associated with the flow may be calculated.
S. S. thanks the Norwegian Research Council for financial support.
l
Π(xb )ẋb (xb )dxb
p
r02 ∆p2 − γ 2
l
.
=
=
T
8lµav
0
(30)
We calculate the average potential energy stored associated with the capillary forces, using Eqs. (10), (29) and
pc (xb ) = γ sin (2πxb /l), finding
hpc qi =
Z
†
‡
§
[1]
l
Π(xb )pc (xb )q(xb )dxb
[2]
0
=
∗
πγr04 p 2
∆p
8µav l2
− γ2
Z
0
l
sin
2πxb
l
[3]
dxb
(31)
[4]
The average potential energy associated with the capillary forces is therefore zero as it must be.
We proceed to consider an ensemble of single tube segments. For the ensemble we may interprete Π(xb ) as the
probability that the bubble has the position xb . For the
ensemble of tubes this contributes kB ln lΠ(xb ) to the entropy density per unit of length along the tube. Together
with the other entropy contributions in the single tube
we then have
[5]
S = S 0 + πr02 [∆xb so + (l − ∆xb ) sw ]
Z l
−kB
Π(xb ) ln lΠ(xb )dxb .
[10]
= 0.
(32)
0
From thermodynamics it follows that the entropy densities per unit of volume of the single component bulk
phases are given by so = −∂po /∂Θ and sw = −∂pw /∂Θ.
The reference value S 0 is due to other contributions to
the entropy, like the excess entropies of the surfaces,
which are constant and which we do not need to consider
explicitly. The last term, which is the configurational
entropy, is constant.
The configurational probability Eq. (29) may be generalized to a network of tubes, i.e., a porous medium [19].
This makes it possible to fulfill the program sketched by
Hansen and Ramstad [18].
We have in this note demonstrated that the average
flux-pressure relation in a tube with varying diameter
[6]
[7]
[8]
[9]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
Electronic address: Santanu.Sinha@ntnu.no
Electronic address: Alex.Hansen@ntnu.no
Electronic address: Dick.Bedeaux@ntnu.no
Electronic address: Signe.Kjelstrup@ntnu.no
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