This article is about relative permeability in multiphase flow in porous media. For relative magnetic permeability, see Permeability (electromagnetism) § Relative permeability and magnetic susceptibility

In multiphase flow in porous media, the relative permeability of a phase is a dimensionless measure of the effective permeability of that phase. It is the ratio of the effective permeability of that phase to the absolute permeability. It can be viewed as an adaptation of Darcy's law to multiphase flow.

For two-phase flow in porous media given steady-state conditions, we can write

q i = − k i μ i ∇ P i for i = 1 , 2 {\displaystyle q_{i}=-{\frac {k_{i}}{\mu _{i}}}

abla P_{i}\qquad {\text{for}}\quad i=1,2}

where q i {\displaystyle q_{i}} is the flux, ∇ P i {\displaystyle

abla P_{i}} is the pressure drop, μ i {\displaystyle \mu _{i}} is the viscosity. The subscript i {\displaystyle i} indicates that the parameters are for phase i {\displaystyle i} .

k i {\displaystyle k_{i}} is here the phase permeability (i.e., the effective permeability of phase i {\displaystyle i} ), as observed through the equation above.

Relative permeability, k r i {\displaystyle k_{\mathit {ri}}} , for phase i {\displaystyle i} is then defined from k i = k r i k {\displaystyle k_{i}=k_{\mathit {ri}}k} , as

k r i = k i / k {\displaystyle k_{\mathit {ri}}=k_{i}/k}

where k {\displaystyle k} is the permeability of the porous medium in single-phase flow, i.e., the absolute permeability. Relative permeability must be between zero and one.

In applications, relative permeability is often represented as a function of water saturation; however, owing to capillary hysteresis one often resorts to a function or curve measured under drainage and another measured under imbibition.

Under this approach, the flow of each phase is inhibited by the presence of the other phases. Thus the sum of relative permeabilities over all phases is less than 1. However, apparent relative permeabilities larger than 1 have been obtained since the Darcean approach disregards the viscous coupling effects derived from momentum transfer between the phases (see assumptions below). This coupling could enhance the flow instead of inhibit it. This has been observed in heavy oil petroleum reservoirs when the gas phase flows as bubbles or patches (disconnected). [1]

Assumptions [ edit ]

The above form for Darcy's law is sometimes also called Darcy's extended law, formulated for horizontal, one-dimensional, immiscible multiphase flow in homogeneous and isotropic porous media. The interactions between the fluids are neglected, so this model assumes that the solid porous media and the other fluids form a new porous matrix through which a phase can flow, implying that the fluid-fluid interfaces remain static in steady-state flow, which is not true, but this approximation has proven useful anyway.

Each of the phase saturation must be larger than the irreducible saturation, and each phase is assumed continuous within the porous medium.

Approximations [ edit ]

Based on experimental data, simplified models of relative permeability as a function of water saturation can be constructed.

An often used approximation of relative permeability is the Corey correlation [2] [3] [4] which is power law in the water saturation S w {\displaystyle S_{w}} . If S w i r {\displaystyle S_{\mathit {wir}}} (also denoted S w r {\displaystyle S_{\mathit {wr}}} , or S w c {\displaystyle S_{\mathit {wc}}} ) is the irreducible (or minimal or connate) water saturation, and S o r w {\displaystyle S_{\mathit {orw}}} is the residual (minimal) oil saturation after water flooding (note that it is the oil saturation), we can define a normalized (or scaled) water saturation value

Normalization of water saturation values

S w {\displaystyle S_{w}} N o {\displaystyle N_{\mathit {o}}} N w = 2 {\displaystyle N_{\mathit {w}}=2} Example of Corey approximation in normalizedcoordinates, here

S w n = S w n ( S w ) = S w − S w i r 1 − S w i r − S o r w {\displaystyle S_{\mathit {wn}}=S_{\mathit {wn}}(S_{w})={\frac {S_{w}-S_{\mathit {wir}}}{1-S_{\mathit {wir}}-S_{\mathit {orw}}}}}

The Corey correlations of the relative permeability of oil and water are then

K r o w ( S w ) = ( 1 − S w n ) N o {\displaystyle K_{\mathit {row}}(S_{w})=(1-S_{\mathit {wn}})^{N_{\mathit {o}}}} K r w ( S w ) = K r w o S w n N w {\displaystyle K_{\mathit {rw}}(S_{w})=K{_{\mathit {rw}}^{o}}S_{\mathit {wn}}^{N_{\mathit {w}}}}

when the permeability basis is oil with irreducible water present.

We note the desired properties

K r o w ( S w i r ) = 1 K r o w ( 1 − S o r w ) = 0 K r w ( S w i r ) = 0 K r w ( 1 − S o r w ) = K r w o {\displaystyle {\begin{aligned}K_{\mathit {row}}(S_{\mathit {wir}})&=1&K_{\mathit {row}}(1-S_{\mathit {orw}})&=0\\K_{\mathit {rw}}(S_{\mathit {wir}})&=0&K_{\mathit {rw}}(1-S_{\mathit {orw}})&=K_{\mathit {rw}}^{o}\end{aligned}}}

The empirical parameters N o {\displaystyle N_{\mathit {o}}} and N w {\displaystyle N_{\mathit {w}}} can be obtained from measured data either by optimizing to analytical interpretation of measured data, or by optimizing using a core flow numerical simulator to match the experiment(often called history matching). N o {\displaystyle N_{\mathit {o}}} = N w = 2 {\displaystyle N_{\mathit {w}}=2} is sometimes appropriate.The physical property K r w o {\displaystyle K_{\mathit {rw}}^{o}} is called the end point of the water relative permeability, and it is obtained either before or together with the optimizing of N o {\displaystyle N_{\mathit {o}}} and N w {\displaystyle N_{\mathit {w}}} .

In case of gas-water system or gas-oil system there are Corey correlations similar to the oil-water relative permeabilities correlations shown above.

The Corey approximation only has one degree of freedom for the oil relative permeability and two degrees of freedom for the water permeability (in S w n {\displaystyle S_{wn}} ). The LET-correlation [5] [6] adds more degrees of freedom in order to accommodate the shape of measured relative permeability curves in SCAL experiments.

K r w o = 0.6 {\displaystyle K_{\mathit {rw}}^{o}=0.6} S w {\displaystyle S_{w}} Example of LET-correlation with L,E,T all equal to 2, and. Normalizedcoordinates.

The LET-type approximation is described by 3 parameters L, E, T. The correlation for water and oil relative permeability with water injection is thus

K r w = K r w o S w n L w S w n L w + E w ( 1 − S w n ) T w {\displaystyle K_{\mathit {rw}}={\frac {{K_{\mathit {rw}}^{o}}S_{\mathit {wn}}^{L_{\mathit {w}}}}{{S_{\mathit {wn}}}^{L_{\mathit {w}}}+{E_{\mathit {w}}}{(1-S_{\mathit {wn}})}^{T_{\mathit {w}}}}}}

and

K r o w = ( 1 − S w n ) L o ( 1 − S w n ) L o + E o S w n T o {\displaystyle K_{\mathit {row}}={\frac {(1-S_{\mathit {wn}})^{L_{o}}}{{(1-S_{\mathit {wn}})^{L_{o}}}+{E_{\mathit {o}}}S_{\mathit {wn}}^{T_{\mathit {o}}}}}}

written using the same S w {\displaystyle S_{w}} normalization as for Corey.

Only S w i {\displaystyle S_{\mathit {wi}}} , S o r w {\displaystyle S_{\mathit {orw}}} and K r w o {\displaystyle K_{\mathit {rw}}^{o}} have direct physical meaning, while the parameters L, E and T are empirical. The parameter L describes the lower part of the curve, and by similarity and experience the L-values are comparable to the appropriate Corey parameter. The parameter T describes the upper part (or the top part) of the curve in a similar way that the L-parameter describes the lower part of the curve. The parameter E describes the position of the slope (or the elevation) of the curve. A value of one is a neutral value, and the position of the slope is governed by the L- and T-parameters. Increasing the value of the E-parameter pushes the slope towards the high end of the curve. Decreasing the value of the E-parameter pushes the slope towards the lower end of the curve. Experience using the LET correlation indicates the following reasonable ranges for the parameters L, E, and T: L ≥ 0.1, E > 0 and T ≥ 0.1.

In case of gas-water system or gas-oil system there are LET correlations similar to the oil-water relative permeabilities correlations shown above.

See also [ edit ]

References [ edit ]