The Effect of the Fractal Dimension on Saturation Trajectories in Multi-phase Flow

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  • 8/12/2019 The Effect of the Fractal Dimension on Saturation Trajectories in Multi-phase Flow

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    FISICA DEL PETROLEO REVISTA MEXICANA DE FISICA49 SUPLEMENTO 3, 1416 NOVIEMBRE 2003

    The effect of the fractal dimension on saturation trajectories in multi-phase flow

    M. Gonzalez V. and M. Araujo F.

    Modeling and Reservoir Simulation Department, PDVSA Intevep

    Recibido el 13 de diciembre de 2001; aceptado el 19 de sptiembre de 2002

    Multiphase flow properties are frequently affected by the saturation history followed by the fluids up to their actual condition. In this work

    we evaluate the effect of rock wettability and its geometry on fluid saturation trajectories for imbibition and drainage processes. The reservoir

    rock is described by a fractal pore type model. By using the method of characteristics, we determine the region in the saturation space where

    the different displacement sequences take place. A strong dependence between the area associated to the saturation trajectories, the wetting

    condition of the rock, and its fractal dimension is found. These results allow us to quantify the impact of rock geometry and wettability on

    displacement hysteresis phenomena as observed in natural porous media.

    Keywords:Wettability; fractal dimension; relative permeability; multi-phase flow.

    Las propiedades asociadas al transporte de fluidos en flujo multifasico son frecuentemente afectadas por la historia de saturacion que siguen

    los fluidos hasta su configuracion actual. En este trabajo se evalua el efecto de la mojabilidad de la roca y su geometra sobre la trayectoria

    de saturacion de fluidos en procesos de imbibicion y drenaje. La roca de yacimiento se describe con un modelo tipo poro fractal. Se modelan

    procesos de imbibicion y drenaje en sistemas bifasicos y trifasicos, y se determina la region del espacio de saturacion asociado a las diferentes

    secuencias de desplazamiento que pueden obtenerse para cada tipo de flujo a partir del metodo de las caractersticas. Se encuentra una fuerte

    dependencia entre el area asociada a las trayectorias de saturacion, la condicion de mojado de la roca y su dimension fractal. Los resultados

    obtenidos permiten cuantificar el impacto de la geometr a de la roca y la mojabilidad sobre los fen omenos de histeresis observados en medios

    porosos naturales.

    Descriptores: Mojabilidad; dimension fractal; permeabilidad relativa; flujo trifasico.

    PACS: 47.55M

    1. Introduction

    The simultaneous flow of three phases - oil, water and gas

    - occurs in a variety of displacement processes in oil and

    gas reservoirs. To describe the fluid behavior under theseconditions, flow properties known as three-phase relative

    permeabilities are needed. For the case of two-phase flow

    (oil/water, gas/oil or gas/water) there are only two different

    saturation paths since the saturation of one phase may ei-

    ther increase or decrease. These are called imbibition and

    drainage processes. The three phase flow case is more com-

    plicated since there may be six different displacement paths

    in which the saturation of one phase may either increase or

    decrease. Thus the modelling of three-phase relative perme-

    ability poses a particular challenge. There are three main ap-

    proaches to describe three-phase flow in porous media [1]:

    Use of steady-state experimental data for displacementsimulations;

    Use of two-phase data to calculate three-phase param-eters by empirical models such as Stones model [2,3].

    Network models that predict macroscopic parame-ters, such as relative permeabilities, directly from the

    knowledge of the pore structure and the physics of the

    displacement. A network could be constructed with

    parameters tuned to match two-phase data, and then

    used to predict three-phase relative permeabilities for

    any type of displacement [4, 5].

    In this work we present an extension of a simple fractal

    pore model known in the literature as IFPs model [1] which

    allows to introduce wettability effects on three-phase correla-

    tions and derive analytically three phase flow properties. The

    derived equations are used with the characteristics method toobtain the saturation trajectories of a three-phase system with

    a particular geometry and wetting condition. We apply this

    methodology to study pore geometry and wettability effects

    over saturation space.

    2. Method description

    2.1. Method of characteristics

    We apply the method of characteristics (MOC) by calculating

    the displacement efficiencies for a three-phase (water (i= 1),

    oil (i = 2), gas (i = 3)) flow problem [6]. Fractional flowfunctions f= (f1, f2, f3)are assumed to be a function of sat-uration only S= (S1, S2, S3). We neglect dissipative effects- capillary pressure and pressure-dependent fluid properties.

    Under the above restrictions fluid flow is described by a pair

    of partial differential equations in the variables S1(x, t) andS : 2(x, t):

    S1t+ f1x(S1 , S2) = 0, (1)

    S2t+ f2x(S1 , S2) = 0, (2)

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    THE EFFECT OF THE FRACTAL DIMENSION ON SATURATION TRAJECTORIES IN MULTI-PHASE FLOW 15

    the second index indicates differentiation with respect to that

    variable. The system of equations is written in the form of a

    conservation law:

    St+ ASx = 0, (3)

    trivially, the Jacobian matrix A is given by

    A= f11 f12f21 f22

    . (4)

    For the solution, we search for a curve in the(x, t)space suchthat

    dx

    dt|S = f11= f22= , (5)

    whereS1 = S1(),S2 = S2(),x = x(), andt = t().f1and f2 are expressed by

    fi = i3j=1 j

    , i= 1, 2, 3, (6)

    wherei is the mobility of theith phase, and is defined by

    i kri(S)

    i, (7)

    kri being the relative permeability andi the fluid viscosity.We solve the eigenvalue problem and find

    =1

    2

    (f22+ f11)

    (f11 f22)2 + 4f12f21

    , (8)

    from these expressions, we are able to calculate one satura-

    tion as a function of the other:

    dS1dS2

    = f11

    f12, (9)

    note thatS3= 1S1S2. Saturations paths for the systemstarting from an initial condition (SI) up to an injected con-

    dition (SJ) are determined. This trajectory will depend on of

    three-phase relative permeability correlation used in Ref. 7.

    2.2. Three-phase relative permeability model for various

    wettability conditions

    The fluids are distributed in pores of different sizes according

    to their wetting characteristics: for a water-wet solid, water

    occupies the smallest pores, gas the largest ones and oil the

    intermediate size pores. We describe the structure of porous

    sample by a fractal pore type model [1] which consists of abundle of parallel capillary tubes with a fractal cross-section.

    The cross-section of each tube is constructed by an itera-

    tive process, dividing half perimeter of a circle into a cer-

    tain number of parts, and replacing each one by half a cir-

    cle. In this process, a fractal object is generated. The fractal

    dimensionDL is related to the number of elements gener-ated at a given scale. This property can be determined from

    macroscopic properties such as the capillary pressure using

    Pc S11/(DL2). To describe in a more general case the

    wetting condition of a sample, a wettability index is intro-

    duced. This parameter has a value between 0 and 1 according

    to the wetting characteristic to be modelled (m = 1 water-wet,m = 0oil-wet). Poiseuilles law is applied to each cap-illary of the bundle to calculate the relative permeability to

    each fluid. The expressions found are

    kr1(S1 ) = mS1

    S1r

    + (1 m) (1 (1 + S1r S1 ))4

    , (10)

    kr2(S1 ,S2) = (1 m)2S2

    S2r

    + m

    (SL) (S1r+ S2r)

    , (11)

    kr3(S3) = Krgmax(1 (1 S3 S3r)

    )4, (12)

    whereS1r, S2r andS3r are the residual saturations of eachphase, and exponents and are related to the pore geom-etry, = 1/2 DL and = 2 1. This model maybe tested experimentally by using the wettability index I asderived from an Amott-Harvey test. SinceIhas a value inthe range[1, 1], we may usem= (I+ 1)/2.

    3. Results

    In Fig. 1, it is shown a comparison of the applica-tion of the derived three phase relative permeability

    Eqs. (10)-(12) with Stone model, commonly used in

    reservoir simulation for a water-wet sample. The sat-

    uration paths are very similar in this case even though

    the relative permeabilities are completely different.

    A marked effect on the saturation paths is observed

    when the wettability and pore geometry are varied(Fig. 2). For the same boundary conditions a depen-

    dence of residual oil saturation on the wetting condi-

    tion is observed. Residual oil saturation is larger as the

    affinity of the surface for oil increases.

    FIGURE 1 . Comparison of saturation paths for Stones model and

    the extended IFP model presented here, for various flow boundary

    conditions (from SIato SJand from SIbto SJ).

    Rev. Mex. F s.49 S3(2003) 1416

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    16 M. GONZALEZ AND M. ARAUJO

    FIGURE2. Effect of wettability (a) and pore geometry (b) over saturation paths.

    4. Conclusions

    The fractal pore model introduced by Moulu et al. was ex-

    tended to derive general analytical expressions of three phase

    relative permeability for a porous structure with a wide range

    of wettability conditions. The fluid affinity is described by

    a wetting index with values in the range [0, 1]. The MOCmethod was used to study the behavior of saturation trajecto-

    ries for samples of different geometries and wettability condi-

    tions. The results found indicate that the saturation paths can

    be used as a tool to quantify flow effects under three phase

    conditions.

    1. J-C. Moulu, O. Vizika, and F. Kalaydjian,SPE38891 (1997)499.

    2. H.L. Stone,J. Pet. Tech. 22 (1970) 214.

    3. H.L. Stone,J. Can. Pet. Tech.12 (1973) 53.

    4. V. Maini and K.K. Mohanty,SPE Jour3 (1998) 238.

    5. D.H. Fenwick and M. Blunt,SPE Jour3 (1998) 86.

    6. L. Lake,Enhaced Oil Recover, 2nd ed (Ed. Hannover, 1999).

    Rev. Mex. F s. 49 S3(2003) 1416