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Two models for the simulation of multiphase flows in oil and gas pipelines

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 1

    Two models for the simulation of multiphaseflows in oil and gas pipelines

    TACITE - TINA:E. Duret, I.Faille, M. Gainville, V. Henriot, H. Tran, F. Willien.

    Consultants : T. Gallouet, H. Viviand

    Division Technologie, Informatique et Mathematiques Appliquees

    Institut Francais du Petrole, 1 et 4 avenue de Bois Preau, 92852 Rueil Malmaison

    e-mail: [email protected]

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 2

    Multiphase production network

    From the reservoir to the process installations

    100 to 300 km

    Transient Simulation

    1000 to 5000 m

    Gas

    20 to 1000 m

    Water

    Liquid

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 3

    Offshore oilfields

    Multiphase production

    Marginal fieldsnear large decreasing reservoirs :

    - small accumulations of hydrocarbons

    - financially worthwhile if low cost developments- long subsea tiebacks to existing infrastructures

    - ex : North sea

    Deep water fields

    - great water depths (1000m): no other choice- Gulf of Mexico, West Africa

    Water, oil and gas

    only two-phase flow in the following

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 4

    Two-phase flow regimes

    ex : Horizontal pipe

    Liquid Gas

    with dropletsFlow

    Annular

    Stratifiedwavyflow

    StratifiedFlow

    DispersedBubbly

    Flow

    FlowSlug

    LargeBubbleFlow

    FlowSmall Slug

    Depends on fluid velocities, gas fraction ...

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 5

    Gravity

    Large differences in flow behavior between horizontal, inclined,

    and vertical pipe flow

    Gas density and gas/liquid disctribution change as a function

    of pressure (depth)

    Non uniform elevation of the pipeline

    - pipe lying on the seabed

    - riser reaching the platform

    - can induce large scale instabilities :terrain slugging, severe slugging

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 6

    Severe-slugging phenomenon

    It occurs for low velocity of gas and liquid phases.Cyclic phenomenonthat can be broken down into 4 parts :

    1. liquid accumulates at the low point 2. blockage until the pressure becomes

    sufficient to lift the liquid column

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 7

    3. the liquid slug starts to go upward

    along the riser, the gas begins to flow

    4. the gas arrives at the top of the riser

    and the pressure rapidly decreases caus-

    ing liquid flow down

    Consequences:

    - Large surges in the liquid and gas production rates

    - Equipment trips and unplanned shutdowns if processing

    facilities are not adequatly sized

    Terrain slugging: low points in the topography of the pipe

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 8

    Industrial objectives

    Simulation tool for the design of multiphase production networks

    Maximise the production, minimize the risks and the costs

    - it is difficult to avoid severe-slugging ( shut-downs ...)

    - over dimension the processing facilities

    Simulate transient phenomenainduced either by

    - operating conditions : flowrates variations at the inlet,

    pressure variations at the outlet

    - the non uniform topography of the pipeline

    Characteristics of the flow

    - Long distance (10 to 100 kms), low velocities m/s

    - Importance of gravity and compressibility: large

    variations in the gas density, gas fraction

    Accurate estimation of outlet flowrates

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 9

    Two models for oil and gas pipelines

    I - Pipe and fluid representations

    II - Drift Flux model

    III - No pressure wave model

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 10

    Pipe and Fluid

    Pipe

    - large length, small diameters (10 to 30 cm)- 1D model with variable inclination (here : constant diameter)

    inclination

    Inlet

    Outlet

    Fluid description:

    - Two-phase Immiscible Flow : compressible gas and liquid, no

    mass transfer between phases

    - Multiphase compositionnal Flow : mass tranfer between phases assuming thermodynamical

    equilibrium

    lumping preprocessing procedure to reduce the number of

    components : 2 to 10 components

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 11

    Drift flux model

    Immiscible two-phase flow :-Mass conservation of each phase

    t(R) +

    x(RV) = 0 = G, L

    -Thermo: Phase properties .. as a function of (P,T)

    Compositional two-phase flow :

    -Mass conservation of each component k

    t(=G,L

    Ck R) +

    x(=G,L

    Ck RV) = 0 k= 1 . . . N

    R volumetric fraction, V velocity, C

    k mass fraction of component

    k in phase

    -Thermo:

    Phase properties , R, Ck as a function of(P , T , C k, k= 1..N)

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 12

    Drift flux model

    Momentum conservation equation for the mixture

    t(

    RV) +

    x(RV

    2 + P) =Tw gsin

    Algebraic slip equation: dV =VG VL

    (VM, xG, (P), d V , x) = 0

    Temperature

    T = cste or one mixture energy balance

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 13

    Characteristics of the DFM Model

    Non linear hyperbolic system of conservation laws

    tW(x, t) +

    xF(x, W(x, t)) =Q(x, W(x, t))

    - no algebraic expression ofF(x, W) and Q(x, W)

    - Jacobian DF(x, W) computed numerically

    Isothermal gas-liquid flow : 1< 2 < 3

    - under simplifying assumptions (S. Benzoni) :

    1 =vL w, 3 =vL+ w, 2 =vGw sound velocity from about 50 m/s to several 100m/s

    - 1 0 : pressure pulses (sonic waves)

    - 2 : gas volume fraction waves (fluid transport)

    2 positive or negative, 1 m/s

    - |1|>> |2|, |3|>> |2|

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 14

    Characteristics of the DFM Model

    Isothermal compositional flow:Hyperbolic system (N+ 1)(N+ 1):

    Eigenvalues1< ...k... < N+1

    - 1 0 : pressure waves

    - k : composition waves : m/s- |1|>> |k|, |N+1|>> |k|

    Low Mach Number Flows

    Main interest : fluid transport waves

    responsible for the main dynamics in the pipeline

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 15

    Boundary Conditions (Two-phase immiscible flow)

    - Inlet Boundary x= 0 : flow rates for each phase or for

    each component

    GRGVG(0, t) = QG(t)/Sect

    LRLVL(0, t) = QL(t)/Sect

    - Outlet boundary x= L : pressure, liquid can not go backinto the pipe

    P(L, t) = Poutlet(t)

    RL(L, t) = 0 si VL

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 16

    Numerical scheme

    Cell centered Finite Volume schemecell ]xi 1

    2

    , xi+ 12

    [ , unknown Wi W(xi)

    xid

    dtWi+ Hi+ 1

    2

    Hi 12

    = xiQi

    Numerical flux

    - difficult to use algebraically constructed approximate

    Riemann solver like Roe scheme

    - Rusanov : uniform dissipation on all the waves, too

    dissipative on void fraction waves

    - Idea : introduce enough numerical dissipation but preservesthe different orders of magnitude

    H(U, V) =1

    2(F(U) + F(V)) +

    1

    2D(U, V)(U V)

    D(U,V) =|DF(U)|+|DF(V)|

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 17

    Time discretisation

    Explicit scheme- CFL based on sonic waves

    - time steps too small / time of fluid transport

    Linearly implicit scheme

    Linear implicitation of the source term and of the flux

    H(Un+1, Vn+1) H(Un, Vn) + approx

    UH(Un, Vn)

    (Un+1 Un)

    +approx

    VH(Un, Vn)

    (Vn+1 Vn)

    UH(U, V)

    12

    (DF(U) + D(U, V))

    Does not account for the different wave velocities

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 18

    Semi-implicit scheme

    explicit on the slow waves and linearly implicit on the fast

    waves

    CFL based on fluid transport waves, time steps in agreement

    with the main phenomena

    Splitting of the flux into a slow waves part and a fast

    waves one- cf. G. Fernandez PHD thesis for the Euler equations

    - The small eigenvalues are cancelled in the flux

    derivatives, similar to the diagonal approach of Fernandez

    ex : DF(U) replaced by DF(U) =TT1,

    k =k(U) fork= 1, N+ 1, k = 0 for k= 2,...,N

    CFL :

    t < min(CF Lvx

    2maxk,k=2,...,N+1, C F Lp

    x2maxk,k=1,N+1

    ),

    CF Lv = 0.8, CF Lp = 20

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 19

    Second order scheme

    Wall friction and gravitational terms induce large x (P) : secondorder scheme necessary

    MUSCL approach :

    - linear reconstruction on physical variables : P, ci, VM

    - minmod limiter

    RK2 type scheme to enable CFL 0.8 on slow waves

    - second order time scheme on the slow waves

    - first order on the fast waves

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 20

    Boundary conditions (immiscible flow)

    Inlet BC imposed on the numerical fluxes

    - Fictitious cell : W0

    HG(W0, W1) = QG(t)

    HL(W0, W1) = QL(t)Lt1W0 = Lt1W1

    - Non linear system, sometimes very difficult to solve

    Outlet BC

    - Pressure BC : fictitious I+ 1 cell, WI+1

    P(WI+1) = Poutlet(t)

    Lt2WI+1 = Lt2WI

    Lt3WI+1 = Lt3WI

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 21

    Change in the flow direction at the oulet: vL

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 22

    Application : Inlet Gas Flowrate Increase

    Horizontal pipeline of 5000m length, immiscible two-phase flow

    16

    18

    20

    22

    24

    26

    0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000

    LiquidM

    assFlow

    Rate

    length

    QL t=0.QL t=100.QL t=200.QL t=500.

    QL t=1000.QL t=1500.

    Oil Mass Flowrate at different times

    16

    18

    20

    22

    24

    26

    0 500 1000 1500 2000 2500 3000 3500 4000

    OilMassF

    low

    Ratex=3000m

    Time

    SEMI-IMPLI

    IMPLI

    EXPLI

    REF

    Oil Flowrate /time at x = 3000m

    Explicit, Implicit and Semi-implicit

    Nb Step Expli = 50 * nbStep Semi-Impli

    CPU Expli = 45 * CPU Semi-Impli

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 23

    Application : 7 components

    Ascending pipeline of 5000m length and 0.146m diameter.Boundary conditions : Poutlet(t) = 10 bar

    At the inlet: Q1..Q5 constant, Q6,Q7 increased from 0 to 2 in 50 s

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000

    MassFlowRate

    length

    Q1 t=0.Q1 t=50.

    Q1 t=200.Q1 t=400.

    Q1 t=1000.Q7 t=0.

    Q7 t=50.Q7 t=200.Q7 t=400.

    Q7 t=1000.

    Q1 and Q7 at different times

    -400

    -300

    -200

    -100

    0

    100

    200

    300

    400

    0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000

    Eigenvalues

    t=

    400s

    length

    EV1EV2EV3EV4EV5EV6

    EV7EV8

    Eigenvalues at time t = 400s

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 24

    Vertical pipe : liquid fraction and flowrate

    0 10 20 30 40 50 60 70 80

    Length (m)

    0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    ( )

    Oilvolumetricfract

    0 10 20 30 40 50 60 70 80

    Length (m)

    0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    ( )

    Oilvolumetricfract

    0 10 20 30 40 50 60 70 80

    Length (m)

    -2.0

    -1.5

    -1.0

    -0.5

    0.0

    0.5

    1.0

    1.5

    2.0

    (kg/s)

    O

    ilmassflow

    rate

    t = 0.000000E+00

    t = 50.0000 s

    t = 70.0000 s

    t = 100.000 s

    t = 200.000 s

    t = 225.000 s

    t = 250.000 s

    0 10 20 30 40 50 60 70 80

    Length (m)

    0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    1.2

    1.4

    1.6

    (kg/s)

    Oilmassflow

    rate

    t = 250.000 s

    t = 300.000 s

    t = 400.000 s

    t = 500.000 s

    t = 600.000 s

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 25

    No Pressure Wave Model

    Two phase immiscible flow

    Modify the DFM model to account for the low Mach Number

    flow

    Analytical study for a simplified slip law (H. Viviand )

    - = UaG , UaL = K

    a sound velocity in phase , U characteristic velocity

    -asymptotic expansion of the solution with respect to

    Simplified momentum conservation without

    momentum time derivative and flux terms

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 26

    NPW

    Mass and simplified momentum conservation

    t(R) +

    x(RV) = 0 = G, L

    x(P) =Tw gsin

    - thermo, slip laws

    Properties

    B

    tW+ A

    xW =Q

    B is singular. Find (a, b) s.t. det(aB bA) = 0 :

    - = ab u : one fluid wave velocity

    - b= 0 : one double infinite wave velocity

    Sonic waves approximated by infinite velocity waves

    Mixed parabolic/hyperbolic system of PDE

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 27

    Compositional NPW Model

    Mass conservation of each component i

    t(=G,L

    Ci R) +

    x(=G,L

    Ci RV) = 0 i= 1 . . . N

    Thermo:

    Phase properties , R, Ci as a function of (P , T , C i)

    Simplified momentum conservation

    x(P) =Tw gsin

    Algebraic slip equation: dV =VG VL

    (VM, xG, (P), d V , x) = 0

    Same initial and Boundary conditions as DFM

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 28

    Numerical scheme

    VF scheme on staggered mesh- implicit centered scheme for the parabolic part (sonic waves)

    - explicit upwind scheme for the hyperbolic part (slow waves)

    - CFL based on phase velocities (0.4)

    Mass conservation+ thermo : cell [xi 12 , xi+ 12 ]xit

    (Ck R)

    n+1i (C

    k R)

    ni

    + Hi+ 1

    2

    Hi 12

    = 0

    Hi+ 12

    =

    (Ck R)n

    iVn+1

    i+ 12

    if (V)i+ 12

    >0

    (C

    k

    R

    )

    n

    i+1Vi+

    1

    2 otherwise

    Momentum conservation + slip law: cell [xi, xi+1]

    Pn+1i+1 Pn+1i = xiQ

    n+1i+ 1

    2

    i=1..I-1

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 29

    Boundary conditions

    Two-phase immiscible flow

    Inlet Boundary: given mass flowrates

    H 12

    =Q

    Outlet Boundary

    - Mass Fluxes :

    HLI+ 12

    =

    LI(RL)IVLI+ 12

    if (VL)I+ 12

    >0

    0 otherwise

    - Pressure

    Poutlet PI=xI

    2 QI+ 1

    2

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 30

    Application : Inlet Gas Flowrate Increase

    Horizontal pipeline of 5000m length and 0.146m diameter.

    16

    18

    20

    22

    24

    26

    0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000

    LiquidMassFlow

    Rate

    length

    DFM t=0.NPW t=0.

    DFM t=500.NPW t=500.

    DFM t=1000.NPW t=1000.DFM t=1500.NPW t=1500.

    Oil Mass Flowrate in the pipe : NPW/DFM comparison

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 31

    Severe Slugging

    60 m

    14 m

    60m long horizontal pipe, 14m long riser

    D=5cm

    Constant inlet mass flowrates and outlet pressure

    - QG= 1, 96104kg/s, QL = 2, 8510

    4kg/s

    - Poutlet = 1bar

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 32

    Severe Slugging : RL

    NPW

    RL(t)

    x= 0, 60, 74m

    0 200 400 600 800 1000 1200 1400

    Time (s)

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    ( )

    Oilvolumetricfractio

    n

    DFM

    RL(t) pour

    x= 0, 60, 74m

    0 200 400 600 800 1000 1200 1400

    Time (s)

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    ( )

    Oilvolumetricfraction

    x = 0.000000E+00

    x = 60.0000 m

    x = 74.0000 m

    DFM CPU 9 NPW CPU (single-phase flow)

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 33

    Severe Slugging : RL in the riser

    NPW

    56 58 60 62 64 66 68 70 72 74

    Length (m)

    0.0

    0.2

    0.4

    0.6

    0.8

    ( )

    Oilvolumetricfractio

    n

    DFM

    56 58 60 62 64 66 68 70 72 74

    Length (m)

    0.0

    0.2

    0.4

    0.6

    0.8

    ( )

    Oilvolumetricfraction

    t = 370.000 s

    t = 385.000 s

    t = 390.000 s

    t = 410.000 s

    t = 420.000 s

    t = 440.000 s

    t = 460.000 s

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 34

    Conclusion

    Two models and schemesadapted to low Mach Number

    compositional two-phase flow

    - DFM : scheme explicit for the slow wave and

    implicit for the fast waves

    - NPW : accoustic waves approximated by infinite valocitywaves, semi-implicit scheme

    Larger time steps for NPW, less CPU time

    Extension to

    -more complex fluid flow:

    Three-phase flow : water phase

    Four-phase flow : solid phase (hydrate, wax) for cold

    deep sea production

    -Complex networks

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    Mathematical and Numerical Aspects of Low Mach Number Flows - June 2004 35

    The Girassol ( West Africa) production network


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