6. compositional simulation

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 PAB3053 Reservoir Modeling and Simulation Semester: MAY2015 Compositional Simulation Petroleum Engineering Department Berihun M. Negash UNIVERSITI TEKNOLOGI PETRONAS

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Compositional Simulation

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  • PAB3053

    Reservoir Modeling and Simulation

    Semester: MAY2015

    Compositional SimulationPetroleum Engineering Department

    Berihun M. Negash

    UNIVERSITI TEKNOLOGI PETRONAS

  • CHAPTER OUTCOMES

    At the end of this session students should be able to

    Understand the concept of compositional simulation

    Discover Application areas of Compositional simulation.

    Apply the Governing Equations for Compositional Simulation.

  • Exercise

    Depict the five reservoir fluid types on a multicomponent phase

    diagram.

    Describe black oil and compositional models by making use of

    a simple schematic diagram.

    Briefly explain the application areas of a compositional model.

    Why compositional model is not used for all types of problems.

  • Why simulate?

  • PVT data

    Black Oil

    Volatile oil

    Retrograde gas

    Wet gas

    Dry gas

  • Why analyze PVT data?

    Why we need PVT

    properties of fluids?

    Where in the

    production stage do

    we need PVT

    properties of the

    hydrocarbon fluids?

  • Answer!!!

    we need to know how the fluids behave

    within the reservoir,

    within the wells,

    at surface conditions,

    in the network and at the refinery.

    The fluid properties need to be known over a wide

    range of temperatures and pressures.

    When gas is injected into the reservoir, we also need to

    know how the properties of the original reservoir fluid

    will change as the composition changes.

  • We also need to predict PVT fluid

    properties

    The composition of well stream as a function of time

    Completion design, which depends on the properties of the wellbore liquids

    Whether to inject or re-inject gas, and if so

    The detailed specification of the injected gas - how much C3, 4, 5s to leave in

    separator configuration and stage for injection gas

    Miscibility effects that may result from the injected gas

    The amounts and composition of liquids left behind and their physical properties: density, surface tension, viscosity.

    Separator/NGL Plant Specifications

    H2S and N2 concentration in produced gas

    Product values vs. time

  • Black Oil and Compositional

    Fluid Models

    Black Oil Model

    Oil and Gas phases are represented by two components:

    one component called oil and another component

    called gas.

  • Compositional Model

    Compositional Model

    Oil and Gas phases are represented by multicomponent

    mixtures.

  • Uses of Compositional Simulation

    Volatile oil (oAPI changes, oil vaporizes)

    Miscible EOR (CO2, LPG)

    Condensate (cycling, oil flows)

    Gas cycling (injection of dry gas)

    Injecting new fluid (N2)

    Cases where gas injection/re-injection into an oil produces a

    large compositional changes

    Surface facilities department needs detailed compositions

    of the production stream.

  • Phase Diagram

  • Contd

    If the reservoir temperature and pressure are close to

    the critical point of the reservoir fluid, or if they get

    close to each other during the simulation

    Even if we are not injecting gas into a reservoir, we

    may still need to consider compositional simulation if

    there are:

    Large compositional variations with depth

    Large temperature variation with depth

    Large compositional variation in the x-y direction

  • When to use Black Oil Simulation!

    If the reservoir stays as a single-phase oil or a single-phase gas

    during its entire history, away from the critical point, then it

    can in general be can be modeled with a black-oil model.

    If the reservoir is two-phase at any time during the

    simulation then there will be some compositional effects. In

    many cases however these can be approximated by varying

    gas/oil and oil/gas ratios to mimic small compositional

    changes.

    Condensate dropout or gas liberation should be a small part

    of the hydrocarbon in place.

    Remaining hydrocarbon composition should not change

    significantly when gas is liberated or condensate drops out

  • Advantages of Compositional Simulation

    Compositional simulators can account for the effects of

    composition on:

    Changes in phase behavior

    Multi-contact miscibility

    Immiscible or near-miscible displacement behavior in

    compositionally dependent mechanisms such as

    vaporization, condensation, and oil swelling

    Composition-dependent phase properties such as

    viscosity and density on miscible sweep-out

    Interfacial Tension (IFT) especially the effect of IFT

    on residual oil saturation.

  • Difficulties with Compositional

    Simulation

    There are a number of issues that may need to be

    considered when running any compositional

    simulator.

    Calculating phase composition around the critical point can

    be difficult.

    Modeling viscous fingering in large grid blocks is not easy.

    Numerical dispersion is an issue in both black-oil and

    compositional simulation, but can have a greater effect in

    compositional.

    Larger computational time

  • Summary

    Black Oil Simulation

    Components: Oil and gas Phase: Oil and gas

    HC composition remains constant

    All fluid properties are assumed to be determined by oil pressure and bubble point pressure only

    mass transfer between the two phases is normally described by the solution gas-oil ratio term, Rso

    Compositional Simulation

    Components: HCs (C1, C2, )Non HCs (CO2, H2S,) Phases: Oil and gas

    HC composition varies as the reservoir is produced

    All fluid properties are assumed to be determined by oil pressure, bubble point pressure and Composition

    Mass transfer is dealt with Flash Calculation (either using K-Values or EOS)

    Differences Between black Oil and Compositional Simulations

  • The General equation

    For a two phase Oil/gas System

    Black Oil

    + =

    +

    Compositional

    + =

    +

  • PVT prediction methods

    The methods used for PVT prediction are as follows:

    1) K-value, pk (convergence pressure) method.(This

    method is faster and can be matched with lab data and

    EOS , but it needs correction for the density of oil and the

    density of gas)

    2) Equation of State method (EOS).( It matches more

    accurate with the lab data and we can get the density of

    oil and gas)

    a) Peng-Robinson

    b) Redlich-Kwong

  • K-Value Method

    When the vapor and liquid phases are in

    equilibrium, the molecules of each component are

    condensing and vaporizing at the same rate.

    vapor = 1.0 = mole fraction of component in vapor phase

    = 1.0 = mole fraction of component in liquid phase

    = 1.0 = total mole fraction of component

    =

  • Consider one mole of a fluid of composition z1, z2...

    zN that splits at some pressure and temperature (P,

    T) into L moles of liquid of composition x1, x2...xNand V moles of vapor composition y1, y2... yN.

    Then

    + = 1

    + = Substituting for L and using the definition of

  • =

    1+ 1and =

    1+ 1

    From which

    =1

    = =1

    1

    1 + 1= 0

    The equation is called Rachford-Rice equation

  • K-values tend to get closer to 1 as pressure and temperature increases.

    QUIZ: what does a K-value of 1 indicate??????

  • Example

    Consider a fluid made up of only three components,

    C1, C3 and C10. The composition of the fluid is

    Z1 = 0.8 so we have 80% C1

    Z2 = 0.1 so we have 10% C3

    Z3 = 0.1 so we have 10% C10

    K1 =11, K2 = 1, K3 = 0.1

    what is the value of V?

    what is the value of L?

    What is the composition of the oil and of the gas?

  • EOS Methods

    Van der waals:

    +

    2

    =

    The constants a and b have positive values and are characteristic of the individual gas.

    The van der Waals equation of state approaches the ideal gas law PV=nRT as the values of these constants approach zero.

    The constant a provides a correction for the intermolecular forces.

    Constant b is a correction for finite molecular size and its value is the volume of one mole of the atoms or molecules.

    .

  • EOS Methods

    Redlich Kwong: P =

    +Where

    a =0.4272

    2

    and b =

    0.08664

    = 1 + 0.48508 + 1.55171 0.156132 1 0.5

    2

    is the acentric factor and

    =

    =

    = log 1: = 0.7

    .

  • EOS methods contd

    Peng Robinson

    =

    2 + 2 2

    Where

    a =0.4572352

    2

    , b =

    0.077796

    = 1 + 1 0.5

    2

    = 0.37464 + 1.54226 0.269922

  • Using the Van der Waals EOS to calculate

    molar volume and compressibility

    A shallow reservoir in Malaysia is at a temperature of 100F and

    a pressure of 300 psia (2.0 MPa). The fluid is pure methane.

    1. Calculate the molar volume of methane at reservoir

    conditions using the Van der Waals EOS. What is the

    compressibility factor? You will need to iterate a few times

    until convergence to find the solution.

    2. Calculate the specific volume of methane at reservoir

    conditions using the ideal gas equation. What is the

    compressibility factor?

  • Using the PengRobinson EOS to model the phase behavior

    Propane has the following properties: a critical

    temperature of 370 K; a critical pressure of 42.5 bars;

    and an acentric factor of 0.152. The gas constant is 83.1

    cm3bar/mol/K. Calculate the attraction and co-volumeparameters, a and b and the temperature

    dependence parameter at a temperature of 40C.

    Tc=370k

    Pc=42.5*10^5Pa

    =0.152

  • Black Oil

    Primary depletion

    Water flooding

    Immiscible gas injection

    Imbibition

    Compositional

    Miscible Gas injection CO2 flooding).

    Gas condensate reservoir depletion (Gas cycling, oil flows).

    The modeling of gas injection into near critical reservoirs

    Miscible flooding by CO2or enriched gas injection

    Injecting new fluid (N2)

    SummaryUses of Black Oil and Compositional Simulation

  • The Governing Equations

    We define

    Ckg = mass fraction of component k present in the gas

    phase and

    Cko = mass fraction of component k present in the oil

    phase.

    Thus, we have the conditions that for a system of Nccomponents:

    =1

    = 1 =1

    = 1

  • Contd

    Then, a mass balance of component k may be written (in

    one dimension, for simplicity):

    + =

    +

    Darcy's equations for each flowing phase are identical to

    the Black Oil equations:

    =

    =

    where = , = and + =1

  • Thus, we may write flow equations for Nc components as:

    +

    =

    +

    = 1, 2, 3,

    The properties of oil and gas phases depend on pressures

    and composition, so that the functional dependencies may

    be written:

  • The equilibrium K-values may be used to determine

    component ratios:

    The Black Oil model may be considered to be a

    pseudo-compositional model with two components.

    Again neglecting water

    component 1 is gas

    component 2 is oil

  • Assignment

    Use the definitions in the previous slide and show

    that the flow equations for the black oil simulation

    model are the same as a pseudo compositional

    model.