cmg_advanced_processes_reservoir_simulators_english_eng.pdf

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    CMG BusinessCMG Business

    Intellectual Property Software Development

    Reservoir Simulation

    4D visualization

    Consulting, Support, Training, R&D

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    CMG BusinessCMG Business

    30%Conventional

    Oil

    30%Oilsands and

    Bitumen

    25%ExtraheavyOil

    15%Heavy Oil

    70% of the worlds oilreserves areunconventionalsources

    This is CMGsSPECIALTY

    Total World Oil Reserves(% of total reserves)

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    Our SpecializationOur Specialization

    Thermal ProcessesThermal Processes

    Combustion(THAI)

    Cyclic steam

    injection

    SAGD

    Electrical Heating

    VAPEX

    Thermal

    Continuous steam injection

    4

    Known for our superior PhysicsKnown for our superior Physics

    Leader in the EOR advanced simulation processes market (+95%)

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    Our SpecializationOur Specialization

    Chemical ProcessesChemical Processes

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    Foam

    Injection

    Low salinity

    water injection

    ASPGel injection

    CO2injection

    with Asphaltene

    Precipitation & Plugging

    Known for our superior PhysicsKnown for our superior Physics

    Leader in the EOR advanced simulation processes market (+95%)

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    Our SpecializationOur Specialization

    Enhanced Recovery in

    Unconventional Reservoirs

    Enhanced Recovery in

    Unconventional Reservoirs

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    CO2CBM / ECBM

    ShaleGas/OilTight Gas

    MicroseismicData Importedto simulator

    VAPEX

    Known for our superior PhysicsKnown for our superior Physics

    Leader in the EOR advanced simulation processes market (+95%)

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    IMEX Black Oil simulator

    GEM EOS compositional andgeomechanical simulator

    STARS K-value compositional, thermal,chemical and geomechanicalsimulator

    Reservoir Simulators

    Phase Behavior

    WINPROP

    Pre / Post Processors

    BUILDER

    RESULTS 3D

    RESULTS GRAPH

    RESULTS REPORT

    Project Manager

    Model Conversion

    ECL 100 IMPORT ASSISTANT

    CMG SoftwareCMG Software

    LAUNCHER

    History Match, Optimization,Sensitivity & Uncertainty assesment

    CMOST

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    Known for our superior PhysicsKnown for our superior Physics

    Leader in the EOR advanced simulation processes market (+95%)

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    Some of the physical phenomena we can modelSome of the physical phenomena we can model

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    Used to model changes in phase viscosity

    when a key component is added (e.g. polymer)

    Used to model non-Newtonian behavior of

    injected fluids

    shear thinning

    shear thickening

    combined model

    tabular input model

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    Some of the physical phenomena we can modelSome of the physical phenomena we can model

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    Some of the physical phenomena we can modelSome of the physical phenomena we can model

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    Compaction/Rebound

    Subsidence

    Dilation /Recompaction

    Elastic/Plastic Deformation

    2D and 3D geomechanical formulation

    Stress effects on Porosity & Permeability

    Geomechanics in Naturally Fractures modelsGeomechanical grid independent of flow grid

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    Some of the physical phenomena we can modelSome of the physical phenomena we can model

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    Gels

    Foam Microbes

    Foamy Oil

    In Situ Combustion

    High temperature oxidation

    Low temperature oxidation Fine Migration

    In situ upgrading

    Wax and asphaltene precipitation

    STARS allows modelling of first

    order, rate-dependent reaction

    kinetics for recovery processes that

    involve reactions between

    components in fluids (i.e. reservoir

    and injected) and in the formation(i.e. clays and other minerals).

    Reaction rates can depend on tem

    perature, component concentration,

    permeability and velocity.

    Examples include insitu-combustion,

    cEOR, in-situ foam generation,

    degradation & regeneration,

    emulsions, solids, etc.

    Asphaltenes precipitation

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    Some of the physical phenomena we can modelSome of the physical phenomena we can model

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    Krg = 0.01

    Krg = 1.00

    XGasTotal = Xwen fase gaseosa + XSoln-Gasen fase gaseosa

    Used to represent Wettability andResidual Oil Saturation variation with

    phase composition

    Interpolation can be a function of

    component concentration, capillarynumber and/or interfacial tension.

    pH changes

    Miscible fluids

    Flux velocities()

    Composition changes

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    Some of the physical phenomena we can modelSome of the physical phenomena we can model

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    Ty = 100 F

    T = 617 F

    Ty = 100 F

    T = 617 F

    SwirrT> SwirrTy

    SorwT< SorwTyKrwiroT> KrwiroTySorgT< SorgTy

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    Some of the physical phenomena we can modelSome of the physical phenomena we can model

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    Steam circulation (i.e.SAGD)

    Selective dual injection

    Hot diluent injection

    Tubing AnularZ

    Y

    A fully coupled mechanistic model thatcalculates the transient segregated flow of

    multi-phase fluids and heat within the wellbore

    and between the wellbore and the reservoir.

    Transient flow calculations

    Heat loss to formationFluid segregation calculations

    Friction pressure losses

    Multiple flow regimes

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    Advanced Well Modelling FeaturesAdvanced Well Modelling Features

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    Extends Discretized Well model features towells with up to 3 concentric tubing strings

    inside the wellbore plus allows for undulating

    wells that connect with more than one reservoir

    layer.

    Transient flow calculations

    Heat loss to formation

    Fluid segregation calculations

    Friction pressure losses

    Multiple flow regimes

    also models Flow Control Devices

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    Tubing 1

    Tubing 2

    Annular

    WHOC 2009-308

    Advanced Well Modelling FeaturesAdvanced Well Modelling Features

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    Used to specify actions that will beimplemented when a condition is achieved

    during the simulation forecast period.

    Can be applied to:

    wells, groups, layers, sectors, field, etc.

    Conditions[ > or

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    The objective is to reduce the simulationrun time significantly without reducing the

    calculation accuracy

    Shared Memory

    Any modelcan be parallelized regardless the

    grid complexity and well configuration or

    location

    Multimillion cell models

    Excellent Speedups

    Efficient domain manipulation

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    Advanced Simulator Performance FeaturesAdvanced Simulator Performance Features

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    Steam Flood

    SAGD

    Simulator changes the block size automatically

    based on rate of change of key parameters as

    specified by simulation engineer.

    Processes where small cells are required

    Use small cells where needed and big cells elsewhere

    Dynamic change based on:

    Temperature, Saturation

    Global Mole Fraction

    Phase Mole Fraction (o, g, w)

    Fluid Enthalpy

    Pressure

    Effective when an interface is present

    Combustion: speed up 5-7

    SAGD: speed up 2-5

    VAPEX: speed up 2-4

    Water Flood: speed up 2-4

    ASP

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    Advanced Simulator Peformance FeaturesAdvanced Simulator Peformance Features

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    4.52

    2.22

    1.27

    0.61

    4.32

    2.16 2.12

    1.04

    3.29

    1.62

    2.33

    1.17

    3.90

    1.95

    0.64

    0.35

    Serial Dynagrid Parallel Paradyn

    Hardware andDynamicGridding

    4 C PU 1 .6 5GHz P OWE5 !" # 4 C PU 2 .4 GH$ O %& er 'n ( in )*

    2 CPU3.6 GHz#e'n+E,64-Win/64 16 CPU1.9GHzPOWE5 !"#

    SAGD: 3.6 Increase with Parallel

    x 3.6 Increase with Dynagrid

    12.9Increase with Paradyne

    Powerful combination of parallel

    processing and Dynagrid features that

    multiplies the simulation time speedup

    effect!

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    Advanced Simulator Peformance FeaturesAdvanced Simulator Peformance Features

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    CMG is the leading company offering reservoir simulation technologyfor enhanced recovery and unconventional reservoir markets

    CMG technology combines all the critical EOR physics with robustnumerical performace, and as a result has been selected as thesimulator of choice for more than 95% for projects of this kind.

    CMG is the market leader in providing technologies that help thereservoir engineer with his/her EOR or Unconventional ReservoirSimulation projects, including Parallel Processing, Dynamic gridding,Coupled Geomechanics and Robust History-matcing and Optimzation.

    CMG technology can model highly complexity reservoirs and EORprocesses that require more capabilities than available in much simplerblack oil or compositional simulators.

    ConclusionsConclusions

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