CMG GEM

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    G

    EM

    GEM is a full Equation of State compositional reservoirsimulator with advanced features for modelling recoveryprocesses where the fluid composition affects recovery.GEM also models Asphaltenes, Coal Bed Methane and theGeochemistry for the sequestration of various gases includingAcid Gases and CO2.

    GEM provides reservoir simulation capabilities that go beyond theabilities of conventional black oil and K-value compositional simulators,including the effects of asphaltene precipitation and plugging. It is alsothe industrys leading Coal Bed Methane (CBM) simulator, as it canprovide accurate early time water and methane production predictions, aswell as multi-component production predictions for Enhanced CBM(ECBM) recovery. The ECBM features include extended LangmuirIsotherms to model the preferential adsorption of CO2and other gasesand models for coal shrinkage and swelling. The extensive capabilities forrepresenting asphaltene behavior and geochemical effects make GEM themost robust compositional simulator available today.

    Hydrocarbon and Acid Gas Injection

    Multiple contact miscibility

    Swelling

    Viscosity reduction

    Lowering of interfacial tension

    Gas solubility in the aqueous phase

    WAG process

    Relative permeability hysteresis

    VAPEX processes for heavy oil

    Molecular diffusion and convective dispersion

    Asphaltene precipitation, flocculation, depositionand plugging

    Gas, Gas Condensate and Volatile Oil

    Gas Cycling and Re-cycling

    Condensate blocking

    Underground Gas Storage

    GEMGeneralized Equation of State Model Reservoir Simulator

    Dynamic Reservoir Modellwww.cmgl

    Primary & Enhanced Coal Bed Methane

    Primary Depletion

    Coal Shrinkage and Swelling

    Flue Gas, CO2 and N2 Injection for enhancedCBM recovery

    Green House Gas Sequestration

    CO2 and other acid gas storage

    Aqueous equilibrium chemical reactions

    Mineral dissolution and precipitation

    Thermal Effects

    Joule-Thompson near wellbore cooling

    Deferential temperature water injection

    Fractured Reservoirs

    Naturally Fractured Reservoirs

    Hydraulically Fractured Reservoirs

    Fractured Gas Condensed Wells

    Gas-Oil Gravity Drainage

    The following is a general list of applications of GEM:

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    IMEX

    IMplicit-EXplici

    Black Oil Simula

    STARS

    Steam, Thermaand Advanced pro

    ReservoirSimula

    GEMCompositional Sim

    RESULTS

    Post-Processin

    Applications

    TECHNOLOG

    LAUNCHER

    BUILDER

    Pre-Processing

    Applications

    WINPROP

    Phase Behavior Ana

    Advanced Features of

    GEM include:

    Phase Equilibrium Models

    Equation of state for oil and gas

    Henrys law for gas solubility in the aqueous phase

    Solid model for asphaltene

    Activity coefficient model for ions in the

    aqueous phase

    Water vaporization into the gas phase

    Modelling of CO2 and Other Acid Gases

    Comprehensive modelling of gas solubility in theaqueous phase

    Comprehensive geochemistry: intra aqueousreactions, and mineral dissolutionand precipitation

    CBM & ECBM Modelling

    Standard and Extended multi-componentLangmuir Isotherms

    Palmer-Mansoori Shrinkage/Swelling (standard &multi-component)

    Asphaltene Modelling

    Thermodynamic model for asphaltene precipitation

    Reaction kinetics for asphaltene flocculation

    Surface deposition, plugging and re-entrainment

    Separators

    EOS modelling for surface separators with gasplant separator stages

    Optimize separator conditions for best overallrecovery

    Naturally and Hydraulically FracturedReservoir Modelling Dual porosity

    Dual permeability

    Sub-domain dual permeability

    Matrix-fracture diffusion

    Multi-phase non-Darcy flow

    Rate dependant relative permeability Integrated to Pinnacle Technologies, Inc.s

    FracProPT fracture design software

    Integrated to Fracture Technologies Ltds

    WellWhiz well, completion and fracture

    design software

    Dynamic Reservoir Modellingwww.cmgl.ca

    For more information or to arrange a demonstration of GEMs capabilities ioffice, contact any of the CMG Marketing and Sales offices worldwide:

    Head Office:(Calgary, Canada) 1-403-531-1300 Fax:1-403-289-8502 Email:cmgl@cmgl

    Beijing, China Caracas, Venezuela Houston, U.S.A. London, U.K.

    86-10-6209-8540 58-212-993-3990 1-281-872-8500 44-1491-832-447

    CMGs SuitIntegrate

    Modelling T

    Advanced Gridding Options

    Fundamental Grid options: Cartesian, Corner-Point,Cylindrical, & fully unstructured

    Multi-Level, Static or Recurrent Local Grid Refinement (LGR)

    Dynamic Gridding (DynaGrid) fully dynamic gridrefinement and amalgamation

    Comprehensive Well Management

    Full featured production and injection well controls

    Field, group, platform, and well level controls

    Targets, constraints, and monitoring

    Well and group hierarchies

    Voidage replacement

    Gas lift optimization

    Well, Well Group & Surface Manifold Modelling

    Fully Coupled Wellbore modelling via source/sink well model,

    Wellbore hydraulics via hydraulics tables or correlations

    Multi-Lateral Wells

    Multiple Platform Support, Windows, Linux, UNIX

    GEM supports the following Operating SystemsWindows XP (32 bit and x64)Linux: Red Hat 7.3 (32 bit) and Red Hat Enterprise 3.0 (64 bit)IBM AIX 5L (5.1 & higher)

    Performance Enhancing Features

    DynaGrid (Dynamic Gridding) fully dynamic grid refinement andamalgamation. This unique feature places small grid blocks in themodel where and when required and large blocks throughout theremainder of the model. Typical model run time decreases rangefrom 2 to 5 times.

    Parrallel Processing multi-CPU parrallel processing is supportedproviding significant decreases in model run times. CMGs uniqueparallellization method enables ANY model to be parallellizedregardless of the complexity of the grid or the location of wells.

    ParaDyne this powerful combination of parallel processing anddynamic gridding multiplies the run time reduction factors from bothoptions, resulting in reductions of 3 to 30 times depending on modelparameters and number of CPUs utilized.