Review of Tracer Transport Models for Reservoir Characterization

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  • 8/3/2019 Review of Tracer Transport Models for Reservoir Characterization

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    Review of Tracer Transport Models for

    Reservoir Characterization

    SPE ATW Tracer Technology for Reservoir

    Management, 22-24 June 2010Ibrahim Kocabas, Chemical Engineering Department

    American University of Sharjah, UAE

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    OUTLINE

    1. Tracers for Reservoir Description

    2. Modeling of Tracer Transport

    1. Simple homogeneous system models

    2. Simple heterogeneous system models

    3. Complex systems models-Analytical

    4. Numerical Models

    3. Conclusions

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    Information From Interwell Tracers

    1. Delineation of Flow Barriers

    2. Directional Flow Trends

    3. Volumetric Sweep at breakthrough

    4. Continuity of Sands and Shales

    5. Characterization of Faults

    6. Pattern Balancing

    7. Identification ofOffending Injectors

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    Preferential Flow Paths

    Peaks are proportional to layer flow

    capacitance, khw

    BT time is controlled by pore volume

    Tailing is controlled by heterogeneity

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    Flow Barriers

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    Characterizing Faults

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    Directional Flow Trends

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    Offending Injectors

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    Pattern Balancing

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    Modeling Equations

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    11 JJJ

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    CD

    xx!

    xx

    xx *

    2

    2

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    Theoretical Studies

    Linear TransportOgata and Banks : Purely Linear CD

    Avdonin: Coupled Single Fracture & Matrix

    Coats and Smith: Flowing and immobile mediaCorrea et al: Flowing and immobile media

    Radial transport

    Raimondy, Hoopes and Harleman: Radial CD, simplified

    Tang and Peaceman: Purely radial CD

    Falade : Radial CD with reaction

    Ramirez et al: Radial CD flowing and immobile media

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    Theoretical Studies

    Pattern Flow in Layered SystemsAbbaszadeh and Brigham

    Models based on reservoir geology

    Numerical simulatorsFinite difference models

    Streamline simulators

    Interpretations:

    Nonlinear regression on analytical models

    Assisted history matching via simulators

    Inverse modeling via simulators

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    Theoretical StudiesTransport in Homogeneous Systems: Convection,

    pure dispersion and flow geometry influence

    Ogata and Banks Tang and Babu

    !

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    Fluid Mechanics Control

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    2

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    x

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    x

    x

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    Theoretical StudiesTransport in heterogeneous systems

    Coats and Smith and also Correa et al.:

    Falade and also Ramirez et. al.:

    )(2))( 22

    1

    2/22

    sfrsrKvs

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    Baldwin: Pattern Flow approximately linear

    transport

    !

    !

    222

    1

    22

    1

    WE

    xxerfc

    x

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    dispersion is superimposed on standard deviation

    Practical Applications

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    Practical applications:

    Baldwins Work

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    Abbaszadeh and

    Brigham Work

    Practical Applications

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    Abbaszadeh and Brigham ModelField test interpretation identifies nine

    non-communicating layers

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    A second Field Example: Excellent match

    with 2 layers but kh

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    Reasoning for kh< kh actual

    Abbaszadeh explanation: there must be a

    subset of layers having disproportionate

    contribution to flow

    Streamline simulation people: geological

    model is neglected. That means there may

    be 1. Areal permeability variations 2.

    Crossflow 3. Vertical permeability variations4. Correlated permeability variations

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    If those possibilities are included streamline

    simulation will reproduce profiles with

    actual kh values (Illiasov )

    .

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    Conclusions: Pros and Cons

    Abbaszadeh: considers pattern, mobility ratio,

    heterogeneity (with constant dispersion), and

    layering

    Unresolved issues: Areal heterogeneity,

    fractures, faults, permeability streaks, two

    phase, layer communication etc

    Inverse Theory and Streamline Simulation :

    areal heterogeneity, layer communication,

    two phase, permeability streaks and so on

    honoring a priori geological model.

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    Practical Applications

    Problems with Inverse Theory:

    Results are non unique

    # of unknowns >> number of data points

    Numerical dispersion, oscillation, grid

    size/slug size

    Simulating Interfaces between Faults and

    Matrix or High K streaks with matrix

    Relatively time consuming

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    Conclusions: Practical

    ApplicationsProblems with All Models:

    Failing to include wellbore and facilities

    storage effects vertical profiling is impossible due to

    sampling practices

    Selected injection is costly and unpracticed Information is limited to that is inferred from

    given equations and not actual conditions of

    tests in the field