part 8- type curve analysis

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    Type Curve Analysis-WTA 1

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    Type Curve Analysis-WTA 2

    U on com letion of this section, the student should be able to:

    1. Identify wellbore storage and middle time regions on type

    curve.

    2. Identify pressure response for a well with high, zero, or

    negative skin.

    .

    buildup tests using drawdown type curves.

    4. Calculate wellbore storage coefficient, permeability, and skin

    factor from type curve match.

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    If we rearran e terms in the Ei-function solution, we can rewrite

    the equation in terms of dimensionless variables.

    For the line-source solution, we define the dimensionless

    pressure, pD, the dimensionless time, tD, and the dimensionless

    radius, r .

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    Althou h we did not realize the im ortance at the time, we defined

    skin factor to be dimensionless.

    To account for wellbore storage, we define an additional

    dimensionless variable - the dimensionless wellbore storage

    coefficient, CD.

    It is important to notice the similarity between Pd and S..

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    The Grin arten t e curve describes the ressure res onse under

    the following assumptions:

    1. Constant rate production from a

    2. Vertical wellbore in an

    3. Infinite-acting homogeneous reservoir that is

    . e w s ng e p ase qu o sma an cons an

    compressibility

    5. Infinitesimal skin that may be modeled with an apparent

    wellbore radius

    6. Constant wellbore storage coefficient

    The Gringarten type curve was specifically developed for

    drawdown tests in oil wells. We will see that we may use it (withsome limitations) to analyze pressure buildup tests in addition to

    drawdown tests, and to analyze gas well tests as well as oil well

    tests.

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    In the Grin arten t e curve, the time is lotted as t /C , and the

    dimensionless wellbore storage coefficient and the skin factor are

    combined into a parameter CDe2s.

    Each value of the parameter CDe2s describes a pressure response

    having a different shape.

    We call the set of curves with different values of CDe2s a type

    curve, and the individual curves for different values of CDe2s are

    called stems.

    Note the similarity between any adjacent pair of curvescorresponding to different values of CDe2s. This similarity causes

    a lot of uncertainty when doing type curve analysis using pressure

    curves only.

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    If we calculate the lo arithmic derivative of the semilo

    approximation to the line source solution, we find that the result is

    a constant that depends on flow rate, fluid properties, and rock

    properties.

    The logarithmic derivative of the dimensionless form of the same

    equation is a constant with the value 0.5.

    Note that the logarithmic derivative of pressure has the same

    units as pressure.

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    Just as we constructed a dimensionless t e curve with different

    stems corresponding to different values of CDe2s, we can

    construct a derivative type curve from the logarithmic derivative of

    the pressure type curve.

    The shapes of these stems are much more distinctive than those

    for the pressure type curve.

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    Each of the stems on the Grin arten t e curve exhibits

    characteristic behavior.

    At early times, the pressure and pressure derivative fall on a unit-

    slope line. During this period, the pressure response is

    completely determined by the wellbore properties. Permeabilitycannot be estimated if the only data available lies within this

    WBS-dominated period.

    After WBS effects have ceased, the derivative follows a horizontal

    line. This is referred to as the middle time region. Permeability

    may be estimated whenever there is 1/2 log cycle or more of data

    in the middle time region.

    ere s a rans on per o e ween e un s ope ne an e

    middle time region. During this transition, both WBS andreservoir properties influence the pressure response. It is

    sometimes possible to estimate permeability using data during

    WBS and the transition, but the results are not as reliable as

    when there is data l in in the middle time re ion.

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    Skin factor may be estimated qualitatively by the shape of the

    .

    High skin factor

    The pressure derivative rises to a maximum and then falls

    sharply before flattening out for the MTR. The pressure curve rises along a unit slope then flattens out

    .

    The pressure and pressure derivative are separated by ~2 log

    cycles after the end of WBS.

    Little or no skin factor

    The pressure derivative rises to a maximum, then falls only

    sli htl before flattenin out for the MTR.

    The pressure and pressure derivative are separated by ~1 log

    cycle after the end of WBS.

    Negative skin factor

    The pressure derivative approaches a horizontal line from

    below.

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    The pressure and pressure derivative both leave the unit slope

    line early, but take a long time to reach the MTR.

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