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    Petroleum Project

    EconomicsEcon210D

    Presentation 6

    Sensitivity Analysis for ChangingVariables

    ee! 6 1

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    Changing Variables

    Economic evaluations are made based on

    assumed parameters

    These parameters are likely to change

    over life of field

    Such changes would affect the feasibility

    of the project

    2Sensitivity Analysis for hanging!ariables "eek #

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    Sensitivity Analysis forChanging Variables

    $easuring the effect of changes in key

    variables on the economic performance of

    an investment%

    &arameters are varied one at a time with

    all other variables held constant%

    The effect on '&! is usually measured%

    (Sensitivity Analysis for hanging!ariables "eek #

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    Petroleum Project Parameters

    Parameter Field Estimate

    Recoverable Reserves 160 mbo

    Field Life 20 years

    Oil Price $60Total CAPE $!00m

    OPE "er bbl $!

    Sensitivity analysis e)amines the effect ofchanges in any one of these parameters on

    the economic evaluation of a project%*Sensitivity Analysis for hanging

    !ariables "eek #

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    "n#e$en#ent an# ControlVariables

    The parameters which are changed in the

    sensitivity analysis is called the

    independent variable%

    The other variables in the sensitivity

    analysis which are held constant are called

    control variables%

    +Sensitivity Analysis for hanging!ariables "eek #

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    "n#e$en#ent an# ControlVariables

    ParameterField

    EstimateSensitivityAnalysis

    Recoverable

    Reserves 160 mbo Co#trolField Life 20 years Co#trolOil Price $60 #de"e#de#t

    Total CAPE $!00m Co#trolOPE "er bbl $! Co#trol

    ,n this sensitivity analysis- oil price is theindependent variable and all other parameters

    are control variables%#Sensitivity Analysis for hanging

    !ariables "eek #

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    S$i#er Plots Sensitivity analysis e)amines "hat if3 situations

    based on changes in one parameter at a time%

    Spider plots are used to present graphically

    several sensitivity analyses

    This helps to give a visuali4ation of the

    parameters which has the biggest effect on a

    projects profitability%

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    S$i#er Plots

    Change inIndepend

    ent

    Variable

    NPV due to change in IndependentVariables

    Price OPEXCAPE

    X

    eser

    ves

    Field

    !i"e

    #a$

    %!0& 0'0 %2'( !') !') )'* 1'!

    %2!& 1'! 0'0 +'+ +'+ !') 2'2

    0& 2'( 2'( 2'( 2'( 2'( 2'(

    2!& +'+ !') 1'! 1'! 0'0 ,'6

    !0& !') )'* 0'0 0'0 %2'( +'+0Sensitivity Analysis for hanging

    !ariables "eek #

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    1/Sensitivity Analysis for hanging!ariables "eek #

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    11Sensitivity Analysis for hanging!ariables "eek #

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    %ther "n#e$en#ent Variables

    Altered production profiles

    hanges in production start6up date

    7nscheduled shut downs

    ,nflation

    12Sensitivity Analysis for hanging!ariables "eek #

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    1(Sensitivity Analysis for hanging!ariables "eek #

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    )ome or!

    7sing the data in the following slide-

    together with the data from presentation *

    conduct a sensitivity analysis based on the

    changes in the slide which follows%

    7se the results to construct a spider plot%

    1*

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    IndependentVariable

    Price OPEX CAPEX

    Percentage

    Change

    %!0& %2'( !')

    !0& 0 +'+