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    The bankable feasibility study is not a guarantee that a mining project will produce a

    planned outcome. Further independent review is advisable, i f not necessary, to test

    and val idate strategic targets, direct ions and goals. Quant i tat ive r isk analysis can not

    only p lay a key role in the making of qu al ity decis ion s for pro ject appro val , but w i l lalso provide groun ded measures for project execut ion r isk m anagement.

    D. S. Evan s, PhD, PGeol.

    Sr. Partner

    CSC Project Management Serv icesCalgary

    403-233-7994, d ave@cscp roject.com

    Bankable feasibi l i ty studies for m ining p rojects

    CSCExcellence In Risk Management

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    Statements, other than statements of h istor ical fact , may c onst i tuteforward-look inginform at ion and inclu de, withou t l imi tat ion, t iming and con tent of

    upc om ing feasib i l ity stud ies and other econom ic or f inancia l analyses;

    ant ic ipated avai labi l i ty and terms of future f inancing; future produ ct ion,

    operat ing and capi ta l costs; and o perat ing o r f inancia l performance.

    -OR-

    Forward- lookinginformat ion invo lves var ious r isks and unc ertaint ies. There can

    be no assurance that such info rmat ion w i l l prove to beaccurate, and actual

    resul ts and future events cou ld di f fer mater ia lly from those ant ic ipated in s uch

    inform at ion. Important factors that cou ld cause actual resul ts to d i f fer m ater ia lly

    include:f luctuat ions in commodity pr ices and currency exchange rates; the

    need for co-operation o f governm ent agencies in the issuanc e of requiredpermits and approv als; the possib i l i ty of delay in development work o r in

    con struct ion and uncerta inty of meet ing ant ic ipated mi lestones; and other r isks

    and u ncerta int ies.

    There are more risks to mining than just commodity price fluctuations.

    Limitation Statements define some uncertainties, but not all of them..

    CSCExcellence In Risk Management

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    Corporate

    Performance

    Explorat ion

    Performance

    Development

    Performance

    Mining

    Performance

    Processing

    Performance

    Market ing

    Performance

    LocationUncertainty

    MiningComplexity

    Social &Environmental

    Uncertainty

    ConstructionUncertainty

    MiningUncertainty

    MetallurgicalUncertainty

    Market &Commodity

    PricingUncertainty

    Financial &Economic

    Uncertainty

    GeologicalUncertainty

    Science &TechnologyUncertainty

    Mining is a r isky business and each stage is impacted by uncertaint ies

    InvestorUncertainty

    Social &Environmental

    Uncertainty

    Social &Environmental

    Uncertainty

    Social &Environmental

    Uncertainty

    Social &Environmental

    Uncertainty

    Social &Environmental

    Uncertainty

    PoliticalUncertainty

    PoliticalUncertainty

    InvestorUncertainty

    Pervasive,Largely

    UncontrollableRisks

    Poorly Definedand somewhatControllable

    Risks

    Direct

    ControllableRisks

    Global Financial &Economic Risks

    CSCExcellence In Risk Management

    Risk Categories

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    Defini t ions & Basis

    Typical ly, a bankable feasibi l i ty stu dy is a comprehensive

    forward analysis of a projects economics (+/-15% p recisio n) to

    be used by f inanc ial inst i tut ion s to assess the credit-

    wo r th iness for p ro ject f inancing.

    The feasibi l i ty part is gu ided by a set of assumption s, astrategy, development cond it ions and a planned ou tcom e. The

    outcome is u ncer tain and targets and ob ject ives may not b e

    achievable.

    The bankable part relates to the basis and cond it ions fo r a

    future f inancial agreement to col lateral ize m ining assets for a

    project loan, to set a premium and a repayment schedu le, with

    approp r iate r isk/reward factors .

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    What do others say about m ining

    feasibility studies

    The mining industry has had a spotty record in the area ofest imating ini t ia l capital cos t and operat ional performances,even though the standard of feasibi l i ty studies has impro ved inthe last decade. Third party reviews rarely have t ime and fund s

    for due diligencetaken from Shillabeer and Gypton, MiningRisk Management , 2003, Au str al ian IMM Proceeding s

    Project Evaluation 2007 contains an article entitled The Useand Abuse of (Mining) Feasibility Studies by Mackenzie andCusw orth who s tate that mos t feasibi l i ty examples areunbalanced, or pro vide inaccurate views o f one or both

    technical and business aspects. The authors subsc r ibe to apro ject management framework (to include r isk analysis) toovercome strategic and execut ion fai lures that often occurfol low ing feasibi l i ty stud ies

    CSCExcellence In Risk Management

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    So what does +/- 15% really mean?

    A +/-15% est imate is somewhere between th e def in i t ion o f aClass 5 and Class 2 est imate. Class has to do w ith both thecon tent and qual i ty of the est imate and th e est imatingcon f idence (precision ).

    Well, doesnt contingency cover estimate shortfalls (+15%)?Conting ency is a separate decisionin sup por t of the est imateto resolv e cost uncertainty precision . Current think ing is thatcontingency will be used up for some, but not all costcategories. Contingency does NOT make the estimate moreaccurate.

    Quanti tat ive Risk Analysis is a process to assess and quant i fythe po tent ial var iances around pro ject dr ivers. When keyproject d r ivers ( i .e. r isks ) become quant i f ied, co rrect ivemeasures and act ion s can be taken, w ith conf idence, in themaking of q uali ty decis ions aboutprecis ion and accuracy.

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    Normal ly, a feasibi l i ty stud y is prepared b y a qual i f iedengineer or est imator. It is a forward-look ing document thatcaptures aprecis ionlevel but no t necessar ily an acceptable*level ofaccuracy.

    So, what does bankable feasibility really mean in terms ofaccuracyfor owner and investor conf idence in thedevelopment and c onstruc t ion of a min ing p ro ject?

    And how does r isk analysis captureprecis ion and accuracyfor better decisio n-making and execu t ing a transparent,accountable and d efensib le execut ion p lan?

    The bankable feasibi l i ty stu dy as a comprehensive engineer ing

    study , cos t est imate and m ining development plan

    CSCExcellence In Risk Management

    * As known or required by the project owner

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    The hierarchy o f Capital Cost est im ates

    Conceptual (Class 10 Estim ate)

    Class 5 (also cal led DBM Estim ate)

    Pre-Feasib i l i ty (Class 3 or 5, dependin g)

    Class 2 or 3 (+/-15% has now gained accep tance as abankable feasib i li ty s tudy )

    AFE Estim ate, may be a Class 1 or Class 2 and isdesigned to go for pro ject sanct ion & EPC bids. Itshould be the mos t accu rate and the most precise

    est imate obtainable given circumstances andcondi t ions; and, is normal ly accompanied by a PEP.

    CSCExcellence In Risk Management

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    Precision and accuracy are separate variables in the Cost Est imate

    Precision Accuracy

    Precis ion is the abi l i ty to reprod uce a resul t ;

    Acc uracy is a conf idence in the abso lute resul t or outc ome.

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    The Defini t ion of Estim ate Classes

    The Study or Class 5 est imate is prepared in conju nct ion with the Design

    Basis Memorandum phase of the pro ject. At th is po int al l cr i t ical design

    alternatives have been examined and th e prel imin ary project executio n

    plan has been established. This type of estimate is defined as an estimate,

    inc ludin g con t ingency, that has a probabi l i ty of o verrun by mo re than 10%,

    1 time in 3.

    The AFE or Class 2 est imate is prepared in con junct ion with the Basic

    Engineer ing ph ase of a project. At this p oint, al l key design documents

    such as P&IDs, layouts and electrical single lines have been established.

    The project execut ion plan, con struct ion plan, and schedule have also

    been established. This type of estimate is defined as where the final cost

    of th e project wi l l be with in plus or m inus 10% of the est imated value, 80%

    of the time.

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    Class II Accuracy Class V Accuracy

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    180 200 240

    Probability

    $MM

    Base estimate plus contingency200 $MM

    P50 = 200 $MM

    P10 =180 $MM-10%

    P90 =220 $MM+10%

    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    180 200 220

    Probability

    $MM

    P50 = 200 $MM

    P10 =168 $MM-19%

    P90 =237 $MM+19%

    160 240

    Final cost wi l l be within

    +/- 10% of the est im ate, 80% of the t im e

    Est imate inc luding c ont ingenc y,

    has a prob abi l i ty of 10% overrun, 1 time in 3.

    Base estimate plus contingency200 $MM

    The defini t io n of estimate classes desc ribes the expected range of

    uncerta inty around an est imate (in assessment and simu lation th is is

    the slope of the probabi l i ty distr ibut ion)

    P90-P10 = 80%

    P67.7 crosses at 10% over estimate

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    0%

    10%

    20%

    30%

    40%

    50%

    60%

    70%

    80%

    90%

    100%

    120 160 200 240 280

    Probability

    $MM

    Base = 160 $MM

    P50 = 200 $MM

    P10 =178 $MM-9%

    P90 =222 $MM+11%

    Quant i tat ive r isk analysis calculates the prob abi l i ty distr ibut ion o f a cost outcome

    This distr ibut ion can be used to :

    1. Determine the contin gency requ ired for any con fidence level (probabi l i ty ).

    2. Compare the estimate uncertainty (slope) with o ther estimate class defini t ions .

    Slope ofClass V Estimate

    Slope ofClass 2 Estimate

    40 $MMContingencyRequired forP50 Confidence

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    A example of r isk analys is app l ied

    to a mining capi tal cos t est imate

    CSCExcellence In Risk Management

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    Materials/

    Est imate

    Variance

    TotalProject

    CAPEX

    $ 171,682k

    Indi rects

    $ 20,001k

    Mil l

    $58,387k

    Mine

    $ 53,635k

    $ 38,215k

    LevelExcavat ion

    $ 3,799k

    ShaftExcavat ion

    $5,179k

    Water

    $ 1,270k

    Roads

    The CAPEX Inf luence Diagram for a UG Mining Constru ct ion Project

    $ 11,121k

    Miscel laneous

    B id

    Rate

    Engineering

    Cost

    Variance

    Organizat ion

    Performance

    Compet ingProjects

    Labour

    Product iv i ty

    $22,088k

    Cont ingency

    @ 15%

    $ 2,592k

    Administ rat ion$ 17,409k

    EPCM

    Exchange

    Rate

    ($ 1,602k/yr)

    SustainingCapital

    Local

    Benef i tsCost

    Variance

    Subsur faceEquipment

    $ 11,621k

    $ 17,570k

    Inf rast ructure

    Used

    Equipment

    Labour

    Rate

    Scope

    Variance

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    From the probabi lis t ic simulat ion cond ucted dur ing the quant i tative r isk

    analysis, the Expected Value ou tpu t of Total CAPEX is $ 181 MM, whic h

    is $ 9 MM above the Base with co nt ingency.

    Base Expected P10 P90

    Mine CAPEX 53.6 66.6 49.1 85.7

    Mi ll CAPEX 58.4 60.6 58.3 63.5

    Infr ast ructur e 17.6 23.6 16.0 35.3

    Ind irec ts 20.0 30.5 21.6 42.1

    Con tingenc y 22.1 0.0 0.0 0.0

    Total CAPEX 172 $MM 181 $MM 151 $MM 212 $MM

    CSCExcellence In Risk Management

    Expected Value is P55 or abou t a 55% chanc e of happenin g

    P10 & P90 are each abou t a 10% chanc e of happenin g and define the

    range of this outc ome w hich is a measure of the accuracy of the est imate

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    Total CAPEX

    0

    10

    20

    30

    40

    50

    60

    70

    80

    90

    100

    0 50 100 150 200 250

    Pro

    ba

    bility

    $MM

    The Base Capit al Cos t estimate is $ 172 MM. The expected Total Capital Cost

    is $ 181 MM. In this case there is on ly a 39% chance that the project w il l

    achieve the CAPEX Base Case estim ate w ith contin gency

    Mil l Base

    58 $MM

    Mine Base

    54 $MM

    Base with

    cont ingency

    ( 172 $MM)

    EV = 181 $MM

    Mill CAPEX EV = 61 $MM

    Mine CAPEX EV = 67 $MM

    Total CAPEX EV = 181 $MM

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    -15 -10 -5 0 5 10 15 20

    Mine Unit Cost Variance - Multiplier 1 1.5

    Mine Quantities Variance - Multip lier 0.86 1.26

    Competing Projects Environment Cool Heated

    Level Excavation Scop e Variance- Multipli er 0.84 1.18

    Infrastructure Costs 0.7 2

    Execution Organizat ion Performance Excellent Poor

    Infrastructure Construct ion Durat ion - Months 7 12

    Regulatory Process Durat ion - Months 10 34

    Tailings Cost Varianc e - Multipli er 0.8 6

    Road Cost Variance -Base - 1.27 MM 2.5 7

    Subsurface Equipment Costs 1.01 1.3

    Mine Construct ion Durat ion - Months 18 28

    EPCM Cos t Varian ce -Base - 9.6 + 6.7MM 15.5% 0.12 0.14

    Community Negotiat ions & A greements Durat ion - Months 11 25

    Water Cost Varianc e -Base - 5.2 MM 4.2 7

    Total Capital Expenditure $MM

    181 $MM

    The Range in CAPEX is largely due to uncertainty in

    Mine Unit Cos t Variance, Mine Quantit ies Variance and

    Level Development Scope Variance.

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    140

    150

    160

    170

    180

    190

    Sc

    he

    du

    le

    +7

    Mine

    Cos

    ts

    +12

    MillCos

    ts

    +2

    In

    fras

    truc

    ture

    Cos

    ts

    +9

    La

    bour

    Cos

    ts

    0

    In

    direc

    tCos

    ts

    -1

    Total CAPEX

    EV = 181 $MM

    Base = 150 $MM

    $MM

    Expected increases to Con stru ct ion Costs add $ 23 MM to the

    Base CAPEX Estim ate. Schedule Impact s add $ 7 MM.

    CSCExcellence In Risk Management

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    Strategy

    Flawed Sound

    Sound

    Doomed

    from theBeginning

    A

    BotchedJob

    Flirt ing

    withDisaster

    A Pretty

    GoodChance

    CSCExcellence In Risk Management

    In absolut e terms, there

    is about a one in four

    chance of gett ing the

    right strategy paired

    with the right

    execut ion plan for the

    planned outcome

    Flawed

    .. .the idea is to get it app rox imately righ t rather than perfectly w rong...

    A planned outcom e requires a sound s trategy and a sound execut ion plan

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    Bankable Feasibility Studies for Mining Projects.things to remember.

    Accuracy and precis ion are di f ferent.Accu rate estimates are precise, bu tprecise estimates are not necessari ly accurate.

    Beware of the Halo Effect:the tendency to bel ieve and place faith thatyou r strategy and execut ion plan are sound, grou nded, etc.;

    The Delusion of Abso lute Performance:any given formu la cannot ensure

    high org anizational perform ance, etc.; The Delusion of Last ing Suc cess:endur ing su ccess is not su stainable;

    Recogn ize the Role of Uncertainty :ad just your th ink ing to accommodateuncertainty (r isk & opp ortuni ty!) and make better decis ions;

    See your Project th rough Probabi l i t ies:approach prob lems asinterlock ing internal and external pro babi l i t ies;

    Separate Inpu ts from Outcom es:act ions and outc omes are imperfect ly

    l inked. It is easy to infer that bad outcom es mu st mean somebody mademistakes, or a good o utcome must m ean somebody made good decis ions(or g ot luc ky!);

    There are more things that can go w rong rather than r ight in execut ion :determine the pro ject d r ivers, assess & quant i fy r isk and develop a r iskmanagement plan to bui ld better valued projects;

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    A Final Note.

    We often hear the phrase We have to get cost certainty or

    else) We are rarely told what the or else is, but it sounds

    pretty awful . In these circumstances, CSC takes the posit ion

    that owners, their cons ul tants and contractors to look for the

    value propos i t ion in their developm ent and cons truct ion

    pro jects. Should your pro ject go over budg et , or goes long ,

    make sure that the project achieves value in the completed

    cost . When the pro ject del ivers value that respects or jus t i f ies

    the cost , then it is a goo d pro ject.

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    Speci f ics:

    Supports Owner Organizat ionsin major project development. Group formed in 1982, over 350 project assignments in 7 countries. Extensive and varied background in Project Plann ing and Management.

    Specialt ies:

    Risk & Decis ion Analysisfor a wide range of capital Projects. Strategic & Mitig ation Plann ingfor projects using risk models. Faci l i tat ionofProject Management, Business Planning, Environmental &

    Safety Planning & Management and Team Building. Project ManagementEducat ion Workshops. Development ofContract Claimsand disputes and litigation support.

    CSC

    Excellence In Risk Management


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