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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.
CSCExcellence In Risk Management
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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
CSCExcellence In Risk Management
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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
CSCExcellence In Risk Management
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A example of r isk analys is app l ied
to a mining capi tal cos t est imate
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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
CSCExcellence In Risk Management
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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