michael o’connor senior mining solution...
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5 Implementing a Strategic Plan
Michael O’ConnorSenior Mining Solution Consultant
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Strategic Mine Planning – Whittle SIMO outputs
Strategic v Tactical
Understanding deviations
Measuring Success
Case Study – SIMO outputs, MineSched Inputs
Agenda
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Strategic Mine Planning – Whittle SIMO outputs
Strategic v Tactical
Understanding deviations
Measuring Success
Case Study – SIMO outputs, MineSched Inputs
Agenda
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IntroductionMichael (Cy) O’Connor – Senior Mining ConsultantMining since 19873rd generation minerDesign UG/SurfacePlanning UG/SurfaceEngineering/Planning/Software consultant
MineSched since 2005 Dassault Systèmes GEOVIA +10years
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015 More than just pit shells
Whittle SIMO outputs
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015 Reports
SIMO outputs
McLaughlin_Strat_to_Tact\Whittle\3_schedule_output\FXPE__63_SimoReport_Yearly_Full.xlsb
McLaughlin_Strat_to_Tact\Whittle\3_schedule_output\SIMO Report Yearly Short.xlsx
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Strategic
Also commonly referred to as Linear optimization A heuristic technique, is any approach to problem solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals.
Tactical
Mixed Linear programming - SIMO Heuristic programming
Linear programming is a method to achieve the best outcome (such as maximum profit or lowest cost) in a mathematical model whose requirements are represented by linear relationships.
Linear programming is the process of taking various linear inequalities relating to some situation, and finding the "best" value obtainable under those conditions.
pertaining to or based on experimentation, evaluation, or trial-and-error methods
learn, discover, or solve problems on his or her own, as by experimenting, evaluating possible answers or solutions, or by trial and error
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TacticalMay not find a solution at allMore time consuming to find solution, trial and error Holes in mill feed (VRA, SR, mining sequence) Not enough ROM or stockpile capacity First solution found so may be much lower value result Time consuming trial and error approach for defining strategies such as
stockpiles, sequence, direction, blend and COGWhen an input changes, very time consuming and no clear path to find next
solution
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Whittle Outputs
Number of stockpiles
outputs
inputsMaximum capacity of stockpiles
Bench Drop Bench Drop Bench Drop
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Strategic vs Tactical – TerminologyStrategic Mine Planner Tactical Mine Planner
Cut-off grade strategy, grade ranges for stockpiles Material class
Cutback or Pit Order, Mining Direction Locations, Precedences or Spatial Relationships
Block sequence Production Rates, Material Movement
Stockpile strategy Material Movement, ParametersWhen and how much to re-handle from stockpiles to Plant Material Movement, Target Parameters
Limiting Vertical Rate of Advance (VRA), Bench drop Parameters
Minimum mining widths Locations & Precedence parameters,
Mining limit Production Rates
Blending Material movement, Targets
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5 Understanding Deviations
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015 Grouping of the blocks with similar grade into one bin
Strategic Schedule units: Panels and Bins
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015 Results – Period 8
Whittle v MineSched
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Pit Design
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Pit Design
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Measuring Success
Compliance to plan
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015 Sequencing v Targeting
Discussion point - case study results
0 1 2 3 4 5 6 7 8 9 10 11 12 13
nsr_
rec (
$/t)
Year
Order of magnitude test
StrategicTactical
Using Whittle shells & following the optimized sequence in MineSched
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Discussion point - case study results
Using practical pit designs & targeting in MineSched
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
nsr_
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$/t)
Year
Targeting Test
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015 Sequencing v Targeting
Discussion point - case study results
Using practical pit designs & following the optimized sequence in MineSched
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14
nsr_
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$/t)
Year
NSR Strategic to Tactical Comparison
StrategicTactical
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Qualities – Import Mining Costs
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User calculations – Used to calculate and report value
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Custom Report
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Case Study
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Au, g/t
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72.8 3
0
5
10
15
20
25
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0.5 – 1 1 ‐ 1.5 1.5 – 2 > 2 Au grade, g/t
Tonn
age M
t
Grade/Tonnage Distribution
Case Study Example – SIMO
40Mt above 0.5g/t @1g/t average grade
Block size 7.5 x 7.5 x 62.14 Mln blocksAu grade only
http://mansci-web.uai.cl/minelib/
Mining cost $1.32/tProcessing cost $19/tProcessing Recovery 90%Au price $1300/ozDisc. Rate 15%
Slope angle 45 degreesMill capacity 3.3 Mt/yearVertical Advance Rate 8 benchesStockpile Rehandling Cost $0.5/t
Study Inputs:
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Pit Optimisation and Pushback selection
Or import Pit Design stages to Whittle
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Material ClassesMaterial definition & cut-off grade implementation, grade ranges for stockpiles
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Production RatesBlock sequence, cut back or pit order
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LocationsProcess Rates
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ParametersMaximum bench drop, minimum mining width, practical constraints
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Material MovementBlending, re-handle stockpile to plant
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Results
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Mined SequenceWhittle
MineSched
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Input MillWhittle
MineSched
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Results The previous 2 slides show the Mined Sequence and Mill Input are correct,
however the grade profile needs more work. This is directly related to:Mining directionBlock sizeLAGSProduction parametersRe-handle
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Final thought
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