Robust Strategic Mine Planning Optimization
Two Courses
MINP 101: Strategic Mine Planning and optimization - Whittle Core
MINP 102: Advanced Strategic Mine Planning - Whittle & Simulia Isight
Who Should Attend
The Strategic Mine Planning
and Optimization course is a comprehensive eight-day
training split over two courses, designed for mining and
resource industry professionals including directors, project
managers, mine planners, mining engineers, geoscientists,
geologists, managers, metallurgists, financial analyst, and
decision makers from exploration to operations. It is
ideally suited to those from industry who wish to gain a
more in depth and hands-on knowledge of modern strategic
mine planning and optimization software tools and theory.
Course Description
Software: GEOVIA Whittle & Simulia isight
Strategic mine planning optimization process is the backbone of mining operations. In mining projects, deviations from optimal mine plans will result in significant financial losses, future financial liabilities, delayed reclamation, and resource sterilization. The life-of-mine production schedule determines the order of extraction of materials and their destination over the mine-life. In this course, principles and fundamental concepts involved in strategic mine planning and optimization are presented. Subjects covered are block value calculations; mining revenues and costs; open pit limit optimization using manual method, floating cone, and 2D & 3D Lerchs and Grossmann algorithms; Pseudo Flow algorithm, life-of-mine production planning; mine-life estimation; cut-off grade optimization and Lane’s theory; simultaneous optimization; multi-mine multi-process production scheduling, and an approach to managing grade uncertainty. Mathematical optimization models and case studies for long-term open pit mine planning will be presented. Blending problem formulations are setup and solved in Excel Solver. The course complements theory with comprehensive instructions and hands-on experience completing a project using GEOVIA Whittle strategic mine planning software a trusted name in mine planning. Comparative analysis of different production scenarios, stockpiling, cutoff optimization, SIMO, multi-mine and their impacts on the bottom line of the mining business is illustrated.
Integration of SIMULIA Isight with GEOVIA Whittle allow mine planners to run hundreds of scenarios within one project in a short period of time. Isight is a Process Integration and Design Optimization (PIDO) software framework, which enables various applications to be easily integrated. With Isight you can create flexible simulation process flows to automate the exploration of design alternatives and identification of optimal performance parameters. This course comprehensively covers the Design and Runtime Gateways along with several fundamental components, exposing users to the ways in which a workflow can be built in Isight and the ways in which the design space can be explored. We present an approach on how to quantify and manage geological and grade uncertainty using Whittle and Isight. The course complements theory with comprehensive instructions and hands-on experience completing two projects using GEOVIA Whittle strategic mine planning software and SIMULIA Isight process automation tool. Comparative analysis of different production scenarios, stockpiling, cutoff optimization, SIMO, multi-mine and their impacts on the bottom line of the mining business is illustrated. Participants carry out strategic planning of iron ore, gold-copper, and polymetallic (zinc, lead, silver, copper) case studies.
Outcomes of the course include:
• How optimization improves economic performance
• Complete a strategic mine planning study in Whittle
• What costs should be included in pit optimization
• Principles of Lerchs & Grossman 3D algorithm
• Principles of Pseudo Flow algorithm
• Pit limits optimization with practical push-backs
• Generate optimal shells, reports and schedules
• Push-back design with a minimum mining width
• Production scheduling – using contractors
• Advanced mining direction control – Oil Sands, Coal
• Buffer Stockpiles and Extractive Blending
• Understand cut-off optimization & Lane’s Theory
• Advanced simultaneous optimization (SIMO)
• Calculate sensitivities to develop risk reduction strategy
• New feature of CAPEX optimization
• Multi-mine multi-process scheduling
• Managing the risk associated with grade uncertainty
• Understand the potential value of the deposit.
• Target areas for future drilling
• Quantify the Impact of grade uncertainty on scheduling
• Case studies – Iron Ore; Gold-Copper, and Oil Sands
• Calculate sensitivities to develop risk reduction strategies
• Understand and execute Sim-flow in Isight
• Visualize Sim-flow results
• Evaluate design alternatives
• Create Sim-flow to capture a process, by integrating
• Use various techniques such as DOE and Monte Carlo etc. in Isight
• Robust strategic mine planning - Simulia Isight
• Managing the risk associated with grade uncertainty
• Quantify the Impact of geological uncertainty on production scheduling
• Managing the risk associated with grade uncertainty
• Surface and underground transition
Day 1
Module 1: Pit Limits Optimization
• Introduction to Strategic Mine Planning &
Optimization
• Pit Limits- Floating Cone, 2D & 3D Lerchs &
Grossman
• Pseudo Flow algorithm • Block Value Calculations
• What Costs to Include in Pit Optimization?
• Project data exploration and field campaign – Iron Ore
• Project cost calculation
o Waste and ore mining costs
o Ore processing costs and
recoveries
o General and administrative
costs
• Whittle Lab01 - Open Pit Limit Optimization
o Grade-tonnage curve and
Reblocking node
o Slope set node and Pit
Shells node
o Choose 3D LG or Pseudo Flow
algorithm
o Operational scenario node
and Revenue factors
o Ore selection discussion
and Pit by pit graph
o Compressed revenue factors
o Schedule graph and bench
schedules
o Block size and SMU
o Skin analysis
Day 2
Module 2: Life-of-Mine Production Scheduling
• Production Scheduling Concepts • Whittle Lab02 - Long-Term Production Scheduling
o Schedule graph and bench schedules
o Mine-life estimation and Sharing time related costs
o Push back chooser
o Milawa NPV and Milawa Balanced algorithms
o Push-backs with minimum mining width
o Benchmark schedules and optimized schedules
o Implementing and evaluating mining direction
o Sensitivity analysis using spider graph
• Whittle Lab03 - Practical Push Backs – NPV
o Mining with contractors
o Fixed and variable lead and lag
o Interim push-back design
o The impact of Geo-metallurgy/ore hardness
o Truck hours constraint
• Whittle Exercise 1 – Gold-Copper Deposit – Pit Optimization
Day 3
Module 3: Direction Control and Blending
• Whittle Lab04 – Control Mining Direction and Pre-stripping
o Mining Direction Control
o Oils Sands deposit exercise
o Pre-stripping
• Whittle Lab05 – Buffer Stockpiles
o Multi-element stockpiles, low, medium, and high grade
o Rehandling cost calculations
o Stockpile cut-offs
• Whittle Lab06 – Extractive and Bulk Blending
o Blending stockpiles
o Blending bins (manual and automatic)
o Blending to control head-grade
o Concept of blend bins
o Control the head-grade by blending constraints
o Using CPLEX engine
• Whittle Exercise 2 – Gold- Copper Deposit – Scheduling
• Whittle Exercise 3 – Blending & Stockpiling
Day 4
Module 4: Cut-off Grade Optimization & Stockpiling
• Cut-off Optimization - Lane’s Theory o Cut-off Optimization – Maximizing Profit
o Cut-off Optimization – Maximizing NPV
• Whittle Lab07 - Cutoff Grade Optimization Step by Step
o Mining, mill, and market limited cut-offs
o Cut-off optimization to balance mining and processing
o Cut-off optimization to balance mining and market
o Cut-off optimization to balance processing and market
• Cut-off Optimization – Maximizing NPV
o Maximize the difference between present values of the remaining reserves
o Concept of increments in cut-off optimization
o Compaction of grades, tonnage, and increments
o Defining grade ranges for strategic stockpiles
o Multi-element stockpiles
o Use of Profit mode in cut-off optimization
• Revisit: how to decide on ore selection methods
• Section A: Cut-offs
o Ore Selection by Cut-off and Cut-off Calculation
o The Formula for a Cut-over
o Multiple Processing Methods
o Cut-offs with Multiple Elements
o Ranked Cut-offs
o Cut-offs, Cut-overs, and Cut-off Scaling
• Other methods: Cash-Flows, Value Mode, Profit Mode.
Day 5
Module 5: Introduction to Design of Experiments
• What is Isight?
• The Design gateway
• The
Runtime gateway
• Using
post-processing tools
• Accessing
the design gateway
• Adding
an Excel component to the sim process flow
• Adding
a loop component to the model
• Configuring
the executable
• Publishing
a component
• Automate
a series of functions to create a sim-flow
• Add
components to a sim-flow
• Set
up the core component
• Configure
components to pass data to/from each other
• Execute
a Sim-flow
• Visualize
Sim-flow results
• Evaluate
design alternatives
• Handling
files in Isight
o Configuring file
parameters
o Isight results database
• Create
a Sim-flow to capture a process
• How to control
highly variable input parameters into projects
• Integrate GEOVIA’s
Whittle SIMO with SIMULIA’s optimization toolbox
• Assure stability of
results using controllable variables against uncertain
environmental variables
• Controllable
variables
o Push-back selection
o Mining direction
o Mill capacity
o Mining capacity
• Environmental
variables
o Commodity price
o Mining
costs
o Recoveries
o Processing costs
o Slope stability
o Resources
• Determine
robust & optimal values for numerous schedules
• Whittle SIMO –
Final optimization of schedule using output of Isight
Analysis
• Production scale
that reacts well to changing parameters.
Day 6
Module 6: Managing Risk and Grade Uncertainty
• Use command line for process automation and simulation • Reduce design cycle time through integrating workflow
• Establishing a final pit-shell under grade uncertainty
• Equi-probable realizations of grade within the orebody
• Optimal pit for Krig, E-type, and P90 & P10 realizations
• Impact of grade uncertainty on the final pit limit
• Quantifying the Impact of grade uncertainty on scheduling
• Whittle Lab09 – Final pit with grade uncertainty
• Grade and Geological uncertainty
• Use Isight and windows command line for process automation and simulation
• Reduce design cycle time through integrating workflow
• Establishing a final pit-shell under grade uncertainty
• Equi-probable realizations of grade within the orebody
• Optimal pit for Krig, E-type models
• Optimal pit for P90 & P10 realizations
• Impact of grade uncertainty on the final pit limit
• Quantifying the Impact of grade uncertainty on scheduling
• Final pit limit in the presence of grade uncertainty
Day 7
Module 7: Simultaneous Optimization (SIMO)
• Introduction to simultaneous optimization • Integrating scheduling, blending, stockpiling, and cutoff
• Advanced optimization control
o Optimization tab
o Blend bins tab
o Manual versus automatic bins
o Stockpiles tab
o Comparative analysis of value generated by SIMO
• Whittle Lab08 – Simultaneous Optimization
o CAPEX Optimization process
o Purchase additional mining and processing capacity
o Use period validation to control additional limits
o Simultaneous Reporting – report CAPEX limits and costs
Day 8
Module 8: Multi-Mine Multi-Process Optimization
• Introduction multi-mine multi-process optimization
• Whittle Lab10 – Iron Ore Multi-Mine Project
o Merging multiple block models in one project
o Mining limits applied to multiple mines
o Mining limits on individual mines
o Multi-process dry and wet separation
o Multiple/alternative processing streams
o Multiple/alternative products
o A complex mine logistics example
o Lessons learnt from optimizing multi-mine
• Introduction multi-mine multi-process optimization
• Creating a Multi-Mine Model
• Merging multiple block models in one project
• Mining limits applied to multiple mines
• Advanced mine scheduling
• Mining limits on individual mines
• Prioritize sequence of mines
• Prioritize sequence of mines
• Multi-mine multi-process optimization
• Dry and wet separation streams processes
• Complex processing methods
o Separation
o Element extraction different stages
o Different selling costs
• Redirect ore to processes that are not full
• Multiple/alternative processing streams
• Multiple/alternative products
• A complex mine logistics example
• Manipulate the multi-pit sequences
• Maximize NPV by multi-process profit mode
• Lessons learnt from optimizing multi-mine
• Wrap up and conclusion for the course