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» 2011 Seminar Series
2012 CIM, SME, AusIMM, SAIMM and McGill
Professional Development Seminar Series
Professional Development Seminar Series / Strategic Risk Quantification and Management for Ore Reserves and Mine Planning
2012 SEMINAR SERIES PROGRAM - Click a course for quick access
For more information please contact:
Deborah Frankland
Department of Mining and Materials Engineering, McGill University
Frank Dawson Adams Building, Room 123A
3450 University Street
Montreal, Quebec
H3A 2A7, Canada
Tel.: (514) 398-4755, ext. 089638
Fax: (514) 398-7099
E-mail: admcrc.mining@mcgill.ca
Website: http://cosmo.mcgill.ca
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An Introduction to Cutoff Grades Estimation: Theory and Practice in Open Pit and Underground Mines
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DATE: September 5-7, 2012
TIME: 9:00 am to 5:00 pm
PLACE: Montreal, Canada
INSTRUCTOR: Jean-Michel Rendu, Newmont Mining Corporation, USA
REGISTRATION: Available shortly...
CONTENT & OBJECTIVES:
This course will show how direct and indirect costs, opportunity costs imposed by operational constraints, and other factors, such as political risk, legal, environmental, and regulatory requirements, must be taken into account.
The course’s focus:
Mathematical equations are developed and graphical analytical methods are displayed, which can be used to solve most cutoff grade estimation problems. It is shown how minimum cutoff grades are estimated and how they must be modified to take into account constraints imposed by mine or mill capacity, or by limits on sales volumes.
Multiple practical examples are given, illustrating the role of cutoff grades in mine planning, in allocating material to different processes, in optimizing mill operating conditions, and in poly-metallic deposits.
Examples also show the relationship between cutoff grades and the design of pushbacks in open pit mines, the development of new stopes in underground selective mining, and the optimization of block sizes in caving methods.
The relationship between mine selectivity, deposit modeling, ore control and cutoff grade is also discussed. Included in the course of registration is a copy of the instructor’s book "An Introduction to Cutoff Grade Estimation".
Please note:
It is strongly recommended that participants bring a laptop.
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Geostatistical Mineral Resource/Ore Reserve Estimation & Meeting the New Regulatory Environment:
Step by Step from Sampling to Grade Control
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DATE: September 10-14, 2012
TIME: 9:00 am to 5:00 pm
PLACE: Montreal, Canada
INSTRUCTORS:
- Marcelo Godoy, Golder Associates, Chile
- Jean Michel Rendu, Newmont Mining Corporation, USA
- Roussos Dimitrakopoulos, McGill University, Canada
REGISTRATION: Available shortly...
CONTENT & OBJECTIVES:
From government or a company decision-makers perspective, exploration and/or development decision will be made, typically in a fixed timeframe, and uncertainty is to be expected – the real question is how well informed will the decision-maker be before the decision?
Quantitative mineral resources assessments (called QRA) are designed to provide government and industry decision-maker.
You will learn to:
- Demonstrate how standard statistical techniques help solve problems of sample reliability
- Understand when and how geostatistics can improve resource estimates
- Apply geostatistics to predict dilution and adapt reserve estimates to that predicted dilution
- Learn how geostatistics can help you categorize your resources in an objective manner
- Demystify conditional simulation and show how it addresses all the above problems
- Understand principles of NI 43-101, SEC Industry Guide 7, and 2007 SME Guide
Please note:
It is strongly recommended that participants bring a laptop.
No previous exposure to statistics and geostatistics is required.
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Strategic Risk Management in Mine Design: From Life-of-Mine to Global Optimization
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DATE: To be determined
PLACE: Toronto, Canada
INSTRUCTORS:
- Gelson Batista, MPX, Brazil
- Roussos Dimitrakopoulos, McGill University, Canada
REGISTRATION: Available shortly...
CONTENT & OBJECTIVES:
This three-day course presents a new generation of applied conditional simulation technologies for assessing orebody uncertainty and effects on risk analysis and cash flow considerations.
Emphasis is placed on the downstream applications pertinent to the feasibility, design, development, and planning stages of mining ventures, as well as in the financial optimization of relevant aspects of operations and production.
New public domain software with graphic capabilities is introduced and provided to participants.
Participants will:
- Learn how you can have a significant, positive impact on your company’s bottom line by utilizing strategic mine planning methodologies and software
- Improve your understanding of strategic mine planning and life-of-mine optimization concepts
- Learn a structured approach to strategic mine planning, including a decision-making behaviour and strategy mapping model
- See how Lerchs-Grossman, lane cut-offs, and linear programming can fit into a standard model for optimization. Learn how to apply this standard model to the analysis and understanding of any optimization case
- Find out how to correctly model prices and costs, to properly represent reality, and to drive your optimization tools effectively
- Discover the latest developments in life-of-mine optimization, including new models for blending, pit optimization for simulated models, and ore-waste discrimination
- Improve your understanding of the relationship of uncertainty and risk, and learn how to exploit uncertainty in order to maximize profitability
- Get hands-on experience with strategic mine planning software (Whittle)
- Learn the basics of pit optimization (applied to a straightforward base-metals model)
Please note:
It is strongly recommended that participants bring a laptop.
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Mineral Project Evaluation Techniques & Applications: From Conventional Methods to Real Options
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DATE: October 22-25, 2012
TIME: 9:00 am to 5:00 pm
PLACE: Montreal, Canada
INSTRUCTOR: Michel Bilodeau, McGill University, Canada
REGISTRATION: Available shortly...
CONTENT & OBJECTIVES:
This four-day course presents the basics of economic/financial evaluation techniques, as well as the practical implementation of these techniques to mineral project assessment.
Participants will:
- Gain a practical understanding of economic/financial evaluation principles
- Develop the skills necessary to apply these principles to support mineral project decisions
- Learn about the real options approach to valuing mining projects
The course’s focus:
- Economic/financial evaluation techniques
- The application of these techniques to the analysis of issues associated with mineral projects.
Please note:
No previous background in economic/financial analysis is required, but some practical experience in the mineral industry and familiarity with mining terminology is desirable.
A laptop may be helpful but is not essential.
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NEW! – Certification in Ore Reserve Risk and Mine Planning Optimization
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DATES:
- Starts May, 2012
- Week 1 - May 14-18, Montreal, Canada;
- Week 2 - June 4-8, Montreal, Canada
- Week 3 - July 9-13, Montreal, Canada
- Week 4 - August 27-30, Montreal, Canada
TIME: 9:00 am to 5:00 pm
PLACE: Montreal, Canada
INSTRUCTOR: Roussos Dimitrakopoulos, McGill University, Canada
REGISTRATION: Available shortly...
CONTENT & OBJECTIVES:
Spread over a period of four months, this four-week course is designed for busy mining professionals who wish to update their skills and knowledge base in modern modelling techniques for orebodies and new risk-based optimization methodologies for strategic mine planning.
Students will have the opportunity to gain practical experience by applying hands-on the concepts and technical methods covered in class. Topics covered include:
- Methods for modelling orebodies
- Optimization techniques
- Advancing from conventional orebody modelling: Case studies and models of geological uncertainty
- Geological uncertainty linked to mine planning
- Moving forward from traditional optimization: Case studies in mine planning with risk management - integration of geological uncertainty
- Geological risk management and demand-driven production scheduling.
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