Canadian Institute of Mining, Metallurgy and Petroleum

2008 CIM, SME, AusIMM, SAIMM and McGill
Professional Development Seminar Series

Strategic Risk Quantification and Management for Ore Reserves and Mine Planning

For registration and information please contact:

Deborah Frankland
Department of Mining and Materials Engineering, McGill University
Frank Dawson Adams Building, Room 123A
3450 University Steet
Montreal, Quebec, H3A 2A7
Canada

Tel.: (514) 398-4755, ext. 089638
Fax: (514) 398-7099
E-mail: admcrc.mining@mcgill.ca

APPLIED RISK ASSESSMENT FOR ORE RESERVES AND MINE PLANNING:
Conditional Simulation for the Mining Industry

2008 Professional Development Seminar Series
DATE: To be determined

TIME: 9:00 AM to 5:00 PM

INSTRUCTOR: Roussos Dimitrakopoulos, McGill University, Canada

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:

Understand how to quantify and deal with grade/tonnage/metal uncertainty and variability
Learn about new efficient simulation methods for modelling orebodies and how to use the results
Understand how use quantified orebody risk in ore reserve estimation, mine planning and mineral project valuation
Work with industry examples at different stages of a mining project
Participate in hands-on computer workshops using real case studies

It is strongly recommended that participants bring a laptop.

GEOSTATISTICAL MINERAL RESOURCE/ORE RESERVE ESTIMATION AND MEETING THE NEW REGULATORY
ENVIRONMENT: Step by Step from Sampling to Grade Control

>> CLICK HERE FOR DETAILS AND REGISTRATION
2008 Professional Development Seminar Series
DATE: September 15 - 19, 2008

TIME: 9:00 AM to 5:00 PM

INSTRUCTORS: Michel Dagbert, Geostat Systems International, Canada; Jean Michel Rendu, Consultant, USA; and Roussos Dimitrakopoulos, McGill University, Canada

CONTENT & OBJECTIVES:

From government or a company decision-maker’s 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 NI43-101, SEC Industry Guide 7, and 2007 SME Guide

It is strongly recommended that participants bring a laptop.

STRATEGIC RISK MANAGEMENT AND APPLIED OPTIMIZATION IN MINE DESIGN

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2008 Professional Development Seminar Series
DATE: September 23 - 26, 2008

TIME: 9:00 AM to 5:00 PM

INSTRUCTORS: Cindy Campbell, Gemcom Australia Pty, Ltd., Australia; Roussos Dimitrakopoulos, McGill University, Canada

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)

It is strongly recommended that participants bring a laptop.

QUANTITATIVE MINERAL RESOURCE ASSESSMENTS:
Exploration Risk Analysis for Strategic Planning

Rescheduled for Spring 2009

INSTRUCTOR: Don Singer, US Geological Survey, USA; David Menzie, US Geological Survey, USA

CONTENT & OBJECTIVES:

This course has an integrated approach to quantitative assessment so that uncertainties and risks can be recognized and addressed where possible.

You will learn to:

Identify the sources and magnitudes of risk and uncertainty in assessments of undiscovered mineral resources
Demonstrate how operational mineral deposit models can reduce uncertainties.
Show how to construct internally consistent models.
Guide the delineation of permissive tracts using the models.
Demonstrate how to ensure that the grade and tonnage models are appropriate.
Make estimates of the number of undiscovered deposits.
Integrate the information and examine the economic possibilities.

It is strongly recommended that participants bring a laptop.

THEORY AND PRACTICE OF SAMPLING PARTICULATE MATERIALS - PARTS 1 & 2

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PART 1
2008 Professional Development Seminar Series
DATE: October 27 - 29, 2008

TIME: 9:00 AM to 5:00 PM

INSTRUCTOR: Dominique François-Bongarçon, AGORATEK, USA
CONTENT & OBJECTIVES:

This course is for professionals involved in making decisions regarding a mining project at the exploration or production phases, whether in the geology, mining, metallurgy or geochemistry fields. You should attend this course if you are a manager of operations or technical services in a mining company, an exploration geologist, a mine geologist, a mining engineer, an ore grade control engineer, a geostatistician, a project manager, a metallurgist, and a laboratory manager or operator.

You will learn:

Eye-opening facts about the consequences of bad sampling and the difficulties of good sampling
The unsuspected amplitude of economic ramifications of poor sampling
To control how samples are taken to achieve the highest degree of representativeness
To control sample mass requirements, and avoid errors in sampling and sample preparation protocols
How to eliminate unfavorable factors
How to identify those unfavorable factors that cannot be eliminated, but should be minimized
The meaning and significance of the actors used in sample variance numerical control formulas
Tools available for the best experimental customization of control parameters for your mineralization type
What can and what cannot be achieved with sampling experiments
The general philosophy that underlines the practice of 'good sampling' and the modeling of sampling parameters
How to audit sampling equipment and procedures
How to tackle seemingly untreatable sampling problems
The difference between sampling and interpolation

It is strongly recommended that participants bring a laptop.

PART 2 - QA-QC, MINE, AND PROJECT AUDITS

DATE: October 30 - 31, 2008

TIME: 9:00 AM to 5:00 PM

INSTRUCTOR: Dominique François-Bongarçon, AGORATEK, USA
CONTENT & OBJECTIVES:

This course is for all professionals involved in, or contributing to grade-based decisions regarding a mining project at the exploration or production phases, whether in the geology, mining, metallurgy or geochemistry fields, and particularly those persons responsible for the consequences that can derive from the use of assay data.

You will learn:

Consequences of not conducting a proper and complete, independent (i.e. external) QA-QC program.
The best, proven techniques to use to analyze the corresponding data
The errors to avoid
The benefits of such programs
The problem of proper use and certification of reference material will be analyzed at depth.

It is strongly recommended that participants bring a laptop.

MINERAL PROJECT EVALUATION TECHNIQUES AND APPLICATIONS:
From Conventional Methods to Real Options

>> CLICK HERE FOR DETAILS AND REGISTRATION
2008 Professional Development Seminar Series
DATE: November 10 - 13, 2008

TIME: 9:00 AM to 5:00 PM

INSTRUCTOR: Michel Bilodeau, McGill University, Canada

CONTENT & OBJECTIVES:
This four-day course you will learn 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 focuses on:

Economic/financial evaluation techniques
the application of these techniques to the analysis of issues associated with mineral project.

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 COMPUTER and a scientific/financial pocket CALCULATOR is desirable.