Faculty of Extension, University of Alberta, Mining Optimization Laboratory Professional Development Workshop Series


Mine Planning and Design Workshop Series - Edmotnon

Software: Gemcom Gems and Whittle Gemcom
Date   View Course Outline
March 20-23, 2012 Course01 - 4 days Mine Planning Software Foundation
March 26-28, 2012 Course02 - 3 days Resource Modelling
May 1-4, 2012 Course03 - 4 days Strategic Mine Planning and Optimization (Before CIM)
May 9-11, 2012 Course04 - 3 days Open Pit Mine Design & Short-Term Planning (After CIM)

Discrete Event Simulation Workshop Series - Edmonton

Simulation Software: Arena  Arena
Date View Course Outline
April 11-13, 2012 Course01 - 3 days Foundation & Basic Simulation Modeling
April 16-18, 2012 Course02 - 3 days Intermediate Simulation Modeling & Statistical Analysis
May 29-31, 2012 Course03 - 3 days Advanced Simulation Discrete/Continuous Modeling  

Registration

Irene Ng, Program Coordinator

Email: irene.ng@ualberta.ca

Tel: +1 (780) 492-3158

Fax: +1 (780) 492-0627

Use online checkout or call the registration office at +1 (780) 492-3116

Faculty of Extension's Registration Website

Download Workshops' Brochure

Register

 

Mine Planning and Design Workshop Series

 

Software: Gemcom Gems and Whittle

Designed for mining professionals who wish to update their theoretical and practical knowledge in drillhole databases, geological modeling, resource modeling, optimization, strategic mine planning, short-term planning, and open pit mine design. The course complements the theory with comprehensive instructions and hands-on computer labs using Gemcom Software.

On completion of this series, you will have an in depth understanding of fundamental principles of open pit mine planning and design, which you will then be able to apply using modern mine planning software. The objectives are met through lectures, tutoring, and undertaking a mine design project. The project starts with drillhole data and covers all the steps required to a complete open pit mine design and a short-term mine plan.

Topics covered in the workshops include:

Working with Drillholes and Data Manipulation

• Drillhole Compositing

• Geology – Surface Modeling

• Geology – Solid Modeling

• Block Modeling & Interpolation Techniques

• Pit Limits Optimization

• Life-of-Mine Production Scheduling

• Introduction to Mathematical Optimization and Modeling in Mining

• Cut-off Optimization & Stockpiling

• Multi-Pit Optimization 

• Managing Risk and Uncertainty in Mine Planning

• Open Pit Mine and Dump Design

• Polygons and Cut Evaluation

• Short-Term Production Scheduling

 

Discrete Event Simulation Workshop Series

 

Simulation Software: Arena - Rockwell Automation

Fundamentals of Discrete Event Simulation (DES) modeling and its industrial applications are presented. Theoretical and statistical aspects of simulation, including input and output analysis, experimental design, and variance reduction techniques are presented. Arena Simulation Environment (Rockwell Automation) is used as the primary modeling simulation tool for explaining simulation concepts. The course is intended for all engineering disciplines and participants who would like to use simulation to design and optimize real-world systems, but most of the computer labs and instructions are specifically tailored for mining applications.

On completion of this series, you will have an in depth understanding of principles and methodologies, of discrete event simulation. A series of labs using Arena Simulation Software are undertaken to model and optimize real world systems. Students undertake a complete simulation modeling/analysis project in parallel to the labs.

Topics covered in the workshops include:

Probability and Statistics Review

A Guided Tour through Arena

Creating and Disposing of Entities

Defining Variables and Attributes

Capacity constraining – Resources and Queues

Failures and Schedules

Animation Concepts and Terminology

Lower Level Modeling, Loops, and Sub-models

Batch, Separate, Match, Station and Route

Transporters and Materials Handling

Debugging Techniques

Modeling Input & Output Data and Statistical Analysis

Simulation with Discrete/Continuous Models

Experimental Design