Short Courses

Using Automated Sensitivity Analysis Tool for Open Pit Deposits 

HALF DAY AM – October 1 | 08:00 – 12:00  

Short Course Abstract:
This ½ day course is intended for resource geologists, managers, and open pit engineers working on projects where there is need to compute multiple optimized pits or carry out sensitivity analysis studies. Such studies help mining practitioners identify potential risks and opportunities related to variable or uncertain commodity prices, costs, recoveries, pit slopes, etc.

Participants will get hands on experience using commercially available pit optimization software and using multiple cores will simultaneously optimize, report, and visualize pits by varying one or more parameters. 

Short Course Objectives: 
Familiarize participants with the practice of carrying out sensitivity analysis studies for open pit projects and gain hands on experience. 

Target Audience: 
Open Pit Engineers, Resource Geologists, and Managers. 

Register Now!

Facilitators:  

Maryam Sahafzadeh, SRK Consulting

Maryam Sahafzadeh, PEng Senior Mining Engineer – Maryam has over 15 years of experience in open pit mine planning and design. Maryam’s extensive knowledge includes pit optimization, strategic mine planning, mine design, and production scheduling. She has worked on projects ranging from the conceptual level to feasibility level studies across the globe. Maryam’s commodity experience includes coal, zinc, lead, gold, copper, iron ore, lithium, platinum, palladium, and polymetal. 

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Damian Gregory, Datamine Software

Damian is a Senior Mining Professional with 20+ years of engineering experience in the mining industry. Expert in Strategic Mine Planning, Resource and Reserve Evaluation, PEA, Pre-Feasibility and Feasibility Studies, Trade off Studies, and Due Dilligence Studies for both open pit and underground deposits. 

Registered Professional Engineer (P.Eng.) in Ontario, Canada with broad consulting experience covering variety of commodities from around the world. 

Damian is a co-author of several papers related to mine planning and optimization.