$2,650.00–$3,000.00 + GST
This 2-day course solves one of the great paradoxes of project evaluation – how to do more with less information!
During the early stage of a mining project, drillholes invariably sit on a relatively large grid, which is generally sufficient for estimating tonnes and grades into large blocks whose dimensions reasonably conform to the drill spacing. However, such drill spacing is insufficient for the estimation of the recoverable resources required to properly assess mining projects at the stage of selective mining, yet an evaluation of the likelihood of production is required.
There are a number of geostatistical and estimation techniques that allow us to assess the recoverable resources for project valuation when the relative drill spacing does not provide sufficient coverage for the direct estimation into small blocks or selective mining units (SMU) required at the production stage.
This practical course will help you become familiar with how to estimate recoverable resources – learn all the tips and tricks, how to identify pitfalls and learn best practice.
This course has been designed for: resource, exploration and evaluation geologists responsible for producing orebody models for project evaluation or planning, and mining engineers who need to optimise and schedule these deposits.
- The problem of recoverable resources
- The pitfalls of estimating into small blocks. Understanding the limitation of conventional techniques for assessing recoverable resources
- A thorough review of change of support and its importance for assessing recoverable resources
- An overview of recoverable resource techniques, their advantages and drawbacks
- Step by step assessment of recoverable resources using uniform conditioning, plus practical implementation
- Localising UC estimates for mine planning
During the course you will:
- Understand why we need to estimate recoverable resources
- Cover the key areas of non-linear geostatistics and change of support
- Understand the theory and practice of uniform conditioning (UC) and alternative approaches
- Become totally familiar with carrying out an UC estimate of recoverable resources
- Identify pitfalls and understand best practices when using UC
- Work on practical examples, tips and tricks on estimation of recoverable reserves
- Understand the impact of the information effect on recoverable resource estimates
- Understand how to adapt recoverable resources for mine planning (Local UC)
Please see below for more details about the course and the presenter.
We offer a 5% discount if you register for two or more courses or register more than one person for a single course, OR a 15% discount for AusIMM members.
AusIMM member coupon code: ausimm – You can enter the coupon code when you view your cart/basket. Your AusIMM membership must be current for you to use the coupon code.
Payments are made via the SecurePay payment gateway which accepts Visa and Mastercard only. All prices are in Australian Dollars. Training held in Australia incurs GST.
You can add the names of additional attendees at the checkout.
Ian Glacken BSc (Hons), MSc (Min. Geol), MSc (Geostatistics), FAusIMM(CP), CEng, FAIG
Ian is a geologist with postgraduate qualifications in geostatistics, mining geology and computing who has more than 30 years’ worldwide experience in the mining industry. He has worked on mineral projects and given training courses to thousands of attendees on every continent apart from Antarctica. Ian’s skills are in resource evaluation and due diligence reviews, public reporting, training and mentoring, quantitative risk assessment, strategic advice, geostatistics, reconciliation, project management, statutory and competent persons’ reporting and mining geology studies. Ian has a strong mining production background and is a regular auditor for the world’s largest mining companies.
Resource, exploration or evaluation geologists responsible for producing orebody models for project evaluation or planning, and mining engineers who need to optimise and schedule these deposits.
“All explained well.”
“Recoverable resources was explained very well. That is: how do you go from a large ‘panel’ size estimate based on limited data to small ‘smu’ blocks without incurring the problem of over-smoothing or conditional bias.”
“Very informative and great course. I will recommend to others.”
Professional Development Rating
This course has been awarded a 16 PD hours rating by both the AIG and the AusIMM.
What you need to bring. What we provide.
Please bring your laptop to the course with Microsoft Office installed.
Optiro will provide course reference notes, morning and afternoon refreshments and lunch.
All attendees receive a Certificate of Attendance.
This course is also available as either On-site or On-line training.
Please contact Diana Titren, Training Manager, by email or phone +61 8 9215 0000 for more information.