Ian Glacken will be presenting our Resource Estimation and Evaluation course on the 8-12 April 2019 in Perth.
This practical 5-day course uses a real-life data set to cover the entire resource estimation and evaluation cycle and its requirements – from data collection and quality assurance through to classification.
These concepts are reinforced through a large number of practical activities, all of which focus around the same real-life data set. This training course has been drawn from industry best practice and almost thirty years of estimation experience.
The final day of the course consolidates all that you have learned by taking you step-by-step through a check-list of the resource estimation and evaluation processes, and also gives you the opportunity to bring your own data along to discuss and get advice on.
- Introduction – flow of tasks, key concepts
- Data quality – QAQC, sampling, database
- Geology – geology and resource evaluation
- Domaining and data preparation – how, why, boundaries, coding, compositing
- Statistics – central tendency, variability, good and bad data sets, declustering, cutting
- Continuity – grade continuity, modelling variograms, moving from the variogram to the estimate
- Estimation – principles, 2D/3D, polygons to kriging, how kriging works, validation
- Post-processing – why, the change of support, recoverable resources
- Classification and reporting – understanding the Codes, types of report
- Risk and uncertainty – one estimate or many, why simulation?
Course outcomes – you will:
- Understand what affects a good and a bad estimate
- Appreciate the paramount value of data and how to ensure its highest quality
- Understand and apply the principles of sampling and QAQC for quality assurance
- Know how to turn a first class geological model into correct zones for estimation
- Learn how to validate zones and their boundaries against the data and geology
- Understand the critical role of geological and grade continuity
- Cover the key geostatistical methods of grade estimation and compare these with other approaches
- Know what to do when you don’t have enough data
- Understand the many ways to validate your work and which are the best
- Appreciate the key criteria for resource classification
The course is designed for geologists and mining engineers involved in resource estimation and evaluation. We assume a reasonable knowledge of geology and familiarity with mathematical concepts, but you do not need to know any geostatistics or matrix algebra!
Professional Development Hours
The Optiro Resource Estimation and Evaluation course has a 40PD HOURS rating from both the AusIMM and AIG.
“Thanks again for the course, I learnt so much. I am already applying what I learnt and feel so much more capable.”
“The course was really useful” “This was an excellent info and refresher on resource evaluation”
“The course was presented in an easy straightforward manner”
“Good structured explanation of core topics – particularly grade continuity and linear estimation”
“Very informative course, well presented – thumbs up”
“I really enjoyed having this course with Optiro – I’m looking forward to attending more courses in the near future.”
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 35 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.