FAMMP, Fennoscandian Association for Metals and Minerals Professionals, arranges FAMMP Snowden Optiro tranining in Luleå with Ian Glacken, Director and Principal Consultant, Snowden-Optiro.
This is truly a unique opportunity to be trained by one of the most recognised and successful experts in the field.
Ian is a geologist with postgraduate qualifications in geostatistics, mining geology and computing who has over 35 years worldwide experience in the mining industry. Following 16 years working for a major multi-national, multi-commodity mining company in a variety of technical and geological management roles, Ian entered the consulting sphere.
Ian’s skills are in resource evaluation, public reporting, quantitative risk assessment, strategic advice, geostatistics, reconciliation, project management, statutory and competent person’s reporting and mining geology studies. Ian was a founding Director of Optiro.
Course fees
Fee/s are discounted due to arranged by FAMMP as a professional organisation. The fee/s include training, lunch, snacks and coffee. Please note – the participant manages their own accommodation.
A fee is charged per day and is based on cost price. The fee per day is SEK 7000. excl. VAT. Please note that this fee is preliminary and may change depending on the number of participants per day and the current course.
Course outlines
Resource Estimation and Evaluation 4-day course (32 CPD hours) 11-14 September
This four-day course gives a clear understanding of the resource estimation process from interpretation through to classification. Each attendee will receive a free temporary Supervisor software licence. This course has been designed for geologists and mining engineers involved with or about to become involved with resource estimation. Participants are encouraged to provide their own resource (flagged sample) data and we will work through key aspects of data preparation on this data. Note: The course assumes a basic knowledge of geology, sampling, QAQC and statistical concepts but does not assume any geostatistical knowledge.
Fee: SEK 28 000, excl. VAT.
Reconciliation getting it right the first time 1-day course (8 CPD hours) 15 September
In this one-day course we cover all aspects of the reconciliation process, including the key data which needs to be collected, the importance of unbiased measurement of volumes, tonnages, and grades (among other metrics). We will show how to map out the production data flow and discuss the important measures of performance. Attendees will work on real-life reconciliation information and examine the potential sources of error. Scrutiny of the processing side of the reconciliation information provides another perspective, and a discussion of best practice highlights how efficient and useful a well-specified system can be. We have multiple case studies over a range of commodities, updated regularly and based upon our most recent consulting work.
Fee: SEK 7000, excl. VAT.
Advanced Resources Estimation and Simulation 3-day course (24 CPD hours) 18-20 September
This course addresses some of the key issues in mining and mineral resource estimation, and covers many ways to get more out your grade and geological data. Following a review and refresher of the kriging equations, we look at the various flavours of kriging and when they are applicable. The particular advantages of non-linear kriging approaches such as single and multiple indicator kriging are covered.
Fee: 21 000, excl. VAT.
Successful Sampling and QAQC of Assay Data 2-day course (16 CPD hours) 21-22 September
Understanding the importance of good sampling and QAQC practices This 2-day course will teach you: correct sampling practices, the sources of sampling error, to optimise your sampling protocol through the application of sampling theory, the principles of QAQC and the statistical tools to critically analyse QAQC data.
Day 1 Effective successful samplingA hands-on guide to designing and running effective sampling programs all aspects are explained using case studies and practical exercises.
Day 2 QAQC of assay dataTackles the issue of best practice and presents a set of practical guidelines for ensuring you achieve highest data quality.
Fee: 14 000, excl. VAT.
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