Resource Estimation and Evaluation

Course presenters: Ian Glacken – Executive Consultant; Paul Blackney – Executive Consultant; Kahan Cervoj – Executive Consultant; Anthony Cook – Product Manager of Supervisor; Oscar Rondon – Principal Geostatistician

A practical step-by-step guide from data to resource.

This five-day course gives a clear understanding of the resource estimation process from interpretation through to classification. This course has been designed for geologists and mining engineers involved with or about to become involved with resource estimation. Each attendee will receive a free temporary Supervisor software licence.

The fifth day does a run-through of the entire resource estimation process and gives the attendees the opportunity to work through their own data.

 

A practical step-by-step guide from data to resource.

This five-day course gives a clear understanding of the resource estimation process from interpretation through to classification. This course has been designed for geologists and mining engineers involved with or about to become involved with resource estimation. Each attendee will receive a free temporary Supervisor software licence.

The fifth day does a run-through of the entire resource estimation process and gives the attendees the opportunity to work through their own data.

Key topics covered in this course include:

· How to create a robust resource estimate with industry standard software and techniques

· How to explore your data and combine geology and geostatistics to build more robust estimates

· How to understand and follow codes and practical guidelines for resource classification.

The course covers the entire resource estimation process, including:

· Introduction – flow of tasks, key concepts

· Data quality – QAQC, sampling, database

· Domaining and data preparation – the how and why of boundaries, coding, and compositing

· Statistics – exploring and describing good and bad datasets, de-clustering, and top cutting

· Variography – understanding grade continuity, modelling variograms, moving from the variogram to the estimate

· Estimation – understanding kriging, exploring multiple indicator kriging, inverse distance and 2D estimation

· Model validation – tools and techniques

· Post-processing – understanding change of support and recoverable resources

· Classification and reporting – understanding the Codes and types of reports

· An introduction to Conditional Simulation for risk and uncertainty.

Course outcomes – attendees 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.

Note: The course assumes a basic knowledge of geology, sampling, QAQC and statistical concepts but does not assume any geostatistical knowledge.

In-house /Online or Onsite training is a cost-effective way of getting your whole team trained. Get in touch to find out more.

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