Risk Analysis and Mineral Resource Classification
Gain a sound understanding of the concepts and techniques of conditional simulations for application to common mining issues
DURATION: 3 DAYS | LEVEL: ADVANCED
Geostatistical simulation techniques provide robust and valuable tools for helping to solve mining problems associated with risk and uncertainty. This course will provide you with a sound understanding of the concepts and techniques of conditional simulations for application to common mining issues. Practical solutions to post-process simulations, assessing the uncertainty related to your estimates (grades, geology,…) are presented and discussed.
An overview of the methods used for mineral resources categorization is also presented, along with a practical session. Methods covered range from Kriging variance to conditional simulations, and include an introduction to spatial sampling density variance, which measures the efficiency of a drilling pattern.
This course is focused on mining issues
- Simulations for continuous and categorical variables
- Simulation concepts and theory explained in a clear and concise way
- Comparison between the different methods to categorize your mineral resources between measured, indicated and inferred; use of simulations for building resources categories and new geostatistical tools such as spatial sampling density variance
- Demonstrations and examples using Isatis
- Plenty of hands-on exercises with Isatis to reinforce and explore concepts
Who should attend
This course is aimed at geologists, engineers and others seeking a sound theoretical and practical knowledge of conditional simulations for mining applications.
- Reminders of linear and non-linear geostatistics and their role in assessing uncertainty: dispersion variance, change of support, information effect, etc.
- Simulating continuous variables: Turning Bands and Direct Block Simulation
- Simulating categorical variables: Sequential Indicator
- A comprehensive guide to simulation using Isatis
- Uncertainty on recoverable resources estimates
- Resource classification from sampling criteria to confidence intervals from simulations
- Explanations and practical examples on other tools to quickly assess your mineral resources categories.
- Case studies: Assessing risk and uncertainty of grade estimates
As the course refers to advanced geostatistical concepts, it is highly recommended that attendees have a reasonable knowledge of variography and kriging.