Geostatistics for Resource Estimation
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Note that this course is also available in French and in Spanish.
Objective
This course is an introductory mining geostatistics course with advanced topics. It is is ideal for newcomers to geostatistics or for someone wanting a refresher. It covers in detail variography and kriging (univariate and multivariate) and recoverable resource estimation (Simulation, Uniform Conditioning and indicator approaches).
Key features
- Fundamental geostatistical concepts
- 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 people who want to learn mining geostatistics fundamentals, seeking a sound theoretical and practical knowledge of the discipline.
Course content
- An introduction to mining geostatistics: what is geostatistics and why use it?
- The framework for geostatistics
- Geostatistical concepts
- The limitations of classical statistics
- Spatial data analysis: experimental variograms, clouds, maps
- Variogram models
- The theory and properties of kriging
- Kriging in practice
- Multivariate geostatistics
- In situ resource estimation
- Global and local recoverable resource estimation
- Conditional Simulation
- Mini-project: Using geostatistical techniques in an exploration, evaluation or production study.
Prerequisites
None. This course is an ideal introduction to mining geostatistics and is complemented by our Best Practices in Isatis course.
This course may be scheduled for another date and/or location. Tailored courses may also be organized on client demand. Please contact your sales representative to request more information.
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