Recoverable Resource Estimation
Be at the forefront of mining geostatistics and learn how to improve your resource evaluation with innovative multivariate non-linear geostatistics
With this advanced course, you will learn how to improve your recoverable resource estimationsusing Isatis innovative non-linear geostatistics.
This course provides reminders about the change of support model (discrete gaussian model)and its application to:
- Global recoverable resource calculation,
- Local recoverable resources estimation by Uniform Conditioning,
- Direct block simulation with turning bands methods.
- Fundamental multivariate non-linear geostatistics concepts,
- Demonstrations and examples using Isatis.
Who should attend
Managers, resource and exploration geologists and mining engineers involved in feasibility studies or medium to long term planning.
- Reminders on non-linear geostatistics
- Gaussian Anamorphosis
- Support Correction
- Information Effect
- Univariate and Multivariate Uniform Conditioning
- Direct Block Simulations used in the framework of the Discrete Gaussian Model
Prior knowledge of non linear geostatistics (anamorphosis, turning band simulations, univariate Uniform Conditioning) is recommended.