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.

Key Features

  • 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.

Course content

Day 1

  • Reminders on non-linear geostatistics
  • Gaussian Anamorphosis
  • Support Correction
  • Information Effect

Day 2

  • Univariate and Multivariate Uniform Conditioning

Day 3

  • 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.