Recoverable Ressource Estimation with Minestis

Be at the forefront of mining geostatistics and learn how to improve your resource evaluation with Minestis innovative multivariate non-linear geostatistics.

Objective

With this advanced course, you will learn how to improve your recoverable resource estimations using Minestis innovative non-linear geostatistics.

This course provides reminders about the change of support model (discrete Gaussian model) and its application to:

  • Global recoverable resources calculation,
  • Local recoverable resources estimation by Uniform Conditioning and Localized Uniform Conditioning,
  • Turning Bands conditional simulations.

Key Features

  • Fundamental multivariate non-linear geostatistics concepts,
  • Demonstrations and examples using Minestis.

Who should attend

Resource and exploration geologists and mining engineers involved in feasibility studies or medium to long term planning.

Course content

  • Reminders on non-linear Geostatistics
  • Gaussian Anamorphosis
  • Support Correction
  • Information Effect
  • Univariate and Multivariate Uniform Conditioning and Localized Uniform Conditioning
  • Reminder on Turning Bands Method

Prerequisites

Prior knowledge of linear geostatistics is recommended.