Recoverable Resource Estimation with Minestis

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

Objective

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

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

  • Global recoverable resource estimation,
  • 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 of linear geostatistics
  • Gaussian Anamorphosis
  • Support Correction
  • Information Effect
  • Univariate and Multivariate Uniform Conditioning and Localized Uniform Conditioning
  • Review of the Turning Bands method

Prerequisites

Prior knowledge of linear geostatistics is recommended.