Geological modeling by geostatistics | Training course

Learn how to craft a robust geological or domain model conditioned to the observations.

Objectives

  • Learn the basics of indicator kriging, including its variants and applications in geological and domain modeling using Isatis.neo.
  • Understand the theory behind geostatistical simulations (SIS, TGS, and PGS) used to construct a block model of a categorical variable, along with additional options available in Isatis.neo.
  • Explore the implicit modeling features in Isatis.neo for stratigraphic units and intrusive complexes.

Application domains

  • Geological modeling before mineral resource estimation.
  • Mineral resource estimation within uniform domains for better accuracy in resources.
  • Geotechnical modeling within homogeneous areas.
  • Characterization of petroleum reservoirs.

Who should attend

This course is aimed at professionals who want to understand the theoretical and practical aspects of modelling a categorical variable grade uncertainty. 

Course content

  • Indicator kriging: univariate and multivariate variants, 
  • Sequential Indicator Simulation (SIS),
  • Modeling non-stationarity (proportion modeling),
  • Truncated Gaussian Simulation (TGS),
  • Plurigaussian Simulation (PGS),
  • Introduction to implicit geological modeling by the potential field method, 
  • Unfolding.

Training material

  • Theory: slides will be provided.
  • Practice: a training license of Isatis.neo geostatistical software will be attributed to the participants, as well as a typical facies dataset.

Prerequisites

  • Familiarity with linear geostatistics, including the variogram and kriging methods, is highly recommended.
  • Knowledge of Turning Bands Simulation (TBS) would be appreciated.