Geological modelling by geostatistics | Training course

Build a sound geological model or a domain model conditioned to the observations.

Objectives

  • Learn the basics of indicator kriging, its variants and application in geological and domain modelling in Isatis.neo 
  • Understand the theory of geostatistical simulations (SIS, TGS and PGS) used for creating a block model of a categorical variable, and some complementary options available in Isatis.neo 
  • Implicit modelling in Isatis.neo: for stratigraphic units and intrusive complexes 

Application Domain

  • Geological modelling prior to mineral resource estimation 
  • Domain modelling to improve mineral resource estimation within more homogeneous domains 
  • Geological modelling for geotechnical modelling within homogeneous space 
  • Geological modelling for petroleum reservoir characterization 

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) 
  • Modelling non-stationarity (proportion modelling) 
  • Truncated Gaussian Simulation (TGS) 
  • Plurigaussian Simulation (PGS) 
  • An introduction to implicit geological modelling by potential field method 
  • Unfolding 

Training Materials:

  • Theory: Slides will be communicated
  • Practice: Training licence of Isatis.neo geostatistical software will be attributed to the participants; as well as a typical facies dataset. 

Prerequisites

  • Linear geostatistics (variogram and kriging method). 
  • Knowledge of Turning Bands Simulation (TBS) would be appreciated.