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.