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.