Day 1 - 17th of June 2019

Morning. General introduction

• Brief introduction: schedule of the course, overview of the types of geostatistical models for geological heterogeneity, presentation of the participants (P. Renard)
• Introduction to the Pluri-Gaussian technique (N. Madani)

Afternoon theory: Fundamentals of two-point Geostatistics (N. Madani)

• Principles of two-point Geostatistics for facies modeling

• Deterministic geo-domains modeling (hacking probabilistic approaches)

Afternoon laboratory exercises:

• Indicator kriging and Sequential Indicator Simulation practice (MATLAB code and Ar2gems)

Day 2 - 18th of June 2019

Morning theory.  Introduction of PluriGaussian Simulation (N. Madani)

• Introduction to Truncated Gaussian Simulation
• Pluri-Gaussian Simulation (Definition of flag, thresholds and variogram analysis)

Morning laboratory exercises:

• Examples of geo-domains modeling with forbidden contacts from a siliciclastic platform (MATLAB code)

Afternoon theory: Dealing with heterogeneity in PluriGaussian simulation (N. Madani)

• Vertical proportion curve (is it really helpful?)
• Non-stationary modeling by IRF-k
• Examples of more complicated flag definitions (hierarchical model based on evolution of geological domains)

Afternoon laboratory exercises:

• Modeling of heterogeneity considering the predefined interpretive block model (MATLAB code)
• Enhanced practice for hierarchical Pluri-Gaussian modeling

Day 3 - 19th of June 2019

Morning theory: Introduction to MPS (P. Renard)

• General principle and philosophy of MPS
• Concept of training image
• Basic algorithm and variants

Morning laboratory exercises:

• First simple application of DeeSse for a stationary case (in Ar2gems)
• Comparison with Sequential Indicator Simulation

Afternoon theory: From stationary to non-stationary simulations (J. Straubhaar)

• Understanding DeeSse parameters in a categorical case
• Requirements of a training image / how to get it and what should be its properties
• Dealing with non-stationarity in the simulation grid

Afternoon laboratory exercises:

• How to generate a Training Image and a trend of orientation to control the simulation
• A simple practical case study: the Areuse delta (in Ar2gems)

Day 4 - 20th of June 2019

Morning theory: modeling with elementary training images (P. Renard)

• Elementary training images and invariances
• Parameterization of the structure

Morning laboratory exercises:

• Construction of elementary training images
• Use of invariant distances
• Modeling a fluvio-glacial aquifer from borehole data (in Ar2gems)

Afternoon theory:  multivariate simulations (J. Straubhaar)

• Multivariate MPS and gap-filling
• Tests on synthetic applications
• Multivariate, multitemporal satellite image gap-filling

Afternoon laboratory exercises:

• How to deal with non-stationarity when using analog data?
• Use of secondary attributes