Isatis.py training: Module 6: Indicators estimation and simulations | Training course

Learn to develop indicator estimation and simulation routines using our Python geostatistics library, Isatis.py. Develop your geostatistical analysis and practical skills.

Objectives

This module is focused on mastering the estimation and simulation of indicators and categorical variables using Isatis.py, including practical applications of plurigaussian and sequential indicator simulations.

Key features

  • Facies Simulations: Apply facies simulations on a synthetic ore deposit using a Python procedure.
  • Course Material Provided: Receive comprehensive documentation, training data, and Python draft scripts that can be reused in your workplace.
  • Language Options: The course will be conducted in either French or English, depending on the participants.

Module content

  • Indicator kriging
  • Pluri-gaussian simulations
  • Sequential Indicator Simulations

Additional modules

Completion of previous modules or having experience in geostatistics and Python coding is required for participation in any of these modules.

Who should attend

Geologists, geoscientists, environmental engineers, anyone wishing to gain the skills needed to use Python to simulate categorical variables.

Prerequisites

This course is an introduction. Prior knowledge of scripting or Python is not required to participate.