Isatis.py training: Module 6: Indicator estimation and simulation | Training course

Master the development of Python workflows for categorical variable estimation and simulation using our geostatistics library, Isatis.py.

Objectives

  • Through hands-on practice with a synthetic mineral deposit dataset, utilize Isatis.py’s categorical variable estimation and simulation tools to efficiently generate accurate facies models.
  • Learn Python coding best practices. Create clear, high-quality Python scripts for easy interpretation.
  • Enhance your geostatistical expertise and practical skills.

Module content

  • Indicator kriging
  • Plurigaussian Simulations
  • Sequential Indicator Simulations

Key features

  • Receive documentation, training datasets, and reusable Python scripts to apply in your workplace.
  • The course is available in French or English, based on participants’ preferences.

Additional modules

The Isatis.py training program comprises a series of 6 modules that can be completed independently:

Who should attend

Designed for geologists, geoscientists, environmental engineers, and professionals looking to develop their skills in creating customized, flexible, and efficient geostatistical workflows based on Python scripts.

Prerequisites

Prior knowledge of scripting with Python is required to participate, and a solid background in practical geostatistics is recommended.