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

Learn to embed Isatis.py tools to estimate and simulate categorical variables, and generate facies models, within Python scripts.

Objectives

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

Module content

You will cover the following topics:

  • Indicator kriging
  • Plurigaussian Simulations
  • Sequential Indicator Simulations

Outlines

  • Hands-on software training: Engage in computer-based exercises using Isatis.py, reinforcing learning through real-world data scenarios.
  • Personalized feedback: Receive individualized guidance and feedback from experienced trainers during online sessions to support your learning journey.
  • Comprehensive resources: Access detailed course materials, including documentation, Python script files, and datasets, to reinforce learning and facilitate application post-training.

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, and data scientists seeking to develop their skills in creating customized, flexible, and efficient geostatistical workflows based on Python scripts and the Isatis.py library.

Prerequisites

Prior experience with Python scripting is required. The first module of this series, “Introduction to Python,” provides the necessary skills and knowledge. A solid background in practical geostatistics is also recommended.