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:
- Module 1: Introduction to Python
3 hours
Get acquainted with Python and explore how Isatis.py is connected to this programming language. - Module 2: Exploratory Data Analysis
3 hours
Master Exploratory Data Analysis (EDA) to effectively explore data using Isatis.py. - Module 3: Kriging
3 hours
Master kriging using Isatis.py. - Module 4: Continuous simulations
3 hours
Master simulations and uncertainty quantification using Isatis.py. - Module 5: Multivariate estimation
3 hours
Master multivariate estimation using Isatis.py.
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.