Isatis.py training – Module 4: Continuous simulations
Learn how to master Uncertainty Quantification with Isatis.py!
Enhance your geostatistical analysis skills with our focused training course, featuring real ore deposit simulations and practical Python procedures.
Objectives
This module focuses on mastering uncertainty quantification using Isatis.py, providing participants with advanced skills for geostatistical analysis.
Key features
- Uncertainty Quantification: Learn how to quantify uncertainty on a real 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
- Turning band simulations
- Sequential gaussian simulations
- Block versus point simulations
- Simulation validation
- Uncertainty visualization
Additional modules
Completion of previous modules or having experience in geostatistics and Python coding is required for participation in any of these modules.
- Module 1: Introduction to Python
October 9th, 2024 – 3 hours
Focus on the Python introduction and presented our solutions and how it is related to the language. - Module 2: Exploratory Data Analysis
October 11th, 2024 – 3 hours
Focus on diving in Exploratory Data Analysis, how to explore data completely. - Module 3: Kriging
October 15th, 2024 – 3 hours
Focus on mastering kriging using Isatis.py. - Module 5: Multivariate estimation
October 23rd, 2024 – 3 hours
Focus on mastering uncertainty quantification using Isatis.py. - Module 6: Indicators estimation and simulations
October 25th, 2024 – 3 hours
Focus on mastering indicators, and categorical variables using isatis.py. Plurigaussian simulations and Sequential Indicator simulations applications are exercised.
Who should attend
Geologists, geoscientists, environmental engineers, anyone wishing to gain the skills needed to use Python to estimate a quantitative variable.
Prerequisites
Prior knowledge of scripting with Python is required to participate, and a solid background in practical geostatistics is recommended.