Isatis.py training: Module 6: Indicator estimation and simulation
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.
- 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 4: Continuous simulations
October 17th, 2024 – 3 hours
Focus on mastering uncertainty quantification using Isatis.py. - Module 5: Multivariate estimation
October 23rd, 2024 – 3 hours
Focused on mastering multivariate estimation using Isatis.py.
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.