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:
- 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, 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.