Training
Isatis.py training – Module 3: Kriging
Where this module sits
The Isatis.py course is delivered in six 3-hour modules that you can take separately or in sequence:
– Module 1: Introduction to Python. Get acquainted with Python and explore how Isatis.py is connected to this programming language.
– Module 2: Exploratory Data Analysis. Master Exploratory Data Analysis (EDA) to effectively explore data using Isatis.py.
– Module 3: Kriging. Master kriging using Isatis.py.
– Module 4: Continuous simulations. Master simulations and uncertainty quantification using Isatis.py.
– Module 5: Multivariate estimation. Master multivariate estimation using Isatis.py.
– Module 6: Indicators estimation and simulations. Master estimation and simulation of indicators and categorical variables using Isatis.py.
Objectives
Production estimation workflows must run consistently across datasets and domain selections. You will script Isatis.py operations for experimental variograms, simple and ordinary kriging, output validation, and polygon-based data selection. The exercises assemble a 2D contamination-mapping workflow from pollution data and a bounded 3D modeling workflow for an iron deposit.
Target audience
Company developers, geoscientists, and data scientists with Python scripting experience and a recommended practical geostatistics background who implement spatial-estimation workflows with Isatis.py.
Content
Configure continuity inputs
– Script the calculation and review of experimental variograms for the estimation workflow.
Run estimation operations
– Configure and run simple kriging and ordinary kriging in Isatis.py.
– Build a two-dimensional contamination-mapping workflow from pollution data.
– Build a three-dimensional modeling workflow for an iron deposit.
Validate outputs and control domains
– Run the confirmed validation steps on estimation outputs.
– Implement data selection within polygons to manage domain limits in the three-dimensional model.
– Organize the operations as clear, interpretable Python scripts.
What the course includes
- Hands-on software training. Computer exercises in Isatis.py, using real datasets.
- Personalized feedback. Individual guidance from experienced trainers throughout the online sessions.
- Ready-to-reuse resources. A temporary software license, course documentation, journal files, and datasets to keep and use after the course.
- Certificate of completion. Issued at the end of the session.
Prerequisites
Python scripting experience is required. If needed, start with Module 1, Introduction to Python. Practical geostatistics knowledge is also recommended, as this course focuses on implementing workflows rather than teaching the methods.
Register, or ask us first
This form handles all three: registration, a quote for yourself or your team, and questions about the content or the prerequisites.
Address
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