Learn to build realistic and uncertainty-aware models using advanced geostatistics and enhance your geological understanding.
3-day course – November 16-18, 2026 – Level: Advanced
Objectives
Unlock the skills to build reliable, realistic, data-driven geological models that capture uncertainty, boosting the credibility of your subsurface interpretations and empowering you to make smarter, more confident decisions.
Get hands-on with powerful geostatistical methods, such as Indicator Kriging and simulations (SIS, TGS, PGS), and apply them using Isatis.neo’s intuitive tools, including implicit modeling and the Unfolding feature, to confidently tackle complex stratigraphy.
Course content
- Foundations & Indicator Kriging
─ Theory: Origins, variants, and use cases of indicator kriging.
─ Hands-on: applications in geological and domain modeling using Isatis.neo.
- Conditional Simulations
─ Sequential Indicator Simulation (SIS), Truncated Gaussian Simulation (TGS), Plurigaussian Simulation (PGS) methods: Theoretical principles and workflows.
─ Practical modeling using specific options in Isatis.neo.
- Implicit Modeling
─ Introduction to implicit modeling of stratigraphic units and intrusive complexes using potential fields.
- Unfolding
─ Handle geological structures that have been folded or deformed.
─ Learn how to “unfold” these structures and convert complex geometries into a flattened space where continuity is more isotropic and easier to model.
Outlines
- Balanced learning approach: The course combines theory with practical applications, ensuring concepts are understood and applied effectively.
- Hands-on software training: Engage in computer-based exercises using Isatis.neo software, 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, journal files, and datasets, to reinforce learning and facilitate application post-training.
Who should attend
Ideal for professionals in mineral resource evaluation, geological surveys, geotechnical engineering, and petroleum exploration who want to strengthen their geological or facies modeling skills. Whether you’re aiming to build more robust models or integrate uncertainty assessments into your workflows, this training will help you make better-informed, data-driven decisions.
Prerequisites
A solid understanding of linear geostatistics, such as variogram analysis and kriging, is recommended. The course Mineral Resource Estimation by Linear Geostatistics provides an excellent foundation.
Prior experience with Turning Bands Simulation is highly recommended.
Explore Geovariances’ training offerings
Geovariances – Datamine France provides training for mining professionals seeking to strengthen their geostatistics expertise. Our courses blend theory with hands-on practice.
Flexible delivery formats, including online, hybrid, and face-to-face, are complemented by on-demand training, available for both in-company and public sessions, and tailored to your specific needs.
Develop skills in key areas such as:
– Local and recoverable resource estimation
– Uncertainty and risk analysis
– Resource classification
– Geological domain modeling
– Drill Hole Spacing Analysis
– Machine Learning
On-demand hands-on sessions on Isatis.neo and Isatis.py allow you to directly apply geostatistical methods in industry-standard software.
