Webinar | How to build data-rich geological models with geostatistics

🞉 Date & format

Friday, June 5, 2026, 11:00 am (Paris CET)
Duration: ~45 minutes + live Q&A
Live online session. All registrants receive the webinar video for replay.

Ce webinaire est également réalisé en français ce même jour à 14h00. Cliquez ici pour vous y inscrire.

🞉 Why attend

Reliable geological models are the foundation of sound decisions in geotechnical engineering, petroleum reservoir characterization, and mineral resource estimation; yet building them efficiently, from raw drillhole data to uncertainty-aware outputs, remains a challenge for most teams.

This webinar shows how Studio Geo and Isatis.neo address the full workflow: Studio Geo streamlines 3D geological interpretation and drillhole data management, while Isatis.neo brings geostatistical simulation and uncertainty quantification.

Through two real-world case studies, this webinar demonstrates how Isatis.neo and geostatistical simulation can build more robust geological models, improve the accuracy of derived parameter estimates, and make uncertainty explicit, alongside a practical tour of complementary modeling tools.

🞉 What you’ll learn

By attending this webinar, you’ll gain practical insight into:

• How geological modeling supports geotechnical investigations (liquefaction, pile design, UCS), petroleum reservoir characterization (gross-rock volume, static modeling), and mineral resource exploration (domain modeling, resource estimation).
• How Studio Geo guides you from drillhole import and geological interpretation to block model generation in a single dynamic workflow, with automated data integration and real-time updates
• How Plurigaussian Simulations (PGS) honor neighborhood and contact relations between lithological units to generate multiple equiprobable geological realizations, going beyond what kriging alone can achieve.
• How conditioning geotechnical parameters to a geological model improves the estimation of CPT, pressuremeter modulus (Em), and limit pressure (Pl), making weak formations explicit and uncertainty quantifiable.
• How unfolding, local anisotropy, implicit modeling, and MPS in Isatis.neo extend the workflow to handle structurally complex strata, automated contact construction, and geologically realistic facies patterns.

🞉 Who should attend

This webinar is designed for geoscientists, geotechnical engineers, petroleum reservoir engineers, and resource modeling teams involved in geological interpretation, stratigraphical or domain modeling, or resource estimation, and who want to strengthen their understanding of geostatistical approaches.

It is also relevant for technical managers and consultants who want to understand how Studio Geo and Isatis.neo fit together to deliver more efficient, defensible, and uncertainty-aware geological models.

🞉 Software covered

Isatis.neo
Advanced geostatistics software for geological and domain modeling, stratigraphical simulation, parameter estimation, and uncertainty quantification. Tools featured in this webinar include PluriGaussian Simulation (PGS), kriging with inequalities, unfolding, local anisotropy, implicit modeling, and Multiple Point Statistics (MPS).

Studio GEO
Datamine’s next-generation geological modeling platform for mine geologists and resource modeling teams. Combines drillhole data management, 3D geological interpretation, and block model generation in a single dynamic workflow, with automated data integration, real-time updates, and seamless connection to Studio RM and other Datamine tools.

Don’t miss this opportunity to learn from our experts!

🞉 Speaker

Roberto Rolo is a Senior Geostatistics and Data Science Consultant at Geovariances-Datamine. He supports mining teams in transforming geological data into reliable, actionable models through advanced geological modeling, grade estimation, and simulation workflows aligned with international reporting standards. An expert in Python and machine-learning techniques for geosciences, he develops tailored solutions to address real-world challenges in mining projects.