Webinar | Building Confidence in Mineable Resources with Non-Linear Geostatistics

🞉 Date & format

Friday, February 6, 2026, 11:00 am (Paris CET)
Duration: ~30 minutes + live Q&A
Live online session. All registrants receive the webinar video for replay.

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

🞉 Why attend

Recoverable resource estimation is a critical step where estimation choices directly influence economic decisions, planning confidence and risk management. Traditional methods like ordinary kriging can smooth variability and underestimate uncertainty, particularly in non-Gaussian datasets and at meaningful cut-offs.

This session will introduce you to non-linear geostatistical approaches that:
– better capture geological complexity,
– deliver robust grade-tonnage insights,
– and support smarter decisions from exploration through resource evaluation.

🞉 What you’ll learn

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

• Why non-linear geostatistics matters – Understand the limitations of linear estimation when handling skewed data and economic cut-offs, and how non-linear approaches better preserve variability and probabilistic information.
• Multiple Indicator Kriging (MIK) – Learn how MIK estimates probabilities of exceeding thresholds, essential for constructing realistic grade-tonnage curves and recoverable resource metrics.
• Conditional Expectation – See how conditional expectation incorporates probabilistic outcomes to produce expectation-based recoverable resource estimates.
• Simulation concepts for decision support — A preview of how stochastic simulation principles enhance uncertainty quantification and resource evaluation.
• Practical context & workflows – How these methods fit into real geostatistical practice and support smarter decisions from drillholes to recoverable resource reporting. Demo with Isatis.neo.

🞉 Who should attend

This webinar is designed for professionals involved in mineral resource evaluation, geological data analysis and modeling, mine planning and economic assessment, technical leadership, and decision support in mining projects.

Whether you’re refining initial exploration estimates or advancing bankable recoverable resource models, you’ll walk away with a clearer understanding of where non-linear geostatistics adds value.

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.