Webinar | Why non-linear geostatistics matters in early-stage exploration
In early-stage exploration, limited data and high uncertainty make standard resource estimation methods risky. Join our free 30-min webinar to discover how non-linear geostatistics like Multiple Indicator Kriging (MIK) and Conditional Expectation offer more robust, realistic resource estimates.
Thursday, May 15, 2025, 11:00 am (Paris CEST)
Unavailable to attend this webinar live? Register anyway to access the replay later.
(ce webinaire est aussi réalisé en français le 13 mai à 11h00. Cliquez ici pour vous y inscrire).
In early-stage mining exploration, data is often sparse, irregular, and uncertain, conditions that challenge traditional linear geostatistical methods like ordinary kriging. These techniques tend to smooth spatial variability, potentially masking key geological features and leading to biased resource estimates.
This webinar introduces the power of non-linear geostatistics, including Multiple Indicator Kriging (MIK) and Conditional Expectation, and how these approaches better handle non-Gaussian, skewed data and complex grade distributions.
You will discover how these methods create a more realistic model of the deposit and assist in quantifying resources based on various cutoffs.
What you’ll learn:
- Why ordinary kriging can underestimate variability and lead to biased models
- How non-linear methods better handle skewed, sparse, and non-Gaussian data
- How MIK provide threshold-based modeling for better grade distribution insights
- When and why to use Conditional Expectation in early-stage resource estimation
- Real-world examples of how these tools in Isatis.neo improve early exploration decisions
Don’t miss this opportunity to learn more!