Webinar: Building reliable mineral resource models – Best practices and geostatistical insights

Geovariances webinar: Building reliable mineral resource models: best practices and geostatistical insights - January 16, 2026
Location

Online

Date

16.01.2026

Cost

$0

Category

Geology

Organiser

Datamine Europe

Confident estimates start with the right methods. Learn how to enhance the reliability of your mineral resource models using best practices and powerful geostatistical techniques in this free expert-led webinar.

Friday, January 16, 2026, 11:00 am (Paris CET)


Unavailable to attend this webinar live? Register anyway to access the replay later.
(ce webinaire est aussi réalisé en français le 16 janvier à 14h00. Cliquez ici pour vous y inscrire).


Mineral resource estimation is a critical step in the mining value chain.
Technical choices – from block size to variogram fitting – can significantly impact the accuracy, reliability and and economic value of your resource model. These choices directly influence project economics, strategic planning, and stakeholder confidence.

Increase confidence in your resource models.
Join Geovariances expert consultant in mining geostatistics, Roberto Rolo, and explore a complete, practical workflow for mineral resource estimation using industry-proven geostatistical best practices.

You’ll gain insight into:
– How to structure your estimation workflow for maximum reliability
– Key best practices to avoid bias and increase model confidence
– The importance of sound data quality control and variography
– How geostatistics enhances estimation, classification, and reporting
– How it adapts to complex geology
– Case studies using Isatis.neo geostatistical software

This session is perfect for resource geologists and geological engineers, technical managers and mining consultants, any professionals involved in mineral resource evaluation and reporting.

Don’t miss this opportunity to learn more!

The amount of tickets is limited

Learn to enhance mineral resource model reliability with geostatistical best practices.

Online

16.01.2026

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