Automate your Geochemical Modelling with DRIVER

Description

Minerva’s innovative DRIVER software uses machine learning to automate and accelerate the process of turning sparse drilling data into complete 3D block models, rapidly increasing your orebody knowledge. 

This browser-based software platform lets you interactively model all aspects of your dataset in a matter of minutes, freeing up your time to fully test your geologic hypotheses, plan your next drilling campaign, or make informed mining decisions.

Join Alexander Wilson, PhD (Technical Product Lead)) and Sam Cantor, PGeo (Section Head, Economic Geology) for a webinar discussing the application of unsupervised machine learning in automating and enhancing geoscience block modelling. The webinar will involve a live demonstration of the DRIVER platform using a sample drilling dataset. 

Specifically, the webinar will address:
- Resolving anisotropy (directionality) ellipsoids automatically from sparse data
- Calculating locally varying anisotropy fields from sparse data and their utility in complex geoscience modelling problems
- Machine learning clustering techniques for anomalous zone identification and wireframing
- Using interactive wireframe intersection tools to conduct comprehensive 3D multi-element overlap analysis
- Using a multi-disciplinary approach to de-risk your exploration projects

Our software is designed to be used by anyone – regardless of your modelling experience, so join us to find out more!

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Automate your Geochemical Modelling with DRIVER

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