Machine learning-powered geological modelling: A data-driven approach with Driver software [Webinar]
In this webinar, you will discover Driver, a rapid cloud-based analysis tool within Seequent Evo that helps you interpret your drilling data.
Driver uses machine learning to identify and quantify complex 3D spatial relationships directly from your numeric and categorical data, providing deeper insight into deposits' trends and structural controls.
This process provides confidence scores and metadata, allowing geologists to review, refine, and integrate the results into their Leapfrog models and workflows seamlessly. This closes the loop between data-driven structural insight and the geological models that drive mining decisions.
You'll discover:
- How Driver rapidly maps local 3D continuity trends from both numeric and categorical drilling data to enhance your workflows.
- How data‑driven structural insights integrate with Leapfrog to build more robust models.
- How Seequent Evo enables seamless data flow between Driver and Leapfrog Geo.
Speakers:
- Christian Beros, Project Geologist
- Geoff Doty, Mining Senior Account Manager
Duration: 60 minutes
Relevant Resources:
- Learn more about Driver: https://www.seequent.com/products-solutions/driver
- Request a demo: https://www.seequent.com/products-solutions/driver/demo/
- Register for upcoming webinars: https://events.seequent.com/