Your next discovery is already in your data.
Most geological models are still user-driven. Driver closes the gap between available data and extracted insights from it. Using machine learning to detect and quantify structural trends directly from your data, it gives geoscientists a faster, more objective foundation to build on. Driver shifts the paradigm from user-driven to data-driven. The result is a structural foundation that is faster to build, easier to defend, and continuously informed by everything your data has to say.
In this white paper, you’ll learn:
- How Spatial Continuity Mapping reads geological continuity in 3D from your drilling data
- How OceanaGold found over 2,000 additional gold ounces from existing data in less than an hour
- How Driver clusters its structural trends to segregate domains and isolate individual veins
- Driver closes the loop from discovery to estimation, supporting LVA for accurate estimates