Watch the video to see how DRIVER uses AI and brute-force cloud computing power to dig into your multi-element drilling data and generate hundreds of different interpolations for analysis and identify areas of interest that were impossible to see before.
GEOSCIENCE MODELING FUELED BY AI
DRIVER uses Artificial Intelligence to revolutionize the speed and utility of geoscience modeling.
From raw data to block models and wireframes in a matter of minutes or hours… not days or weeks.
Take full control, or let AI guide your analysis. The DRIVER engine builds data-driven optimized models.
DRIVER models every aspect of your data, letting you focus on interpreting the results and making decisions.
AUTOMATIC ANISOTROPY: THE HEART OF OUR AI ENGINE
Finding the correct “anisotropy” (direction of data continuity) is the biggest time-sink and source of error in geoscience modeling.
DRIVER uses a revolutionary AI algorithm to automatically determine the correct anisotropy for every element in your dataset, within minutes*.
DRIVER can calculate global anisotropies for stationary data or automatically create locally varying anisotropy fields to model non-stationary datasets.
Every decision made by DRIVER is driven by the data, meaning robust results that are free of from bias.
*Based on a prepared (i.e., leveled and audited) geochemical dataset with 1000 drillholes, 100,000 samples and 40 geochemical elements measured.
OVERLAP ANALYSIS: THE FUNCTIONALITY YOU'VE ALWAYS NEEDED
DRIVER can use AI to automatically identify the anomaly zones, or you can create your own grade-shell wireframes.
Our super-fast algorithm then calculates every theoretically possible multi-attribute spatial overlap combination.
DRIVER lets you quickly browse and view millions of potential multi-attribute combinations giving you the freedom to letting you concentrate on your geological ideas.
CASE STUDY | ACHMMACH TIN DEPOST, MOROCCO
Download a case study to see how DRIVER was used to identify multi-element geochemical zonation in a tin deposit in Morocco
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