Using Machine Learning for Automatic 3D Anomaly (zone) Identification

Figure 1: The Saddle North deposit, British Columbia, Canada. Left: DRIVER generated gold (Au) block model (15 m) showing estimated Au concentration. Right: grade shell wireframe enclosing blocks with concentration >1 ppm.
Figure 2: The ‘Auto generate zones” function in DRIVER
Figure 3: 3D zone of anomalous Au (pink) generated using DRIVER’s machine learning based method. The table (right) provides a summary of the individual cluster average concentrations and volumes.
Figure 4: Automatically identified anomaly zones of Bi (blue), Cu (yellow) and As (grey). The zone of anomalous Au is shown for comparison (pink).

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