Machine Learning

ABA Models

Acid rock drainage prediction with AI: run ABA and humidity cell tests per the GARD Guide, model results in PHREEQC, and see where machine learning fits.

Advanced sensing

Grade control sensors such as XRF, XRD, LIBS and hyperspectral scanners rely on AI calibration software to turn raw spectra into grade and mineralogy.

Analytical Methods

Geochemical data analysis with AI: explore multi-element assays in ioGAS, then add Python and ML scripts that cluster samples and flag anomalies for you.

Bench Slope Design

AI-assisted bench slope design uses ML models to generate rock-mass inputs like dip and dip-direction, then runs factor-of-safety analysis in RocScience.

Clay/Geomet Model

Clay mineral prediction with AI: scan core with Corescan or HyLogger, automate first-pass logging with CSIRO's MyLogger and feed the geomet block model.