Predicting Rock Strength (UCS) from Point Load Testing with AI
UCS prediction with ML: train XGBoost or Random Forest on paired point load index and UCS lab results, then estimate rock strength wherever you have PLT.
UCS prediction with ML: train XGBoost or Random Forest on paired point load index and UCS lab results, then estimate rock strength wherever you have PLT.
Automate geochemical QA/QC with ALS QCPro or ioGAS to track standards, blanks and duplicates, and let anomaly flagging catch lab drift sooner.
AI geological logging turns core photos into a first-pass lithology and structure log in hours. Datarock Core does it, and geologists review the draft.
Water quality testing at mines still runs through standard lab LIMS; the AI layer is a custom anomaly-detection model built on your own monitoring data.
XRD analysis runs on Rietveld tools like HighScore Plus or GSAS-II; CNN models now identify mineral phases far faster, which suits large sample batches.
XRF analysis gives rapid elemental readings from handheld Vanta or TITAN units and lab benches; ML calibration corrects matrix effects on your own ore.