Permitting
AI won't file mine permitting applications, but ESG platforms like Ecodrisil ESG Xpress turn monitoring data into audit-ready documents much faster.
Exploration & Target Generation
Petrography
Automated petrography trains a convolutional neural network on digitized thin-section images (PPL and XPL) to classify rock types and mineral grains.
Predicting Comminution Parameters (BWI, DWI, Ai) with Machine Learning
Predict comminution parameters (BWI, DWI, Ai) with ML: run cheap proxy tests like hyperspectral or Leeb hardness on most samples, lab tests on the rest.
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.
Quality Assurance and Quality Control
Automate geochemical QA/QC with ALS QCPro or ioGAS to track standards, blanks and duplicates, and let anomaly flagging catch lab drift sooner.
Quick Geological Logging
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 Test
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
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
XRF analysis gives rapid elemental readings from handheld Vanta or TITAN units and lab benches; ML calibration corrects matrix effects on your own ore.