Environmental Studies
Environmental impact forecasting for mines: feed dust, noise, vibration and water sensor data to Envirosuite EVS Industrial to predict impacts 72 hours out.
Environmental impact forecasting for mines: feed dust, noise, vibration and water sensor data to Envirosuite EVS Industrial to predict impacts 72 hours out.
Log fracture spacing with AI: Datarock Core's neural network reads core photos and returns fracture logs validated against expert logging at Carrapateena.
Use geochemical proxies with AI: train a model on known-deposit multi-element signatures, then run it on your data to map prospectivity, as VRIFY DORA does.
Geophysical targeting with AI: load processed magnetics, gravity and EM grids into VRIFY DORA or OreFox, which fuse them with geochemistry to rank targets.
Scan rock, core or soil with a handheld XRF analyzer like the Evident Vanta Max, and let onboard chemometric calibration return near-lab results in seconds.
Hyperspectral scanning, point or imaging: use a handheld spectrometer for spot mineral ID or a core imager for full coverage, then classify spectra with ML.
Point a portable spectrometer like the ASD TerraSpec at rock or core, and onboard spectral-library matching identifies alteration minerals in seconds.
Informed core logging pairs an AI tool like Datarock Core with a shared model platform like Seequent Central, so every new hole is logged in context.
LIBS analysis detects light elements like lithium and boron that handheld XRF misses. The SciAps Z-300 does it in the field with no radiation licence.
Muon tomography with Ideon's REVEAL uses AI-assisted inversion to turn cosmic-ray muon data into a 3D density model that refines ore body geometry.