Key Takeaways Baseline topographic survey and 3D terrain modelling are now largely drone/LiDAR-driven, with AI showing up in two distinct places: autonomous SLAM navigation during capture, and implicit-modelling interpolation once the data lands. Emesent …
Key Takeaways Lithology, structure, alteration, ore/minezone, and geotechnical domaining are all built in the same implicit-modelling suites — Leapfrog Geo, Datamine Studio RM, and Vulcan — so the AI story for all five …
Key Takeaways Alteration modelling has quietly shifted from “geologist draws domains from logging” to “hyperspectral data informs the domains directly.” Leapfrog Geo’s implicit modelling engine (FastRBF) is the standard tool for building the 3D alteration surfaces …
Key Takeaways Post-blast evaluation splits into two AI-driven tasks: tracking where the ore actually moved (Hexagon Blast Movement Intelligence) and measuring fragmentation size (Split-Desktop, WipFrag). Hexagon BMI generates a “Muckpile Block Model” — a post-blast update to your …
Key Takeaways Wireless sensor-network platforms — Worldsensing, RST Instruments, and Beyond Monitoring — are what most mines now use to plan and deploy piezometer/monitoring-well networks with telemetry. These platforms are compatible with a wide range of …
Key Takeaways “Dynamic” block models update automatically as new drilling or production data comes in, instead of sitting static until the next scheduled model rebuild. This is a named, shipping feature in commercial mine-planning suites — not a research concept — specifically in …
Key Takeaways Brownfield exploration (drilling near an existing mine) already sits on top of dense historical data — drillholes, block models, grade control records — which is exactly the fuel AI targeting tools need. There’s no separate “brownfield AI” product category; teams …
Key Takeaways GeoMet reporting — turning geometallurgical sample results into predictive performance reports — has a real dedicated platform: Cancha. Cancha integrates sample selection, prediction modelling, and automated reporting into one system, rather than leaving geologists to stitch …
Key Takeaways The raw geophysics (magnetics, gravity, EM survey acquisition) is still classical, mature science — AI enters at the interpretation stage. AI prospectivity-mapping platforms like VRIFY DORA fuse multiple geophysical layers with geochemistry and geology to rank exploration targets …
Key Takeaways Ground water models still rest on MODFLOW 6 or FEFLOW as the actual flow-simulation engine. PyHydroGeophysX, published in 2026, is a new open-source Python platform that bridges hydrological models (MODFLOW, ParFlow) with geophysical inversion tools like pyGIMLi and SimPEG. That bridge …