How can we help?
3D mine planning & geological modelling
Drill & blast management
3D laser scanning & imaging
Streamlined geological modelling workflow
Interconnected mine scheduling
Point cloud processing & analysis
Machine learning assisted domain modelling
Reliable proximity awareness underground
LiDAR-based stability & convergence monitoring
Material tracking and reconciliation systems
Dynamic survey surface updates
Derive value from airborne or mobile sensor data
Fully utilise your exploration data to build more accurate
models and estimations to better inform mine planning.
Build and evaluate a variety of mine scenarios to ensure you
produce operationally viable plans and schedules.
Keep track of key activities across your processes to
increase production, efficiency and safety.
Maptek machine learning application DomainMCF helped a copper miner plan infill drilling for its project in South Australia.
An engineering geologist outlines the challenges of revisiting a gold deposit and how Maptek modelling tools were applied to control the complexity.
For a New Zealand consulting firm, the Maptek Geology Challenge was a chance to trial new software that could ultimately improve outcomes for clients.
Machine learning techniques trialled alongside traditional resource modelling at an underground metals mine demonstrates future benefits.
DomainMCF can change the way an operating mine uses geological and geotechnical models to keep information up to date in a production environment.
Applying machine learning to model marble reserves resulted in faster results and more uniform quality classifications to guide extraction.
Machine learning engine for domain modelling is able to identify faulted geology in record time.
The new Maptek geological domain modelling process employing machine learning has delivered accurate shapes and volumes in much shorter time.