We are seeking partners interested in developing a data-driven mine-to-mill framework that transforms Measurement While Drilling (MWD) data into actionable information for sustainable mining operations.

Our expertise includes MWD data processing, rock mass characterization, machine learning, geostatistics, and mining process analytics. The project aims to investigate how information extracted during production drilling can be propagated through blasting, crushing, stockpiling, blending, and milling to support material characterization, process optimization, and energy-efficient comminution.

Potential research topics include:

MWD-based characterization of rock and ore variability
Digital representation of material characteristics throughout the mine-to-mill chain
Material flow modelling and blending optimisation
Integration of process data from drilling, crushing and milling
AI-based prediction of downstream processing performance
Sustainable mining through reduced energy consumption and improved resource efficiency

We welcome collaboration with mining companies, mineral processing researchers, equipment manufacturers, sensor developers, digital solution providers, and sustainability experts interested in developing innovative approaches for mine-to-mill optimisation.

Luleå technical University is a governmental institution in Sweden.