Machine learning to model blast outcomes


Achieving the optimal level of rock fragmentation whilst making the most efficient use of explosives is key to a successful blasting process. This machine learning based modelling tool enhances workflow for optimising fragmentation, whilst minimising explosives use. The solution's algorithms model key variables such as type of explosive, drill pattern, drill diameter and rock hardness, as well as predicting drill and blast outcomes using historical data.

Problems solved

Optimisation of rock fragmentation


Greater fragmentation

Key facts


Greater fragmentation with higher energy explosions


machine learning
metals and mining
rock fragmentation analysis

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