When Katrina Garven, Principal Database Consultant at Alias Database Services, reflects on how mining and exploration companies use geological data, she sees an industry undergoing a quiet revolution.
In the drive to improve energy efficiency, recovery, and metallurgical precision, a global engineering company has released a quiet disruptor: a machine-learning-enabled sensor that’s helping mining operations monitor and optimise grind size with new levels of accuracy.
As underground mining continues to push the limits of depth, temperature, and stress environments, traditional geotechnical design tools are being pushed just as hard.
In the high-stakes world of underground mining, where rotating drill steels and mobile equipment operate in confined, often unpredictable environments, safety remains paramount.
