Digital twin value for mine performance

November 7th, 2019, Published in Articles: PositionIT

Solutions integration between Maptek and Petra is unlocking the value of digital twin models for mine value chain optimisation to improve performance, with benefits for the industry. Solutions range from geometallurgical and dig rate modelling and visualisation, to drill and blast and processing plant optimisation and simulation. Combining deep domain expertise from across the whole value chain presents the industry with holistic optimisation. Petra’s Maxta creates a digital twin of the entire mining value chain, with its machine learning approach bringing benefits to operations. Digital twin simulation enables engineers to virtually adjust scenarios around mine planning, blasting, metallurgy and process control to guide the best performance going forward. The solution’s mathematical optimisation automatically identifies which options give the best performance. A Python application connects Maptek’s Vulcan to Maxta and populate block models with digital twin learnings from Maxta. Planning can be based on better information, which in turn makes the digital twin models more relevant as they are connected to geological models and mine planning. This integration utilises the capacity of Maxta by using the advanced machine learning models and feeding information back into familiar workflows.

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