In an industry first, Maptek and PETRA Data Science have established a partnership which will enable seamless value chain optimisation and simulation from resource models through to metal produced.
Mining companies will be able, for the first time, to use millions of tonnes of their historical performance and resource metadata for dynamic optimisation.
PETRA Managing Director, Penny Stewart discusses the new partnership:
’I see Maptek as the go to company for spatial data in mining. Whether you are looking at their 3D virtual environments for geological modelling and mine optimisation, or long-range laser scanners for 3D mapping and monitoring, every aspect is custom built for mining. Any true digital twin in mining needs to consider geology.’
‘Our partnership with Maptek provides PETRA with easy access to upstream geological data for value chain optimisation, and enables Maptek to extend schedule optimisation downstream of the mine. For the first time, miners will be able to play forward the mine schedule into the processing plant ’
‘Recently I had the opportunity to visit the Maptek R&D facility in Adelaide, where I listened as the Manufacturing Manager explained how in response to customer requests, they have shed 4 kilograms off the weight of their scanners.’
‘The custom built innovations incorporating aerospace technology and military grade specs are really impressive. I mention this example because it illustrates Maptek’s laser focus on their mining customers, and this is strongly aligned with PETRA’s reason for being.’
‘As a mining engineer, I know that Maptek’s reputation for maintaining substantial investment in software and hardware for spatial data is second to none. I feel honoured that Maptek has chosen to partner with PETRA, and the whole PETRA team is excited by what this partnership will achieve for the mining industry!’
The integrated technology offerings of PETRA and Maptek cover solutions from geological modelling to plant and process optimisation and simulation. The partnership combines deep domain expertise from across the whole value chain and, together, PETRA and Maptek offer the industry a practical alternative to the common practice of siloed optimisation.
Under the partnership, Maptek Evolution mine schedule optimisation will be dynamically linked to PETRA’s latest digital twin performance models including; metal produced, grade, quality, recovery and throughput. Dynamic mine scheduling is made possible by bringing together Maptek optimisation engines and PETRA’s prediction and simulation algorithms.
Maptek BlastLogic blast design optimisation will also benefit from dynamic links to PETRA digital twin models for loading, crushing and grinding. In addition, PETRA MAXTA digital twin blast design simulation will benefit from connection to BlastLogic historical drill and blast design data.
PETRA’s Managing Director, Penny Stewart will continue to drive the growth and development of PETRA solutions, with Maptek Managing Director, Peter Johnson appointed to the PETRA Advisory Board. PETRA will continue to operate a platform-agnostic business model, with investment funds channelled into further development of PETRA’s open format integrations, including APIs and architecture.
Peter Johnson said that Maptek’s goal to enable customers to realise greater value from the available mine data requires consideration of a context far beyond the orebody model and mine plan.
‘We need to empower our customers to relate the performance and characteristics of processes and equipment far downstream from geology or planning assumptions and understand the relationships better.’
‘PETRA has a proven capability to create prediction and optimisation algorithms for miners through the innovative application of their data science expertise and experience in the real world,’ he added.
‘Our investment and ongoing partnership is all about building business improvement into the mining cycle by leveraging the technology of both companies.’
To find out about the possibilities, contact PETRA
PETRA’s suite of highly scalable and platform agnostic algorithms are successfully deployed by mining companies around the world. Hundreds of FORESTALL® prediction algorithms are preventing unplanned downtime and enabling process optimisation by predicting process variables in real-time. FORESTALL was a finalist in the Austmine 2017 Innovation Award.
MAXTA digital twins for value chain optimisation ingest 10s of millions of tonnes of ore data to predict and simulate plant performance using machine learning. MAXTA digital twins have been successfully used for geometallurgical prediction, drill and blast simulation, and process control simulation and optimisation. MAXTA machine learning models are readily deployed across the value chain from mine planning right through to advanced process control.