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Newcrest Mining

Newcrest Mining reduces production stoppages with AVEVA PI System

Newcrest Mining needed to collect real-time data to streamline decision-making, as its old methods caused costly response delays. The underground nature of its mines also made maintaining physical sensors difficult, due to the constraints of sending technicians to the sites. Deploying AVEVA PI System made it possible to build a scalable data architecture capable of running multiple redundant servers and supporting model-driven virtual sensors. Teams now have continuous, reliable monitoring of all facilities, securing mining production and minimizing interruptions. The results are particularly telling: throughput increased by 650,000 tons in the first six months after commissioning and crushing circuit stoppages fell by 50%. Newcrest now has a technology foundation aligned with its productivity and safety ambitions.

Objectives

  • Create a scalable platform to collect and mobilize data
  • Reduce downtime for critical assets

Solutions

  • AVEVA PI System

Results

  • Throughput increased by 650,000 tonnes in the first six months
  • Reduced crushing circuit downtime by 50%

Testimonials

"We can now continuously run COB, run-of-mine (ROM) and loaders, even if the COB level sensor fails. This ensures that the conveyors are running at full capacity and do not stop running unnecessarily, resulting in increased production.""
Pascal Dubois
General Manager, Cadia

FAQ

How does AVEVA PI System improve operations at an underground gold mine?
Newcrest Mining operates underground gold mines where maintaining physical sensors is complex due to restrictions on technician movement. AVEVA PI System provides a scalable architecture capable of running redundant servers and supporting model-driven virtual sensors. Teams benefit from continuous, reliable supervision, which secures mining production and reduces reliance on physical interventions underground. It is a digital transformation tailored to the unique constraints of underground mining.
How can mining throughput be increased by 650,000 tons in 6 months thanks to data?
The increase of 650,000 tons in the first six months at Newcrest Mining results from the real-time decision-making made possible by AVEVA PI System. Anomalies are detected immediately, operating adjustments are made without delay and teams synchronize extraction and processing operations with unprecedented precision. This rapid ramp-up demonstrates the immediate value of centralizing data in a capital-intensive industry such as gold mining.
How can crushing circuit shutdowns be reduced by 50% with AVEVA PI System?
The crushing circuit is a critical link in the mining chain: any shutdown affects downstream production. At Newcrest Mining, AVEVA PI System detects early signs of overload, blockage or wear, allowing operators to intervene before a failure occurs. This predictive strategy has reduced crusher shutdowns by 50%, directly transforming overall industrial performance and freeing up capacity without additional capacity investment.
What is a model-driven virtual sensor in modern mining?
A virtual sensor is a software calculation that estimates a physical quantity that is not directly measured, using other available data and physical or statistical models. At Newcrest Mining, AVEVA PI System supports these virtual sensors to compensate for missing or faulty physical sensors in the underground mine. This model-based approach enriches industrial monitoring and provides more complete coverage without multiplying investments in physical instrumentation.
Why is a redundant architecture critical for monitoring a mine?
A mine operates continuously, and any interruption in monitoring leads to decisions being made blind, with operational and safety risks. The AVEVA PI System deployed at Newcrest Mining runs several redundant servers, ensuring data availability even in the event of hardware failure. This robustness is essential for continuous process industries such as gold mining, where every hour of production represents considerable value.