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Hundreds of deployments globally

MAXTA^TM

MAXTA^TM

Value chain optimisation powered by digital twin AI

Value chain optimisation powered by digital twin AI

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FORESTALL^®

FORESTALL^®

Applied dynamic time warping and machine learning to predict pump pressure spikes.

Applied dynamic time warping and machine learning to predict pump pressure spikes.

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FORESTALL^®

FORESTALL^®

Algorithm to predict SAG mill overloads resulting in downtime (real-time warnings using real-time plant PI data).

Algorithm to predict SAG mill overloads resulting in downtime (real-time warnings using real-time plant PI data).

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MAXTA^TM

MAXTA^TM

Predict plant performance using historical blended stockpile data.

Predict plant performance using historical blended stockpile data.

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MAXTA^TM

MAXTA^TM

Big data mine to mill study identified opportunities to optimise drill and blast to improve SAG mill performance.

Big data mine to mill study identified opportunities to optimise drill and blast to improve SAG mill performance.

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MAXTA^TM

MAXTA^TM

Optimise primary crusher feed rate and start-up speed for variable weather, fragmentation and ore type.

Optimise primary crusher feed rate and start-up speed for variable weather, fragmentation and ore type.

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FRAGx^®

FRAGx^®

Automated drawpoint fragmentation assessment using machine learning AI.

Automated drawpoint fragmentation assessment using machine learning AI.

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MAXTA^TM

MAXTA^TM

Maximised recovery using digital twin simulation and optimisation of processing plant set points.

Maximised recovery using digital twin simulation and optimisation of processing plant set points.

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MAXTA^TM

MAXTA^TM

10-15% increase in SAG mill throughput achieved through digital twin drill & blast simulation.

10-15% increase in SAG mill throughput achieved through digital twin drill & blast simulation.

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MAXTA^TM

MAXTA^TM

Minimise tailings grade using digital twin processing plant set point optimisation.

Minimise tailings grade using digital twin processing plant set point optimisation.

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MAXTA^TM

MAXTA^TM

Machine learning model for mill throughput deployed into block model to reduce mill feed variability.

Machine learning model for mill throughput deployed into block model to reduce mill feed variability.

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MAXTA^TM

MAXTA^TM

Minimise tailings grade by providing 12 hour advance warning of high tailings grade.

Minimise tailings grade by providing 12 hour advance warning of high tailings grade.

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MAXTA^TM

MAXTA^TM

Two years of historical data ingested into MAXTA to identify low recovery blocks.

Two years of historical data ingested into MAXTA to identify low recovery blocks.

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FORESTALL^®

FORESTALL^®

Machine health algorithms for Weir’s Synertrex IoT platform.

Machine health algorithms for Weir’s Synertrex IoT platform.

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FORESTALL^®

FORESTALL^®

Machine learning algorithm to provide plant operator an hour warning for SAG mill overload.

Machine learning algorithm to provide plant operator an hour warning for SAG mill overload.

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FORESTALL^®

FORESTALL^®

Prevent autoclave downtime by providing low temperature warnings 2 hours in advance of event.

Prevent autoclave downtime by providing low temperature warnings 2 hours in advance of event.

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FORESTALL^®

FORESTALL^®

Conveyor health monitoring (suite of three algorithms to capture multiple failure mechanisms)

Conveyor health monitoring (suite of three algorithms to capture multiple failure mechanisms)

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FORESTALL^®

FORESTALL^®

Mill motor health monitoring (suite of three algorithms to capture multiple failure mechanisms)

Mill motor health monitoring (suite of three algorithms to capture multiple failure mechanisms)

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News & Case Studies

optimisation recovery

How to integrate mine planning across the value chain

How to integrate mine planning across the value chain. In collaboration with Maptek, PETRA . Read more...
recovery minerals processing

MAXTA predicts gold recovery at Ban Houayxai

MAXTA digital twin model was deployed at PastAust’s Ban Houayxai gold-silver operation in northern Laos to predict gold recovery at Ban Houayxai. Read more...
Geotechnical engineering machine learning

Can machine learning predict tailings dam failure?

Mining industry participants of PETRA co-hosted Austmine Machine Learning Workshop vote for the application of machine learning to tailings dams. Read more...
Blasting Mine-to-Mill

World’s first digital twin for mine value chain optimisation

Last month at Future of Mining 2018, PETRA Managing Director, Penny Stewart demonstrated the world's . Read more...
Big data Comminution

Algorithms – Mining’s crystal ball

This article was first published by Mining Magazine, 3 June 2017 and is reproduced here with . Read more...
Big data minerals processing

Newcrest-PETRA collaboration on big data delivers results

In his address to the Sydney Mining Club today, Newcrest CEO Sandeep Biswas talks . Read more...

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