The first roll out of the software will occur at Borealis' production site in Stenungsund, Sweden
Borealis, a specialist provider of innovative solutions in the fields of polyolefins, base chemicals and fertilisers, has selected Aspen Mtell software produced by Aspen Technology, an asset optimisation software company.
Aspen Mtell is part of the aspenONE asset performance management (APM) software suite combining big data, machine learning and process knowledge expertise to maximise performance across the design, operations and maintenance asset lifecycle.
Aspen Mtell mines historical and real-time operational and maintenance data to discover the precise failure signatures that precede asset degradation and breakdowns, predict future failures and prescribe detailed actions to mitigate or solve problems.
Martijn van Koten, Executive VP of Operations at Borealis, said: “Aspen Mtell predictive maintenance software’s ease of implementation will allow us to develop data analytics, including pattern recognition and early anomaly detection in all operating functions, leading to increased performance in safety, quality, reliability and overall improved performance in manufacturing.
“With significantly earlier warning of asset degradation provided by Aspen Mtell software, we will have the time to work collaboratively to mitigate the losses of unplanned downtime and to minimize disruptions to our customers.”
The company’s selection of Aspen Mtell was based on its successful performance in a competitive predictive maintenance “proof of concept” project for a business-critical compressor on site.
Predictive maintenance is a key initiative for Borealis and this initial project effectively demonstrated the tangible benefit of automating such data analysis and knowledge work. The decision to move forward with Aspen Mtell was further supported by the rapid speed of deployment demonstrated, accurate early detection of asset degradation and the option to scale the solution system-wide.
Through asset performance management — enabled by a blend of historical and real-time process, asset and enterprise data — organisations can transform asset maintenance into optimum reliability, extending the life of assets and maximising the return on capital employed.
Antonio Pietri, President and CEO at AspenTech, said: “Borealis’ implementation of Aspen Mtell builds on its investment in AspenTech advanced solutions to support its overall digital strategy. These technologies intelligently extract knowledge and value from the multiple large data sources available to end users to drive asset optimization.”
“Adding Aspen Mtell will give Borealis predictive and prescriptive maintenance capabilities that will drive optimum reliability, extending the life of assets and maximizing the return on capital.”