After an electrical storm stopped gas production at one of its plants, SABIC executives and reliability engineers turned to Aspen Fidelis Reliability to calculate the probability of it—or a similarly...

Making big capital project management decisions shouldn’t be left to subjective perceptions or over-simplified analysis. Decision-makers need quantifiable, trustworthy answers to make the most...

See how Aspen Fidelis Reliability enables any engineer in any department to identify the cause of lost operational availability and justify important decisions.

The upstream industry is facing the daunting challenge of producing secure, sustainable and affordable energy for the world’s current and future needs.

In this customer success story, learn how MOL recently added Aspen Mtell® software from the AspenONE® Asset Performance Management (APM) software suite to its portfolio of AspenTech solutions to drive...

Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to...

Aspen Mtell uses predictive maintenance technology to deliver the earliest, most accurate warning of equipment failures—enabling companies to increase safety, improve asset performance, and reduce...

Aspen Mtell® combines the power of data and technology to enable reliability and maintenance engineers to monitor the performance of assets, providing real-time visibility into asset health and...

For industrial organizations, equipment downtime negatively impacts operational efficiency and productivity which can lead to schedule delays, lower revenues and increased pressures on workers...

Thanks to advances in AI, Automation and Data, maintenance and reliability managers are turning to new technologies to increase reliability and availability of assets.

With assets installed in remote locations, OCP Ecuador needed a maintenance solution that would enable them to predict and prevent equipment failures before they occurred. Using prescriptive...

Veracel is an agro-industrial enterprise with an annual production of 1.1 million tons of Kraft cellulose. In 2020 they partnered with AspenTech to implement Aspen Mtell on their critical assets to...

Machine learning technology can now predict equipment failures weeks in advance. But how do you decide when and how to perform the repair to maximize productivity and minimize risk? Learn how Aspen...

The design and debottleneck of plants often require multiple iterations of engineering and capital expenditure (CAPEX) analysis. No matter how well an asset is designed, once operational, new...

Plant engineers often face disjointed workflows and a lack of critical information to make quick, informed decisions when troubleshooting equipment issues. Now, with the Alert Manager functionality...

The upstream industry is facing the daunting challenge of producing secure, sustainable and affordable energy for the world’s current and future needs.