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 profita...

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

Discover how an integrated oil and gas company partnered with AspenTech in their digital transformation journey to address challenges within their most crucial oil and gas central processing fields.

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 maintenan...

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 imple...

Over the past 40 years, maintenance best practices have greatly improved, but equipment continues to break down. So how can asset reliability be improved? With Aspen Mtell prescriptive maintenance sof...

As it relates to asset reliability, Failure Modes and Effect Analysis (FMEA) is a process to identify potential failures in a system as well as their causes and effects. By combining predictive mainte...

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

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

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...

As part of the V14 software release, Mtell is equipped with the capability to integrate external models.

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 Mt...

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 variable...

Discover how an integrated oil and gas company partnered with AspenTech in their digital transformation journey to address challenges within their most crucial oil and gas central processing fields.

In today's complex and ever-changing technological landscape, integration between Information Technology (IT) and Operational Technology (OT) is not just a buzzword; it's a necessity.