Learn how our APM software leverages advanced technologies such as AI and machine learning to predict equipment failure and process degradation.
The asset templates within Aspen Mtell enable companies to easily and quickly scale and deploy prescriptive maintenance solutions. Using pre-populated templates, you can set up sensor groups and quick...
Interactive InfographicLeading 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...
White PaperPlant 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 wi...
VideoFor chemical and petrochemical producers, reducing emissions and minimizing disruptions to process requires analyzing and monitoring vast amounts of disparate process data. Learn how Petrocuyo, Braske...
VideoORYX GTL Limited is a gas-to-liquids (GTL) diesel and naphtha producer located in Doha, Qatar. The company is committed to reducing its carbon production through the minimization of flaring. By implem...
Case StudyProcess industries like bulk chemicals, specialty chemicals and pharmaceuticals strive to optimize production processes with existing resources and data to remain competitive and profitable. By implem...
VideoAspen Mtell prescriptive maintenance software can predict breakdowns weeks in advance and help protect machines, business investments, the environment, and most importantly, people.
VideoSee how Aspen Fidelis enables any engineer in any department to identify the cause of lost operational availability and justify important decisions.
VideoResults That Speak For Themselves