As scheduling has become more sophisticated, maintenance processes have evolved and improved. However, as Michael Saucier, Product Manager at AspenTech discusses, recent studies indicate that most equipment fails on a ‘random’ basis no matter how many assets are inspected. In other words, failures cannot necessarily be correlated to how maintenance was performed.

AspenTech Q&A: Why the Democratization of Machine Learning Matters

Are People The Biggest Challenge In Digital Transformations?

How data, machine learning can power energy sector

Operational excellence supports digital transformation

It is critical for combined cycle power plants to control costs and increase efficiency. In order to accomplish these goals, these plants must make every effort to avoid costly shutdowns, including implementing the newest innovative technologies. This white paper details how combined cycle power plants can leverage the lessons learned from other industries to capture more value from capital equipment, thereby improving operations overall.

Today’s refineries are faced with various challenges when it comes to blending, while striving to maximize margins and meet market and regulatory requirements such as IMO 2020. During this presentation, you will learn how multi-period, non-linear blending helps refiners reduce quality giveaway and increase profitability.

Packaging Business SCG Selects AspenTech Software to Achieve Operational Excellence

The FT Digital Energy Summit in Houston explored how advanced technologies are turning big data into big profits.

Failures that cause unplanned downtime result in emergency repair costs up to 5X higher than planned maintenance expenses. Download this infographic to see the savings that can be achieved using Aspen Mtell prescriptive maintenance for hyper compressor reliability.