On Demand Webinar

Operations-Oriented Columns Troubleshooting for Both Aspen Plus and Aspen HYSYS

Distillation columns are troublesome units, representing one of the biggest operational challenges in the processing industry — primarily because internal conditions are dynamic and there is limited operational insight into their behavior. Offline and online advanced process simulation offers engineers and operators powerful process engineering capabilities for column analysis. With operations-oriented columns troubleshooting, you can gain insights into key processes and enable faster problem-solving.

On Demand Webinar

On-Demand Webinar: Connecting the Dots from Asset Performance Management to Profitability

How are today’s industry executives maximizing the reliability and value of their assets? With asset performance management powered by the industrial internet of things and machine learning, companies can leverage both equipment and process data to extend the life of their assets and achieve optimum reliability. In this on-demand webinar presented by ARC Advisory Group Vice President Ralph Rio and AspenTech Senior VP John Hague, you’ll learn how APM 2.0 is enabling companies to break down the wall between operations and maintenance and achieve a higher return on assets.

On Demand Webinar

Upstream’s Digital Future: Using Data Analytics to Drive Down Costs

Based on our recent survey, 40% of upstream companies are currently using data analytics to improve operational effectiveness. Hear Ian Lewis and Justin Jacobs from Petroleum Economist present insights from this survey of upstream industry executives during this on-demand webinar. The webinar also includes case study examples of upstream companies reducing production costs using data analytics. Find out how predictive modeling and machine learning are revolutionizing oil and gas asset economics and reducing production costs. Don’t get left behind—watch now!

On Demand Webinar

Model Distillation Unit Operations with a Rate-based Approach

Frustrated designing your column or understanding how process changes will affect your distillation unit operations? Many non-ideal distillation systems cannot be modeled accurately with equilibrium-based modeling. Rate-based modeling provides a more rigorous modeling approach for complex systems. Once tuned, rate-based models can yield better predictions at extrapolated operation conditions.

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