Resource Center

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Part 4: Optimizing Heat Exchanger Design

Part 4: This interview with Hafez Bharami, a PhD chemical engineering in our heat exchanger R&D team.

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Delivering Innovation - with Technip, SES, WRE

Waymon Lofton, Mike Monteith and Harvey Welker provide compelling testimonials about how AspenTech is driving innovation across the estimating lifecycle.

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InProcess Saves Clients CAPEX and Improves Designs with Safety Solutions

A customer case study of the use of Aspen HYSYS, PSV in Aspen HYSYS, dynamic modeling and flare to achieve lower CAPEX solutions and rapidly conduct safety studies for refining.

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Estimating the Entire Lifecycle

This compelling interview with Technip and two other customers, provides a strong testimonial about has Aspen Economics improves work processes and business results, from process engineering to conceptual estimating to detailed estimating.

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Part 2: Optimizing Heat Exchanger Design

Part 2: Technical direction and vision. This interview with key developer Gabe Aurieoles, puts the face to the technical expertise and vision behind the EDR product.

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Part 1: Optimizing Heat Exchanger Design & Operation

Part 1: Improving the User Experience -  This interview with AspenTech developer Sam Neilsen, is a compelling piece to put the people behind the software with EDR.

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Part 3: Optimizing Heat Exchanger Design

Part 3; Interview with product manager Sujit Potdar communicates the value proposition to businesses and the product scope and vision of Aspen EDR.

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Aspen Mtell: What is an Agent?

Aspen Mtell is a prescriptive maintenance solution that uses agents to recognize asset failures earlier and with greater accuracy. Learn what an agent is, what they do, how they are created, and how they work—to safeguard equipment, people, and the environment.

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Transfer Learning with Aspen Mtell

Understand how Aspen Mtell’s autonomous agents share failure signatures across similar assets, enabling rapid time to value.

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Introduction to Aspen Mtell

Learn how Aspen Mtell prescriptive maintenance uses autonomous agents to predict equipment failures and avoid unplanned downtime, and prescribes detailed actions to mitigate or solve future problems.

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