Adaptive Process Control is primarily recognized for streamlining APC maintenance, however it is also very useful in new controller development. Eni shares their story on how they used Adaptive Process Control to build new APC applications faster and more efficiently than traditional methods, allowing them to achieve stable behavior in the presence of large model mismatch. "Seed" models were used to rapidly deploy controllers and accrue benefits immediately, all while minimizing disruption to operations.

In today’s volatile environment, refiners must shift operations to adapt to ever-changing product demands – and do it with an increasingly remote workforce. Plant digital twin technology provides operational insights so engineers can predict potential disruptions from anywhere.

The Dow Chemical Company has been leveraging Aspen Plant SchedulerTM to improve customer service and maximize asset utilization for over 20 years. Dow’s internal center of excellence has found Aspen Plant Scheduler to be well suited to address the complex schedule requirements of many of its manufacturing sites. In this presentation, Dow will review how Aspen Plant Scheduler is enabling it to make better scheduling decisions for both its Coatings and Polyurethanes Businesses, optimizing raw material, production and loading rack scheduling against complex constraints and varying demand. Dow has deployed Aspen Plant Scheduler to over 50 plants and has plans to for additional global rollouts. Come hear how Dow Chemical leverages Aspen Plant Scheduler to improve its scheduling capability in support of changing market and customer expectations.

Today, enterprises are challenged with ensuring quick business transitions to keep up with changing demands in a volatile and uncertain markets.

BLOWDOWN Technology, developed by Dr. Graham Saville and Professor Stephen Richardson of Imperial College London, is now available in Aspen HYSYS, creating the optimal tool for completing depressurization projects. Join technical experts from AspenTech and BLOWDOWN Technology consultants to discover how this technology can ensure the accurate design of depressurization systems that’s vital for safe operations.

Early returns from an ARC Advisory Group survey indicate 45% of respondents require 6 months or more to scale APM solutions across similar sites, while 54% can scale APM across different assets at the same site—but only with tremendous effort and resources. Today’s asset performance management (APM) solutions drive big increases in reliability and profitability, but how well can you scale those benefits across multiple assets, or even multiple sites? Join us to learn how some of today’s industry leaders are using AI and machine learning—combined with their existing data and resources—to overcome skillset or usability hurdles and rapidly scale APM solutions across their organizations.

While most chemical companies have sustainability initiatives in place with varying reliance on digital technologies to achieve these goals, challenges remain. What are the key enablers to eliminate emissions and waste, extend material use and regenerate natural systems? How do new innovations accelerate this effort?

Aspen Polymersを活用し逐次重合モデルを構築できます。実験データから反応速度パラメータを回帰し、バッチ/連続重合シミュレーションでポリマー物性を予測します。 モデルを活用することで、実験回数の削減、運転条件の最適化検討が可能となります。

In this webinar, Michael Strobel, Sr. Director of Product Management at Aspen Technology, Inc., along with leading industry consultant David Hart, discuss how EPCs firms can win new CAPEX and OPEX projects while managing risk and increasing profitability in today’s lump-sum, turn-key environment. Learn how you can differentiate your services by smartly reducing CAPEX for your customers and create new sources of revenue for your firm by improving reliability during operations.

Aspen Polymersを活用しフリーラジカル共重合モデルを構築できます。実験データから反応速度パラメータを回帰し、バッチ/連続重合シミュレーションでポリマー物性を予測します。 モデルを活用することで、実験回数の削減、バッチサイクルの短縮検討が可能となります。