The COVID-19 pandemic has caused acute disruptions the world over. The energy sector, in particular, has been severely impacted raising questions like:

During this webinar, Dr Rahul Bindlish from the Dow Chemical Company highlights how the company is realizing results that make an impact throughout the organization with the implementation of real time optimization solutions and other process control techniques.

Improving reactor uptime is an ongoing challenge for most chemical and petrochemical organizations. During this webinar, learn how Braskem Idesa process engineers leveraged the multivariate analysis of Aspen ProMV™ to significantly extend the time between reactor cleanings and reduce fouling 100%.

プロセス産業においてもデジタルツインの活用に取り組む企業が増えています。デジタルツイン構築のためには、現実プラントでの変化をリアルタイムで精度よくシミュレーションできることが重要になります。このセッションでは、現実プラントとシミュレーションの挙動をリアルタイムで一致させるためにAspen PlusのEO (Equation-oriented)モデリングがどのように役立つのかをご紹介いたします。

Braskem, the largest petrochemical company in Latin America, has independently implemented several APC projects on ethylene units across their organization. Join Livia Tizzo, Process Control and Automation Engineer at Braskem, to see how Adaptive Process Control in Aspen DMC3 was used to improve their processes.

Another opportunity to learn from “Dr. Distillation” how refineries can better operate their VDUs, a challenging and critical unit for most plants. With over 35 years of experience, Dr. Prakash Karpe (retired from U.S. refiner Phillips 66) has perfected the skill of leveraging advanced process simulation technology to implement practical improvements to refinery operation — saving millions of dollars. Dr. Karpe will share best practices on improving VDU operations with Aspen HYSYS®.

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.

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。

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。

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