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。

YPFB es la petrolera nacional de Bolivia y es un productor clave en la producción de gas en Sudamérica. Su producción empezó a disminuir drásticamente en dos de sus principales campos de gas en Bolivia por lo tanto YPFB necesitaba superar este problema para cumplir con sus obligaciones contractuales. En este webinar aprenda cómo utilizaron un gemelo digital de Aspen HYSYS para solucionar los cuellos de botella de su planta, ductos y estaciones de compresión lo que les permitió:

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。

Refineries and olefin plants are constantly challenged by the gap between their plan and actual plant performance, leaving millions of dollars per year in lost margins on the table. ARC’s Contributing Analyst Peter Reynolds discusses this challenge and why it presents a big opportunity for refineries and chemical companies. In addition, AspenTech’s Henrik Terndrup, Sr. Director of Product Management, will explain how dynamic optimization technology - Aspen GDOT – is helping more than 15 companies meet or even exceed planned targets. View this on-demand webinar to discover how your refinery or olefins facility can improve margins by vertically integrating planning, scheduling and advanced process control in a closed loop.

You’ve heard of Prescriptive Maintenance (RxM), but how can you leverage it to drive real value in your organization? In this on-demand webinar, AspenTech’s Ryan Conger demonstrates how data-driven insights from AI and machine learning mitigate maintenance issues and improve productivity. Through a series of case studies, Ryan shows how Prescriptive Maintenance is being used to:

エネルギー産業や化学企業が経済の脱炭素化やネットゼロカーボン目標に向けて取り組んでいる中、炭素回収技術の状況は進化しています。

先進的な化学企業は、デジタルツインのような高度なデジタル技術を活用することで、持続可能なビジネスオペレーションを実現し、新たなレベルのオペレーショナルエクセレンスを達成しています。

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

In today’s environment, Energy and Chemicals industrial organizations need to operate with an agile supply chain, and close the gap between planning and operations will enable them to stay ahead. Industry-leading Advanced Process Control (APC) technology will lay a strong foundation for digitalization and enable enterprises to achieve new levels of agility and production excellence.

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.