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。

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。

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

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.

Are you experiencing unplanned equipment failures and higher than expected warranty and program costs? A critical step in the IoT journey is using historical and real-time data to forecast when equipment could fail through early identification of anomalies and fault prediction. During this webinar, Frederic Bastien, VP, Product Management with AspenTech, will discuss how advanced IoT models predict equipment failures and provide the following benefits:

In the current economic environment, gas processors are going the extra mile to reduce operating costs and increase throughput while maintaining product quality. This means driving the gas plant to its limits, avoiding CAPEX in debottlenecking or upgrades, cutting operating costs and quickly developing complete designs.

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。

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.

Industry is adopting AI/ML tools to find new ways to execute, become more efficient and increase value from assets in response to market changes.

Why APC should be implemented on secondary units. Includes sections on environmental emissions control, fuel gas networks control and optimization, sulphur complex control and steam networks control.