FAQ Document

Aspen Hybrid Models™

Aspen Hybrid Models combine AI and first principles to deliver a comprehensive, accurate model more quickly without requiring significant expertise. AspenTech® is uniquely positioned to leverage over 40 years of domain expertise to make AI applicable to the process industries. This next generation of solutions will democratize the application of AI with Aspen Hybrid Models to optimally design, operate and maintain assets—online and at the edge.

FAQ Document

Aspen Hybrid Models™

Aspen Hybrid Models combine AI and first principles to deliver a comprehensive, accurate model more quickly without requiring significant expertise. Machine learning is used to create the model, leveraging simulation or plant data while using domain knowledge, including first principles and engineering constraints to build an enriched model without the need for modeling or AI expertise.

Live Webinar

APAC Webinar (English): Empower Data Science Teams to Solve Complex Reactor Problems with Aspen Mtell® and Aspen ProMV®

In this webinar, learn how APM applications help data science teams rapidly design and scale new solutions. See how complex and time-consuming tasks such as feature engineering, state classification and best model selection are greatly streamlined—without building customized tools.

Brochure

Aspen GDOT™ for Olefins

Close the gap between planning and actual operations with Aspen Generic Dynamic Optimization Technology (GDOT). Aspen GDOT™ aligns planning and scheduling objectives by dynamically optimizing and coordinating multiple process units in real time to ensure the best site-wide economic results, consistently and on a minute by minute basis. Download this brochure to discover how companies are minimizing product giveaway, increasing throughput, improving yields and much more!

On Demand Webinar

APAC Webinar (English): Latest Innovations in Advanced Process Control for Energy and Chemicals Industry

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.

On Demand Webinar

APAC Webinar (English): Achieve Dynamic Optimization and Sustainable Operations with Aspen GDOT™

Refiners and chemical manufacturers continue to struggle with margin leakage due to gaps between planning and operations. Innovations in modelling and optimization technology now enable you to coordinate and optimize multiple process units in real time to ensure the best site-wide economic benefits—and do it on a consistent, minute-by-minute basis.

On Demand Webinar

SIMACRO社との共同ウェビナー:デジタルツインにより、化学産業でのオペレーショナルエクセレンスを新たなレベルへ

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。

Case Study

エフピコ:デジタルサプライチェーンを 活用して排出と廃棄物を削減し、 持続可能性目標を達成

エフピコは、日本最大の食品容器メーカーであると同時に、流通サービスプロバイダーとして食品流通関連の店舗(スーパーマーケットなど)に各種製品を納入しています。また、使用済み食品容器やペット ボトルのリサイクルを行う環境先進企業でもあります。

Case Study

How Braskem Idesa Increased Reactor Uptime by Over 20% Using Existing Data and Resources

In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.

Case Study

Energy Company Drives Innovation in Predictive Maintenance via Digital Transformation Program

When developing its highly successful digital transformation program, a leading European energy company turned to Aspen Mtell® for predictive maintenance. After deploying Aspen Mtell on more than 50 large assets in a refinery, the company began testing the technology at a wind farm and had five early successes in predicting gear box failures.

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