Petroleum refining planning and scheduling models created using Aspen PIMS™ and Aspen Petroleum Scheduler are essential for making key decisions regarding feedstock selection and refinery operating conditions that affect refining profit margins. Engineering simulations in Aspen HYSYS® Petroleum Refining can help improve the accuracy of the planning and scheduling models to increase refining profit margins. View this on-demand webinar to gain an understanding of how to improve petroleum refining margins with better collaboration among Engineering, Planning, and Scheduling groups.

Neste Webinar, a especialista da AspenTech Fúlvia Borges vai demonstrar como informações para tomadas de decisão embasadas em dados e usando Inteligência Artificial e Machine Learning podem mitigar problemas de manutenção e melhorar produtividade.

このセッションは全４回（固体基礎、晶析、ろ過、乾燥）からなるバッチ固体プロセス全体最適化の第１回目のセッションです。このセッションではAspen Plusで固体を取り扱うための基本的な設定や、固体特有の物性である粒径分布や含水率の設定方法について紹介します。 Aspen Plusの固体モデルにより、プロセス最適化の範囲を従来の気液連続プロセスから固体バッチプロセスまで拡大することができ、固体プロセスを含むプロセス全体の最適化が可能となります。

How can you use historical data to improve batch quality, increase yield and reduce costs? Join Dr. John MacGregor, a foremost thought leader on multivariate analysis and founder of ProSensus, as he shares how Aspen ProMV helps you solve the most complex manufacturing problems. Discover key capabilities to help you:

YPFB plays a vital role in the exportation of gas in South America. When production started to decline in two of Bolivia’s major natural gas fields, YPFB needed to overcome this challenge and still meet contractual obligations.

Join Frédéric Bastien, VP of AIoT Technology & Product Management, and Adi Pendyala, Senior Director of AIoT Product Marketing, both with AspenTech®, as they explain how the AIoT Hub enables data integration and mobility from sensors, historians and other data sources across the enterprise – from the edge to the cloud - to accelerate the delivery of enterprise-wide visualizations, actionable insights and AI-enabled applications for capital-intensive industries, like yours.

The increasing pressure to reduce plant operating costs and maximize profitability can cause anxiety for any plant manager or process engineer. During this one-hour webinar, learn how SABIC took a collaborative approach to solving complex plant issues by using process models to support plant manufacturing and operations teams. By utilizing Aspen Plus® with Aspen Simulation Workbook (ASW), they enabled plant engineers and operators to benefit from the knowledge and insight gained using AspenTech software.

Learn how Chevron confidently kept their platform’s flare loadings under capacity limits using a staggered BDV opening sequence to eliminate the need for an estimated $30M USD in flare system CAPEX.

A breakthrough innovation, Aspen Hybrid Models™ help chemical companies quickly develop comprehensive, accurate models to address the most complex operational challenges. With the release of aspenONE® V12, Aspen Hybrid Models leverage the power of AI without engineers requiring data science or machine learning expertise—truly democratizing the application of Industrial AI.

As predictive and prescriptive analytics become better understood across industries, companies are putting new focus on maintenance maturity and the use of digital technologies. They’re realizing that having a robust maintenance program means leveraging APM technology—and their data—to the fullest advantage.