Refinery reactors are critical units of any refinery, affecting both the quality and yield of products. Kinetic simulation models of reactor units help refineries get the most from these complex processes. Aspen HYSYS offers a complete suite of kinetic models for all major refinery reactor units, which has provided refineries worldwide with benefits worth millions of dollars from operational improvements. Learn how you can leverage the latest innovations in Aspen HYSYS to improve your refinery operations.

To realize the maximum potential for optimization, process plant design must simultaneously address multiple factors. The most successful organizations bring together people from across the business to optimize design and operations. Cross-disciplinary teamwork that takes a big-picture, integrated approach to optimization delivers superior business results, including reduced CAPEX and OPEX, faster time to market, greater energy efficiency and higher profit margins.

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

The impact of COVID-19 has accelerated digitalisation for the process industry. In this exclusive interview with Pipeline Oil & Gas News, Antonio Pietri, President and CEO of AspenTech®, discusses how this acceleration of digitalisation will lead to the creation of a Self-Optimizing Plant.

In this Pharmaceutical podcast, host Dave Howell from Process Industry Informer discusses with AspenTech's Lawrence Clark, VP and Richard Porter, Director, the latest technologies and future insights for the process manufacturing industries.

Refineries and petrochemical plants are looking for ways to reduce margin leakage that occurs between production planning, scheduling and actual operations. AspenTech’s dynamic optimization technology, Aspen GDOT™, along with its first-in-class unified Production Optimization environment, Aspen Unified™, help align plant operations with changing economic conditions to optimize production in real time.

Learn how Borealis, a leading provider of innovative solutions in the fields of polyolefins, base chemicals and fertilizers, implemented Aspen PIMS-AO to support the optimization team and bring about better decision-making for more profitable results. This case study explores how Borealis achieved dramatically faster run time, employed nonlinear modeling, deployed planning models to a centralized, virtual environment, and eased software deployment time and maintenance with more efficient use of hardware.

In this video, learn how Aspen Mtell predictive maintenance enables LUKOIL to make decisions faster and increase reliability across the enterprise.

En este vídeo, descubra cómo el mantenimiento predictivo de Aspen Mtell permite a LUKOIL tomar decisiones más rápido y aumentar la confiabilidad en toda la empresa.

In this podcast, Lee Nichols, Editor-in-Chief of Hydrocarbon Processing and Ron Beck, Marketing Strategy Director at Aspentech discuss HPI's digital transformation journey, the future of the self-optimizing plant and how digital technologies will lead to more efficient operations.