This report, which was co-written with Robert Socolow, Professor Emeritus, Princeton University, addresses the findings of a recent survey conducted to better understand the strategies and actions taken by industry leaders as they plan for a sustainable future.

In this case study, discover how Sardeolica used prescriptive maintenance to achieve maximum value and expects to reduce maintenance costs up to 10 percent per year.

Warnings and alerts are not new in the industrial world as some predictive alerts can provide months of warning of catastrophic events. The challenge is how to prioritize and respond to these predictive alerts in a more systematic manner that benefits all areas of an organization.

During the webinar, Indian refining company, Bharat Petroleum Corporation Limited (BPCL) shared how they gained up to $0.5/bbl of crude by deploying real-time digital twins to optimize its CDU operations with Aspen HYSYS and BPMARRK, BPCL’s patented technology for real-time crude assaying.

Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to implement prescriptive maintenance solution, companies can improve the accuracy of failure detection, increase the advance notification period of asset downtime events and reduce maintenance spend.

Large Specialty Chemical Company develops advanced KPI production partial portal tool using Aspen InfoPlus.21® tools, building upon their extensive Aspen InfoPlus.21® installation.

Cabot standardized on Aspen InfoPlus.21, part of the Aspen AIoT Hub™, across all manufacturing sites, improving product quality by 30% and reducing product variability by 20%.

Learn why this world-class specialty chemical producer turned to the Aspen AIoT Hub to improve manufacturing efficiency and increase annual production.

Read this case study to learn how ORYX GTL deployed two Aspen AIoT Hub products—Aspen InfoPlus.21® (IP.21) and AspenONE Process Explorer™ (A1PE)—as the underpinning of their digitalization journey.

Conozca cómo una importante compañía de energía en Sudamérica utiliza Aspen Exchanger Design & Rating™ y Aspen HYSYS® para modelar y simular el circuito de reboiler y la torre regeneradora. El modelo de Digital Twin identificó una inestabilidad hidráulica en el sistema termosifónico y le permitió ahorrar $6M USD anuales, evitar daños de la torre y sistemas asociados y mucho más.