Mandated to aggressively reduce emissions, today’s refining and chemical companies must also find new ways to improve energy efficiency and—in turn—margins. The sooner owner/operators uncover opportunities for improvement, the faster they can advance operational excellence goals.

Advanced simulation tools are key to overcoming the challenges of the green hydrogen economy. Process engineers who leverage Aspen Plus® simulation software can optimize hydrogen production processes, boost efficiency and reduce costs.

Process safety remains a priority for companies, but balancing the design of safety systems to withstand risks against higher CAPEX costs is challenging. Accurate, efficient modeling of depressurization is key, especially in carbon-capture processes.

AspenTech Operational Technology on AWS Cloud with Managed Hosting Flexibility

In today's dynamic energy landscape, utilities face increasing pressure to optimize operations, enhance grid reliability and improve safety and security. This webinar will showcase how AspenTech’s robust Supervisory Control and Data Acquisition (SCADA) solution empowers your organization to achieve these critical goals.

Discover AspenTech Inmation, a cutting-edge industrial data fabric designed to optimize data-driven operations.

AspenTech's Dr. Paige Morse explains how the Middle East is leveraging innovation, digital transformation and strategic policies to drive sustainable economic growth.

Heiko Claussen, AspenTech Co-Chief Technology Officer, discusses the role of Industrial AI in solving the data scientist shortage.

Optimizing chemical processes requires input from multiple disciplines – engineering, costing, safety and environmental. Evaluating these factors early in the design lifecycle significantly improves the quality of the design and reduces time spent collaborating across teams.

Building a facies model that can incorporate complex facies and environments is always a challenge. Read how the unique Hierarchical Truncated Plurigaussian Simulation in Aspen RMS helps create stochastic facies models that simplify complex geological variables while delivering optimal performance.