Carbon Capture and Storage (CCS) is at the forefront of sustainability initiatives. As the demand for storage sites increases, there is a pressing need for subsurface technologies that accelerate project timelines—from permitting to monitoring.

To meet increasing demand from downstream polymer plants and optimize its 3600 KTA ethylene complex, Borouge implemented Aspen GDOT for dynamic real-time optimization.

As today’s operations grow in complexity, they can experience equally complex problems that threaten performance. But how can you quickly identify and resolve issues while keeping an eye on performance?

For Consumers Energy, Michigan’s largest electric and natural gas provider, the energy transition is well underway. In fact, with a Clean Energy Plan that provides a blueprint for an aggressive buildout of renewables, Consumers Energy is fully embracing the transition while remaining committed to providing reliable energy to its customers, even as extreme weather events become more frequent.

Watch Dr. Nina Schwalb, Vice President of AspenTech DataWorks, in her first-ever AspenTech webinar as she discusses industrial data management and AspenTech Inmation.

In the fast-paced world of specialty chemicals and polymers, rapid design and development are critical to stay ahead. Process simulation technology has evolved to streamline these processes, delivering accelerated product launches and efficient scale-ups.

Watch this on-demand webinar to learn how you can integrate industrial data from diverse sources, including Microsoft Azure cloud, featuring experts from ARC, Microsoft and AspenTech®.

The chemical supply chain landscape has undergone unprecedented challenges in recent years, marked by new levels of complexity, disruptions, and pressure to meet customer demands. The specialty chemicals industry faces the unique challenge of producing lower volumes of high-value products with specific requirements especially in the area of supply chain management.

In today's rapidly evolving industries with ever-changing dynamics, maintaining operational efficiency and reliability is crucial. Digitalization offers insights into facility capacities and capabilities across varying scenarios—short and long term. By understanding the potential effects of equipment downtime or changes in production plans, organizations can proactively manage risks and optimize resource allocation.

What if you could unlock value from your data, accelerate digital transformation initiatives and also leverage the power of an AI-powered analytics platform? An operational data ecosystem is critical to properly ingesting, aggregating and contextualizing disparate types of industrial data needed in today's complex manufacturing environments.