This ARC report discusses how AspenTech's acquisition of Inmation strengthens its ability to help customers realize maximum business value from industrial data.

Companies today are challenged to leverage alternative raw materials for greener operations.

Distributed energy resources (DERs) pose challenges and opportunities for utilities. Power quality and voltage issues, for instance, can threaten grid reliability and damage transformers, capacitors and other infrastructure. DERs also benefit utilities by leveraging customer investments to achieve sustainability goals, reduce peak demand and avoid the need for expensive grid upgrades.

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.

OCP Ecuador is a midstream oil and gas company that transports, stores and ships crude oil. With assets installed in remote locations along its 485-kilometer pipeline, the company needed a maintenance solution that would enable them to predict and prevent equipment failures before they occurred. With Aspen Mtell® prescriptive maintenance, the company can now continuously monitor its critical assets for impending failure, using both process and mechanical data.

Carbon capture, utilization and storage projects are growing at record speed, resulting in an increasing need for subsurface technologies that can unlock fast time-to-results throughout all the steps of the project.

Aggregate event and batch process data for quality assurance and traceability.

The concept of digital twins has been around since 1960s, but the term was first introduced nearly a decade ago by NASA's John Vickers. Until very recently, adoption of digital twins has been fairly inconsistent but acceptance looks to be accelerating with recent market shifts. Today’s users are seeing exponential benefits by deploying multiple digital twins across sites. The next wave of digitalization innovations, powered by digital twins and AI, is creating new levels of agility and flexibility, paving the way to autonomous operations.

Digitalization in industrial facilities is critical to achieving new levels of safety, sustainability, and profitability—and AI is a key enabler for that transformation.

Get early and accurate warnings for process health, providing insights to prevent off-spec production, maintain efficiency and rapidly optimize operations.