AspenTech’s Digital Grid Management (DGM) team has supported a large utility in the Northwestern United States since 2006 to help provide reliable, safe, and advanced real-time operations of an electric grid serving over 1.9 million people with over 21MW-hours generated and delivered across 1,250 miles of transmission line and 28,800 miles of distribution line.

Understanding key reservoir properties like porosity, permeability, and their interrelationships is crucial for accessing CO₂ injectivity and storage potential in carbon capture and storage (CCS) projects. Traditional regression techniques often fall short in complex reservoirs, where permeability can vary widely across multiple lithologies.

This presentation by Integrove highlights how AspenTech’s AI-driven solutions are transforming the Metals & Mining industry. Discover how advanced tools like prescriptive maintenance optimize equipment reliability, reduce downtime, and enhance operational efficiency.

Implementing Industrial AI offers significant opportunities for operational efficiency and cost savings, but it can also present challenges. This article outlines six best practices for innovators.

AspenTech Industrial AI™ is a game-changing technology for the process industries, combining the speed and power of AI algorithms with the efficiency and parameters of real-world domain expertise. Our purpose-built AI solutions bring together data insights, engineering fundamentals, asset knowledge and industry expertise, enabling companies to adapt and respond quicker to ever-changing business needs.

AspenTech® is rolling out prepopulated, specific asset templates to help new and existing Aspen Mtell users accelerate Agent development, deployment and scaling for faster overall prescriptive maintenance implementation across metals and mining operations.

AspenTech® introduces an Industrial AI-powered virtual advisor that offers a new approach to interacting with APC controllers, enabling real-time evaluation of operating scenarios and delivering actionable guidance 24x7.

Energy and chemical companies continue to look for new ways to improve operational efficiency, enhance collaboration and boost profitability. However, many still rely on manual tools like Excel for scheduling, which often leads to lower margins, inefficiencies and inaccuracies.

SVP Product Management Vikas Dhole discusses why Industrial AI was at the forefront of discussion at the world’s largest energy conference.

Understand how to optimize enterprise OT and IT data utilization to improve operational automation, decision making and advanced reporting.