Exploration teams face major challenges when modeling complex subsurface geologies. See how AspenTech solutions tackle four of the toughest ones and optimize earth resource management through the creation of reliable 3D geological models.

This year’s COP has been dubbed by many as the “finance” COP.

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® 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.