Unplanned shutdowns, rising OPEX and safety risks continue to challenge refiners and petrochemical producers. Asset Performance Management (APM) solutions help companies predict and prevent equipment failures, reduce costs and improve reliability.

Save the Date: OPTIMIZE 26 is coming! We're excited to bring this premier event to Houston, Texas, May 11–14, 2026.

OPTIMIZE 26 is coming to Houston, TX from May 11–14, 2026, with a dedicated focus on Process Industries and Power & Utilities. We are seeking speakers from across the globe to share their insights and expertise.

As operational demands increase and margins tighten, it’s no longer enough to rely on traditional predictive maintenance practices. To stay competitive, companies must embrace a more integrated, proactive approach to Asset Performance Management (APM)—one that combines AI/ML, safety-first maintenance practices and smarter investment planning to transform asset management.

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

More than half of all companies say they lack the skills they need to get the most out of their AI applications. Industrial AI offers a solution for this “expertise gap” by automating data cleaning, monitoring and analytics to enable the efficient scaling of custom-fit solutions.

Artificial intelligence is transforming the mining industry—from exploration and remote operations to predictive maintenance.

A leading Canadian mining company modernized its maintenance approach by implementing Aspen Mtell®, replacing a time-based preventive strategy with a prescriptive maintenance solution powered by AI. This resulted in fewer breakdowns, stronger collaboration and smarter operations.

Con condiciones operativas en constante cambio —incluyendo diferentes materias primas—, las plantas de proceso actuales enfrentan el desafío de cumplir con objetivos de crecimiento y sostenibilidad, ya que muchos indicadores clave de desempeño (KPIs) no pueden medirse en tiempo real. Aunque los modelos de simulación de procesos pueden desplegarse en línea para brindar a los operadores visibilidad en tiempo real y optimizar el rendimiento, existe una idea errónea común en la industria de que este enfoque es complicado y difícil de implementar.