Contextualizing equipment data to extend asset life and optimize performance is a major challenge of Asset Performance Management (APM), but the real hurdle is scaling.

Contextualizing equipment data to extend asset life and optimize performance is a major challenge of Asset Performance Management (APM), but the real hurdle is scaling.

In this interview with Justin Eames, Solution Design Director at Aspen Technology, learn how AspenTech Asset Performance Management (APM) improves reliability, reduces unplanned downtime and standardizes best practices across the enterprise.

Pan American Energy (PAE) has undertaken a strategic transformation to optimize the efficiency of its maintenance operations. To address their asset reliability challenges, the company has developed a robust roadmap focused on Condition-Based Maintenance (CBM), operation by condition and alert automation.

Pan American Energy (PAE) ha emprendido una transformación para optimizar las estrategias de mantenimiento. Frente a los desafíos de disponibilidad, costos y eficiencia, la compañía ha desarrollado un roadmap robusto enfocado en el Mantenimiento Basado en Condición (MBC), la operación por condición y la captura de valor como eje central de decisión.

Accessing real-time operational data from your operating assets is just the first step.

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.

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.

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.