Operating one of the world’s largest methanol production facilities requires reliability teams to manage critical machinery and instrumentation in a fast-paced, complex manufacturing environment.

OCP Ecuador operates a critical 485-kilometer heavy crude pipeline that transports approximately 30% of Ecuador’s oil production, making reliability essential to safe, efficient operations.

In a world where supply chains, energy costs, feedstock availability and project economics can shift overnight, industrial leaders need the agility to act with confidence.

As process manufacturers navigate tighter margins, workforce challenges and increasingly complex assets, integrated reliability strategies are becoming essential for maintaining performance and operational resilience.

Hunt LNG, a Peruvian company and operator of the PERU LNG Project, is transforming reliability by using AI and machine learning to turn operational data into actionable decisions.

Why more sensors and more alerts aren't the answer — and what mining operators should focus on instead.

In this episode of The Main Column Podcast, Nithiya Parameswaran, VP of Product Management at Aspen Technology, joins Lee Nichols, Editor-in-Chief of Hydrocarbon Processing, to explore how Industrial AI is transforming Asset Performance Management.

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.