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

The rapid growth of AI and Machine Learning is creating new possibilities for seismic processing and interpretation.

Aspen Fidelis helps decision-makers evaluate capital investments, maintenance strategies and operational improvements by forecasting performance, cost and risk across complex industrial systems.

Refineries are facing increasing crude market volatility, tighter margins and greater operational complexity.

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.

AspenTech CTO Claudio Fayad joins Hydrocarbon Processing's The Main Column podcast to discuss where Industrial AI is headed for refining and petrochemicals.

Discover how industrial organizations can bridge the gap between Operational Technology (OT) and Information Technology (IT) to achieve scalable AI and analytics.

AspenTech Inmation™ OT Data Fabric unifies OT data into a stateful, persistent enterprise namespace and continuously contextualizes it into trusted, AI-ready intelligence. It connects plants, assets and applications across edge, cloud, and on-premises to establish a consistent, real-time, query-ready operational picture that scales from a single site to the global enterprise.

Explore real-world results from YPFB Andina and AspenTech, demonstrating how an integrated, asset-wide approach can uncover hidden production opportunities and improve economic performance—without relying solely on new capital investment.