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.

To strengthen asset availability and operational resilience, the company has deployed machine learning across critical assets—including turbo compressors, gas turbine generators and a cryogenic heat exchanger—to detect and diagnose anomalies before they become operational failures.

In this webinar, Hunt LNG shares its journey toward predictive reliability, highlighting how they combine AI, engineering expertise and structured workflows to identify emerging risks early and improve maintenance decision-making. Viewers will also hear a real-world case study demonstrating how early anomaly detection enabled targeted intervention before operational impact.

Watch now to:

• Learn how Hunt LNG is turning operational data into AI-driven maintenance action
• Explore a real-world LNG reliability transformation and the lessons learned
• Discover how AI can help identify equipment risks before they affect production
• See how a proactive reliability strategy supports stronger business outcomes

View the on-demand webinar to hear how Hunt LNG is building a predictive reliability culture, strengthening operational resilience and creating a foundation for the future of AI-driven reliability in LNG operations.