Ensuring Tube Reliability in Oil & Gas: How AI & RFA Enhance Heat Exchanger Inspections

Refineries and petrochemical plants face increasing challenges in ensuring tubing reliability. Flow-accelerated corrosion, pitting, and thinning in tubing can lead to costly repairs, unplanned downtime, and regulatory risks. With industry standards driving compliance, inspection teams need solutions that improve efficiency without sacrificing accuracy.

This on-demand webinar excerpt explores how Artificial Intelligence (AI) and Remote Field Array (RFA) technologies are transforming heat exchanger inspections—reducing downtime, improving defect detection, and ensuring compliance.

Why This Matters

• Regulatory standards and aging infrastructure make heat exchanger inspections more complex.
• Conventional methods can be time-consuming, prone to interpretation errors, and resource-intensive.
• AI-assisted analysis speeds up flaw detection, reduces human error, and ensures consistent results.

What You’ll Learn

✔ How AI-assisted analysis speeds up eddy current testing defect detection and ensures more reliable data interpretation.
✔ How RFA probes improve inspection accuracy for carbon steel heat exchangers.
✔ How to automate flaw identification, reduce errors, and enhance reporting.
✔ Real-world examples of AI-enhanced inspections in action.

This expert-led session reveals the latest AI and RFA advancements shaping the future of tube inspections.

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