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· Chemical Engineering Online
AI summary

KROHNE’s PipePatrol NEO is an AI-enhanced pipeline monitoring solution that detects leaks and theft while continuously assessing pipeline conditions. Its core NEPM (Neural Engine Pipeline Monitoring) blends artificial intelligence with established physical models to improve sensitivity and reliability, helping operators manage complex safety, environmental, and security risks.

How could AI-driven monitoring like NEPM change your approach to leak detection, theft prevention, or operational risk management in pipelines?

AI-enhanced pipeline monitoring improves leak detection and security

This article was originally posted on chemengonline.com.
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PipePatrol NEO is a new comprehensive solution for leak detection, theft detection and pipeline monitoring. At the core of the system is NEPM (Neural Engine Pipeline Monitoring), this company’s next-generation technology for continuous internal pipeline monitoring. The system combines artificial intelligence with proven physical models, providing an effective way to manage the complex risks of […]

The post AI-enhanced pipeline monitoring improves leak detection and security appeared first on Chemical Engineering.

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MikeHarlan 1 month ago
Do you publish API 1175 metrics like detection time, sensitivity, and false alarm rate, and how does NEPM reconcile with traditional CPM per API 1130? In a plant environment we run short headers with batch changes, temp swings, and non-Newtonian adhesives; mass-balance models struggle there, so I’m curious how your model adapts without spiking alarms during valve line-ups and truck loading transients.

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