KROHNE to unveil pipeline leak detection technology at API Pipeline Conference

Pipeline monitoring technology integrates artificial intelligence and machine learning to enhance leak detection accuracy and reliability.
April 8, 2026
2 min read

KROHNE will introduce a new pipeline leak detection solution at the 2026 API Pipeline Conference, highlighting advancements in monitoring technology designed to improve safety, reliability, and environmental performance in pipeline operations.

According to KROHNE, the new system builds on enhanced Computational Pipeline Monitoring using Extended Real-Time Transient Models for both liquid and gas pipelines. The approach combines physics-based modeling with artificial intelligence and machine learning to improve detection sensitivity, reduce false alarms, and maintain performance under varying operating conditions.

The company said the technology is designed to help operators identify small leaks more quickly, detect product theft and illegal tapping, and enable faster intervention. The new solution will be formally unveiled during the event.

KROHNE will also emphasize cybersecurity as a core requirement in modern pipeline monitoring systems. As operational technology and information technology environments become more interconnected, the company is focusing on secure system architectures, lifecycle-based protection strategies, and continuous vulnerability management to safeguard monitoring and control functions.

Another focus at the conference will be the integration of leak detection with broader pipeline monitoring and integrity management systems. KROHNE plans to demonstrate how data from multiple sources can be consolidated into a unified platform for real-time visualization, analysis, and reporting, with interfaces to SCADA systems, DCS, and third-party tools.

In addition, KROHNE will present service-based operating models, including Monitoring as a Service, which shift pipeline monitoring from traditional project-based deployments to ongoing service delivery. These models are designed to support continuous system availability, scalability, and predictable costs while reducing capital expenditure and operational complexity.

KROHNE said the new platform reflects a broader shift in the industry, where leak detection is evolving into an integrated, intelligent component of pipeline operations that combines advanced analytics, cybersecurity, and system-wide visibility.

This piece was created with the help of generative AI tools and edited by our content team for clarity and accuracy.
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