Presented at PTC 2026

This conference paper, presented at the 2026 Pipeline Technology Conference (PTC) in Berlin, was written by Stuart Mitchell, Dr. Dingding Chen, Dr. Li Gao, Dr. Joseph Ma, Dacosta Yeboah, and Scott Bauer of PipeSense. The paper explores how advanced pressure pulse-based leak detection and machine learning can overcome many of the challenges associated with monitoring supercritical CO2 (sCO2) pipelines used in carbon capture and storage (CCS) infrastructure.

Real-World sCO2 Pipeline Deployment

Using a real-world 12-mile sCO2 pipeline deployment as a case study, the paper highlights how PipeSense’s high-frequency pressure monitoring technology achieved rapid leak detection, precise localization, and zero false positives during a 90-day monitoring period. It also examines the limitations of traditional leak detection methods and the growing need for reliable monitoring solutions as CO2 pipeline infrastructure continues to expand.

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Read the full conference paper to explore the methodology, testing process, and field results in greater detail.

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