Flowstate Launches Leak Detection System for Gas, CO₂ Pipelines

Flowstate Solutions launched a new machine-learning leak detection platform designed for natural gas, CO₂, NGL and olefin pipelines using standard SCADA data.

(P&GJ) — Flowstate Solutions has launched a new leak detection capability designed for compressible pipeline systems, expanding its technology beyond hazardous liquid applications to include natural gas, CO₂, NGL and olefin pipelines.

The company said the updated Flowstate Leak Detection System uses a machine-learning framework combined with existing SCADA measurements to distinguish potential leaks from normal operational pressure and flow fluctuations commonly seen in compressible pipeline systems.

The technology is intended for use on natural gas, carbon dioxide, natural gas liquids, ethylene and propylene pipelines, where conventional leak detection methods can struggle due to changing line-pack conditions and transient operating behavior.

Braden Fitz-Gerald, chief technology officer at Flowstate, said compressible pipeline systems have historically presented challenges for leak detection because routine operating conditions can resemble leak signatures.

According to the company, the software models expected fluid behavior in real time using operational data gathered from existing inlet and outlet measurements. Any imbalance detected by the system is analyzed statistically to determine whether it may indicate a leak.

Flowstate said the new capability has been validated using both a high-pressure natural gas test loop and an operational ethylene transmission pipeline. The company also said the software has already been deployed on operating CO₂, natural gas and Y-grade pipeline systems.

The launch is part of the company’s broader effort to expand leak detection coverage across more complex pipeline applications, including systems with higher operational variability and compressible products.