Applying a non-invasive multi-spectral sensing technique to two-phase flow measurements for pipeline monitoring

Abstract

"Smart" sensors, with a fusion-based approach, pave the way for potentially changing how pipeline network systems are controlled, maintained, and monitored. This is typically done through structural modeling or spot monitoring using micro-electromechanical systems, strain gauges or through general conventional sensing. One of the challenges facing new developments in structural health monitoring (SHM) of a deployed asset is application to inaccessible locations. This work presents the use of a non-intrusive integrity monitoring sensor system utilising a multi-spectral approach to give more trusted insights to structural integrity as well as flow characteristics. The paper addresses the fundamental problems in identifying and characterising two-phase (air–water and oil–water) flow patterns and flow pattern transitions using numerous sensing techniques: strain gauges, optical Fibre Bragg Gratings, thermocouples (K-type), accelerometers, acoustic emission analysis and gyroscopes. By providing low noise, un-biased strain measurements, the non-intrusive sensor system can verify and improve integrity monitoring, providing a reliable alternative to conventional sensing. In addition, the non-intrusive sensor system enables pressure monitoring, providing flow assurance data and, provides good data integrity, making it an ideal tool as an enhanced surveillance strategy in real time for SHM of pipeline networks.