Presentation
22 June 2016 Oil pipeline geohazard monitoring using optical fiber FBG strain sensors (Conference Presentation)
Andres Salazar-Ferro, Alexis Mendez
Author Affiliations +
Abstract
Pipelines are naturally vulnerable to operational, environmental and man-made effects such as internal erosion and corrosion; mechanical deformation due to geophysical risks and ground movements; leaks from neglect and vandalism; as well as encroachments from nearby excavations or illegal intrusions. The actual detection and localization of incipient and advanced faults in pipelines is a very difficult, expensive and inexact task. Anything that operators can do to mitigate the effects of these faults will provide increased reliability, reduced downtime and maintenance costs, as well as increased revenues. This talk will review the on-line monitoring of an extensive network of oil pipelines in service in Colombia using optical fiber Bragg grating (FBG) strain sensors for the measurement of strains and bending caused by geohazard risks such as soil movements, landslides, settlements, flooding and seismic activity. The FBG sensors were mounted on the outside of the pipelines at discrete locations where geohazard risk was expected. The system has been in service for the past 3 years with over 1,000 strain sensors mounted. The technique has been reliable and effective in giving advanced warning of accumulated pipeline strains as well as possible ruptures.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andres Salazar-Ferro and Alexis Mendez "Oil pipeline geohazard monitoring using optical fiber FBG strain sensors (Conference Presentation)", Proc. SPIE 9803, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2016, 98031J (22 June 2016); https://doi.org/10.1117/12.2219542
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Fiber Bragg gratings

Optical fibers

Corrosion

Landslides

Reliability

Soil science

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