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Repetition Rate and Gauge Length Impact on DTGS Temperature Reconstruction

Danilo Fernandes Gomes, Guilherme Heim Weber, Eduardo Henrique Dureck, Daniel Rodrigues Pipa, Marco J. da Silva, Jean Carlos Cardozo da Silva, Sérgio Taveira de Camargo Júnior, Manoel Feliciano da Silva, Cícero Martelli

2023IEEE Sensors Letters10 citationsDOI

Abstract

Distributed temperature gradient sensing (DTGS) systems have found widespread applications, particularly in the oil and gas industry. These systems use the analysis of phase variations in backscattered light from optical fibers to provide valuable information about temperature distributions. Thus, obtaining an accurate reconstruction of the phase variations of the backscattered light is essential to achieve reliable and accurate measurements of the thermal gradient. This letter addresses the limitations of the phase unwrapping algorithm in DTGS applications and proposes an evaluation of the impact of repetition rate and gauge length on the reconstruction of the distributed temperature. Through experimental tests and theoretical analyses, limiting parameters for data acquisition and those can compromise measurement accuracy are investigated. The findings contribute to improving the use of DTGS systems, allowing more accurate and reliable temperature monitoring in distributed systems.

Topics & Concepts

Repetition (rhetorical device)Materials sciencePhase (matter)Computer scienceTemperature gradientLimitingGauge (firearms)Work (physics)PhysicsMechanical engineeringThermodynamicsQuantum mechanicsPhilosophyLinguisticsMetallurgyEngineeringAdvanced Fiber Optic SensorsOptical measurement and interference techniquesAdaptive optics and wavefront sensing
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