Repetition Rate and Gauge Length Impact on DTGS Temperature Reconstruction

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.

Automated summary

This letter discusses the limitations of the phase unwrapping algorithm in distributed temperature gradient sensing (DTGS) systems and proposes an evaluation of the impact of repetition rate and gauge length on the temperature reconstruction. Through experimental tests and theoretical analyses, the study investigates limiting parameters for data acquisition and factors that can compromise measurement accuracy. The findings contribute to improving the use of DTGS systems, allowing more accurate and reliable temperature monitoring in distributed systems.