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Low-Frequency Strain Testbed for DAS Performance Characterization

delete2025-10-01
delete0
PRE
AI
G
Guilherme Heim Weber *
E
Emmanuell Scolimoski
D
Danilo Fernandes Gomes
B
Beatriz Brusamarello
E
Eduardo Henrique Dureck
D
Daniel Rodrigues Pipa
J
Jean Carlos Cardozo da Silva
M
Manoel Feliciano da Silva
S
Sérgio Taveira de Camargo Júnior
C
Cícero Martelli
DOI:10.1109/LSENS.2025.3607642delete
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摘要

摘要

En 中文
Distributed acoustic sensing (DAS) systems were originally developed to measure high-frequency dynamic strain signals induced by sound and vibration. Recently, however, their potential for low-frequency applications has received considerable attention. In the petroleum industry, efforts are underway, led by SEAFOM, to establish recommended practices for characterizing DAS strain responses in oil and gas environments. This includes the development of a consistent methodology for evaluating DAS performance. This letter presents a mechanical approach to characterize the low-frequency strain measurement performance of DAS. The setup uses pulleys and a microstepper motor to apply controlled mechanical strain to optical fibers at varying velocities and intensities, resulting in high levels of strain at very low frequencies. Experimental results demonstrate the generation of cyclic ramp strain stimuli with amplitudes up to 4 m & varepsilon; over a 33-min cycle, which can be easily extended. DAS measurements revealed nonuniform strain distributions along the fiber, primarily influenced by friction and slip effects associated with the fiber coating and pulley bearing characteristics. These findings improve the reliability and interpretability of low-frequency DAS measurements in complex offshore environments.
Keyword:
Sensor integration
low-frequency
distributed acoustic sensing (DAS)
low-frequency strain
Sensor integration
low-frequency
distributed acoustic sensing (DAS)
low-frequency strain

期刊

I
IEEE Sensors Letters
IF:
2.2
论文数:
354
被引数:
3.1K

机构

U
universidade federal do parana
学者数:
1.3W
论文数: 8.3K
被引数: 5
U
universidade tecnologica federal do parana
学者数:
4.9K
论文数: 3.4K
被引数: 1
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