Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 41,
  • Issue 24,
  • pp. 7448-7454
  • (2023)

Sand Particle Content Monitoring in Sand-Water Two-Phase Flow Based on Distributed Acoustic Sensing

Not Accessible

Your library or personal account may give you access

Abstract

Precise control and measurement of the sand particles in sand-water two-phase flows are essential for pipeline safety monitoring and economic accounting. Nowadays, the measurement of sand particles in sand-water conveying systems relies on point measurement schemes such as invasive electrical resistance probes, which invade the pipeline and can irreversibly damage the fluid pressure, especially when multi-point measurements are required. To solve this problem, we propose a dynamic peak-seeking (DPS) method based on the highly sensitive distributed acoustic sensing (DAS) system to enhance the sand detection in sand-water flows with strong background noise. As the sensing medium, the backscattering enhanced optical fiber (BEOF) is placed in straight-line shape to form continuous distribution of sensing units for quantitative identification and localization sand particles content. The experimental results indicate that there is a significant impinging signal as the sand particles in the sand-water flow impacts the pipe wall. The proposed method enables the detection of sand particles concentration as low as 0.02 wt.% at a flow rate of 2.5 m/s. Moreover, the continuous distribution of multiple sensor units allows high-accuracy localization of sand particles erosion areas. The approach presented in this study enables non-invasive and highly sensitive online detection of pipeline sand particle content, which will exhibit great potential for future pipeline integrity management.

PDF Article

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.