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Distributed Acoustic Sensing (DAS) Response of Rising Taylor Bubbles in Slug Flow.

Aleksei Titov1, Yilin Fan2, Kagan Kutun2

  • 1Department of Geophysics, Colorado School of Mines, Golden, CO 80401, USA.

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|February 15, 2022
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Summary
This summary is machine-generated.

Distributed acoustic sensing (DAS) effectively tracks Taylor bubbles in slug flow, measuring their velocity and size. This technology offers a promising, cost-effective solution for monitoring potentially destructive flow in industrial facilities.

Keywords:
Taylor bubbledistributed acoustic sensing (DAS)flow profilingslug flow

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Area of Science:

  • Multiphase flow dynamics
  • Sensing technologies
  • Petroleum engineering

Background:

  • Slug flow, characterized by intermittent Taylor bubbles, is prevalent in oil and gas infrastructure.
  • Traditional point sensors struggle to accurately analyze complex slug flow dynamics.
  • Taylor bubbles pose risks of equipment damage in pipelines and wellbores.

Purpose of the Study:

  • To investigate the application of Distributed Acoustic Sensing (DAS) for characterizing Taylor bubble flow.
  • To evaluate DAS's capability in measuring Taylor bubble velocity, size, and wake region dynamics.
  • To assess DAS as a monitoring tool for industrial flow assurance.

Main Methods:

  • A 10-meter vertical laboratory flow loop was constructed.
  • Fiber optic cables were wrapped around the flow loop to serve as DAS sensors.
  • Low-passed DAS data were analyzed for Taylor bubble velocity and wake velocity measurements.

Main Results:

  • DAS successfully enabled velocity tracking of Taylor bubbles across various sizes and liquid velocities.
  • The velocity of the wake region behind Taylor bubbles was accurately measured.
  • Amplitude analysis of DAS data provided reliable estimation of Taylor bubble sizes.
  • The merging process of Taylor bubbles was observed and analyzed using DAS.

Conclusions:

  • Distributed Acoustic Sensing (DAS) is a highly promising technology for detailed Taylor bubble characterization in laboratory settings.
  • DAS offers a non-intrusive, cost-effective method for monitoring hazardous slug flow in industrial facilities.
  • This sensing approach can enhance operational safety and efficiency in industries reliant on pipeline transport.