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Updated: Jun 23, 2025

Measurements of Local Instantaneous Convective Heat Transfer in a Pipe - Single and Two-phase Flow
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Characterization of Gas-Liquid Two-Phase Slug Flow Using Distributed Acoustic Sensing in Horizontal Pipes.

Sharifah Ali1, Ge Jin2, Yilin Fan1

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

Sensors (Basel, Switzerland)
|June 19, 2024
PubMed
Summary
This summary is machine-generated.

Distributed acoustic sensing (DAS) offers a non-intrusive method for monitoring gas-liquid slug flow in pipes. This technology enables real-time characterization of flow parameters, improving industrial operations and safety.

Keywords:
distributed acoustic sensingdistributed fiber-optic sensingflow monitoringgas–liquid slug flowhorizontal pipe flowmultiphase flow metermultiphase flow sensorsslug flow characterization

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Area of Science:

  • Engineering
  • Physics
  • Materials Science

Background:

  • Gas-liquid two-phase slug flow is prevalent in industries like oil and gas, posing operational challenges.
  • Traditional multiphase flow sensors are often intrusive, costly, and limited in harsh environments.
  • Accurate, real-time monitoring of slug flow is critical for process optimization and safety.

Purpose of the Study:

  • To investigate the application of distributed acoustic sensing (DAS) for quantitative monitoring of gas-liquid two-phase slug flow.
  • To develop and validate new algorithms for characterizing slug flow dynamics using DAS data.
  • To assess the advantages of DAS over conventional methods for multiphase flow measurement.

Main Methods:

  • Experiments were conducted using a transparent pipe with a helically wrapped fiber optic cable connected to a DAS integrator.
  • Mineral oil and compressed air were used to simulate various gas-liquid flow conditions.
  • New algorithms were developed to analyze DAS signals for slug frequency, velocity, and length measurements.
  • High-speed camera validation was performed to ensure measurement accuracy.

Main Results:

  • DAS successfully captured and characterized various slug flow regimes under different flow rates and gas-oil ratios.
  • Developed algorithms accurately determined slug frequency, translational velocity, slug body length, slug unit length, and liquid film region.
  • Measurements from DAS showed good correlation with high-speed camera validation data.
  • New metrics for slug flow characterization, such as liquid film region length, were successfully derived from DAS data.

Conclusions:

  • Distributed acoustic sensing (DAS) provides a non-intrusive, continuous, and real-time method for monitoring gas-liquid slug flow.
  • The developed algorithms enable quantitative characterization of slug flow dynamics, including novel parameters.
  • DAS technology presents a cost-effective and robust solution for multiphase flow monitoring in challenging industrial environments.
  • This approach offers significant potential for optimizing facility design, operation, and ensuring safer practices in industries affected by slug flow.