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Signal processing for slug flow analysis: MATLAB algorithm.

Gabriel Soto-Cortes1, Eduardo Pereyra2, Cem Sarica2

  • 1Autonomous Metropolitan University Campus Lerma, Mexico, Mexico.

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|November 10, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a MATLAB program for analyzing slug flow in pipes. The flexible statistical algorithm objectively determines slug flow characteristics from time-series data.

Keywords:
Gas-liquid flowHoldupSlug characterizationSlug frequencySlug length

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Area of Science:

  • Fluid Dynamics
  • Multiphase Flow Analysis
  • Signal Processing

Background:

  • Slug flow is a common gas-liquid flow pattern in pipes, crucial for industrial processes.
  • Accurate characterization of slug flow is essential for process design and safety.
  • Existing methods may involve subjective criteria, limiting reproducibility.

Purpose of the Study:

  • To present an accessible MATLAB program for characterizing slug flow.
  • To provide a flexible and adaptable statistical algorithm for analyzing gas-liquid flow patterns.
  • To enable objective determination of slug flow characteristics.

Main Methods:

  • Development of a MATLAB program 'BSignalProcessing2020.m' based on statistical algorithms.
  • Calculation of film and slug cut threshold values.
  • Determination of disregard cut values for grouping and removing slug pulses.
  • Application to voltage time-series and instantaneous liquid holdup time-series.

Main Results:

  • The program provides an objective, statistically-based method for slug flow characterization.
  • Key parameters like threshold and disregard cut values are calculated.
  • The algorithm is demonstrated to be applicable to different time-series data types.

Conclusions:

  • The presented MATLAB program offers an easy-to-use, objective tool for slug flow analysis.
  • The statistical methodology is robust and adaptable for various gas-liquid flow studies.
  • The code is freely available for unrestricted use in research and industry.