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Decoding Fluid Flow Characteristics Through Distributed Acoustic Sensing: A Novel Approach.

Haochu Ku1, Kunpeng Zhang1,2, Xiangge He1,3

  • 1Beijing International Center for Gas Hydrate, School of Earth and Space Sciences, Peking University, Beijing 100871, China.

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Summary
This summary is machine-generated.

Distributed acoustic sensing (DAS) effectively monitors fluid flow characteristics in pipelines. DAS provides real-time, multi-point data for enhanced oil and gas transport safety and production optimization.

Keywords:
distributed acoustic sensingflow frequency characteristicsflow phaseflow rate

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Area of Science:

  • Geophysics
  • Fluid Dynamics
  • Sensor Technology

Background:

  • Flow characteristic monitoring is vital for oil and gas transport safety and production.
  • Traditional flow meters lack distributed, real-time monitoring capabilities.
  • Distributed acoustic sensing (DAS) offers high-resolution, multi-point sensing for dynamic fluid analysis.

Purpose of the Study:

  • To assess the feasibility of using DAS for monitoring fluid migration characteristics.
  • To analyze acoustic signal differences across various flow regimes (gas, liquid, two-phase).
  • To explore DAS for qualitative flow rate estimation.

Main Methods:

  • An indoor physical simulation pipeline loop was utilized.
  • Acoustic signals were collected under diverse flow conditions (noise, single-phase, two-phase).
  • Frequency-power spectral density and autocorrelation analyses were performed.

Main Results:

  • Gas-phase flow showed low-frequency signals; liquid-phase flow exhibited broader spikes.
  • Gas-liquid two-phase flow presented the widest frequency range and strongest amplitudes.
  • Autocorrelation revealed distinct patterns for each flow type, and RMS energy correlated with flow velocity.

Conclusions:

  • DAS is a viable technology for monitoring fluid flow characteristics in pipelines.
  • Signal analysis (frequency, autocorrelation, energy) differentiates flow regimes.
  • Further research can enhance DAS for precise flow rate determination and pipeline monitoring.