Gas-water two-phase flow characterization with Electrical Resistance Tomography and Multivariate Multiscale Entropy...

Area of Science:

• Fluid Dynamics
• Multiphase Flow Systems
• Non-invasive Measurement Techniques

Background:

• Understanding gas-liquid two-phase flow is crucial for developing accurate mechanical and descriptive models.
• Electrical Resistance Tomography (ERT) offers directional insights into flow conditions via its electrode implementation.

Purpose of the Study:

• To develop and validate a novel method for characterizing gas-liquid two-phase flow patterns and transitions.
• To assess the sensitivity of multivariate sample entropy (MSampEn) to flow complexity and directional variations.

Main Methods:

• ERT data was treated as a multivariate time series to extract multivariate sample entropy (MSampEn).
• The dynamic experimental results were analyzed to correlate MSampEn with different flow patterns and velocities.

Main Results:

• MSampEn demonstrated sensitivity to complexity changes in various flow patterns: bubbly, stratified, plug, and slug flow.
• The method successfully characterized flow behavior in different spatial directions and identified transitions with changing flow velocity.

Conclusions:

• The proposed MSampEn analysis is effective for characterizing two-phase flow patterns and transitions.
• Incorporating information from different scales and spatial directions enhances the analysis of flow dynamics.