A review of gas-liquid separation technologies: Separation mechanism, application scope, research status, and development prospects

Yang, Lele; Chen, Xiaodong; Huang, Chengyu; Liu, Sen; Ning, Bo; Wang, Kai

doi:10.1016/j.cherd.2023.11.057

Cited by 7 publications

(1 citation statement)

References 99 publications

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“…However, due to the complexity of affecting factors like flow structure, physical characteristics, flow rate, pressure, heat treatment, pipeline, and geometry, it is an enormous challenge to perform accurate measurements using traditional methods [1]. Currently, the measurement of gas-liquid two-phase flow rates in gas, oil, and chemical processes often involves the use of separation methods, which require a large space and expensive equipment [2]. While this challenge can be effectively resolved using non-separation measurement methods, they have limitations in terms of measurement range and medium.…”

Section: Introductionmentioning

confidence: 99%

Gas–Liquid Two-Phase Flow Measurement Based on Optical Flow Method with Machine Learning Optimization Model

Wang,

Huang,

et al. 2024

Applied Sciences

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Gas–Liquid two-phase flows are a common flow in industrial production processes. Since these flows inherently consist of discrete phases, it is challenging to accurately measure the flow parameters. In this context, a novel approach is proposed that combines the pyramidal Lucas-Kanade (L–K) optical flow method with the Split Comparison (SC) model measurement method. In the proposed approach, videos of gas–liquid two-phase flows are captured using a camera, and optical flow data are acquired from the flow videos using the pyramid L–K optical flow detection method. To address the issue of data clutter in optical flow extraction, a dynamic median value screening method is introduced to optimize the corner point for optical flow calculations. Machine learning algorithms are employed for the prediction model, yielding high flow prediction accuracy in experimental tests. Results demonstrate that the gradient boosted regression (GBR) model is the most effective among the five preset models, and the optimized SC model significantly improves measurement accuracy compared to the GBR model, achieving an R2 value of 0.97, RMSE of 0.74 m3/h, MAE of 0.52 m3/h, and MAPE of 8.0%. This method offers a new approach for monitoring flows in industrial production processes such as oil and gas.

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Section: Introductionmentioning

confidence: 99%

Gas–Liquid Two-Phase Flow Measurement Based on Optical Flow Method with Machine Learning Optimization Model

Wang,

Huang,

et al. 2024

Applied Sciences

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Practical aspects of multiphase slug frequency: An overview

Arabi,

Höhn,

Pallares

et al. 2024

Can J Chem Eng

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Slug frequency, the number of liquid slugs passing through a point per unit of time, is an intrinsic parameter that is used to characterize multiphase slug flows in pipes. In this review we discuss practical aspects of slug frequency for industrial purposes from an examination of published literature and available experimental data. The review shows that slug frequency appears to play a key role in the modelling of intermittent flow using 1‐D mechanistic slug models and 3‐D computational fluid dynamics tools. In addition, various global parameters and phenomena used to design, optimize, and control industrial pipelines are directly impacted by slug frequency. This manuscript highlights the importance of slug frequency not only for petroleum engineering but also for chemical, nuclear, and mechanical engineering.

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Fluid wetting and penetration characteristics in T-shaped microchannels

Zhang,

Lippert,

Leonhardt

et al. 2024

Exp Fluids

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A thorough understanding of media tightness in automotive electronics is crucial for ensuring more reliable and compact product designs, ultimately improving product quality. Concerning the fundamental characteristics of fluid leakage issues, the dynamic wetting and penetration behavior on small scales is of special interest and importance. In this work, four T-shaped microchannels with one inlet and two outlets are experimentally investigated in terms of contact angle dynamics and interface movement over time, generating novel insight into the wetting mechanisms and fluid distribution. With a main channel width of 1 mm, a crevice width of $$w = {0.3}\,\hbox {mm}, {0.4}\,\hbox {mm}$$ w = 0.3 mm , 0.4 mm and a rounding edge radius of $$r = {0.1}\,\hbox {mm}, {0.2}\,\hbox {mm}$$ r = 0.1 mm , 0.2 mm , the geometrical effects on the fluid penetration depth in the crevice and the interface edge pinning effect are analyzed quantitatively using an automated image processing procedure. It is found that the measured dynamic contact angles in all parts can be well described by molecular kinetic theory using local contact line velocities, even with local surface effects and abrupt geometry changes. Moreover, a smaller crevice width, a sharper edge and a larger flow velocity tend to enhance the interface pinning effect and prevent fluid penetration into the crevice. The rounding radius has a more significant effect on the interface pinning compared with crevice width. The experimental data and image processing algorithm are made publicly available.

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A review of gas-liquid separation technologies: Separation mechanism, application scope, research status, and development prospects

Cited by 7 publications

References 99 publications

Gas–Liquid Two-Phase Flow Measurement Based on Optical Flow Method with Machine Learning Optimization Model

Gas–Liquid Two-Phase Flow Measurement Based on Optical Flow Method with Machine Learning Optimization Model

Practical aspects of multiphase slug frequency: An overview

Fluid wetting and penetration characteristics in T-shaped microchannels

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