Investigation of the Gas–Liquid Flow and Separation Behaviors in Pipelines

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 2091

Editors


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Guest Editor
Shaanxi Provincial Key Laboratory of New Transportation Energy and Automotive Energy Saving, School of Energy and Electrical Engineering, Chang'an University, Xi'an 710064, China
Interests: gas-liquid flow; flow regime identification; flow visualization; flow assurance; deep learning

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Guest Editor
Shaanxi Provincial Key Laboratory of New Transportation Energy and Automotive Energy Saving, School of Energy and Electrical Engineering, Chang'an University, Xi'an 710064, China
Interests: heat and mass transfer; gas-liquid two-phase flow; multiphase flow parameter measurement

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Guest Editor
College of Computer and Data Science, Fuzhou University, Fuzhou 350108, China
Interests: multi-view learning; label distribution learning
School of Oil & Natural Gas Engineering, Southwest Petroleum University, Chengdu 610500, China
Interests: efficient transportation of unconventional oil; multiphase flow and flow assurance in pipes or wellbores; safety of oil and gas storage and transportation engineering.
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Special Issue Information

Dear Colleagues,

The safe and efficient transport of fluids through pipelines has long been a cornerstone of modern industry, underpinning global energy supply chains, chemical manufacturing, and environmental management. Gas–liquid flow dynamics and separation behaviors in pipeline systems represent a critical area in a wide range of industries, including oil and gas, chemical engineering, and energy systems. These flows are inherently complex due to the strong interactions between phases under varying pressure, pipeline structure, temperature, and flow conditions. A deeper understanding of multiphase flow behavior is essential for the design, optimization, and sustainable operation of pipeline systems, leading to improved efficiency, safety, and performance.

This Special Issue, “Investigation of the Gas-Liquid Flow and Separation Behaviors in Pipelines”, seeks high-quality works focusing on novel advances in experimental, theoretical, and computational investigations into flow regime transitions, pressure drop prediction, flow visualization and measurement, and innovative separation technologies.

Topics of interest include, but are not limited to, the following:

  • Advanced experimental techniques for flow visualization and measurement;
  • Development of models for flow regime transitions, pressure drops, and separation efficiency;
  • Novel separator designs and performance evaluation;
  • Computational fluid dynamics (CFD) modeling of multiphase flows;
  • Data-driven/machine learning methods for flow prediction and optimization;
  • Case studies addressing real-world industrial challenges.

I hope you consider participating in this Special Issue.

Dr. Yingjie Chang
Dr. Xuebo Zheng
Dr. Qinghai Zheng
Dr. Jie Sun
Guest Editors

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Keywords

  • gas-liquid flow
  • pipeline systems
  • flow dynamics
  • flow visualization
  • separator design
  • machine learning
  • deep learning
  • flow regime identification

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Published Papers (3 papers)

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Research

20 pages, 2731 KB  
Article
Optimization of Installation Position of Choke Valve for Severe Slugging Control on FPSO Units in Offshore Oilfield
by Jinghua Chen, Lingfei Dai, Luhan Xu, Liangsheng Zhou, Pengcheng Li and Suifeng Zou
Processes 2026, 14(7), 1164; https://doi.org/10.3390/pr14071164 - 3 Apr 2026
Viewed by 502
Abstract
Choking is a common method for controlling severe slugging in offshore oil and gas pipeline–riser systems. By combining experimental data with OLGA simulation, the influence of the installation position of the choke valve on control performance is analyzed. The results indicate that installing [...] Read more.
Choking is a common method for controlling severe slugging in offshore oil and gas pipeline–riser systems. By combining experimental data with OLGA simulation, the influence of the installation position of the choke valve on control performance is analyzed. The results indicate that installing the valve near the riser top enables the elimination of slug flow at a larger valve opening, and can mitigate the pressure rise in the pipeline and facilitate valve selection for the slug control system, thus improving the safety and stability of the oil and gas transportation system. The mechanism analysis concludes that the principle for optimizing the valve installation position is to suppress liquid accumulation and liquid slug formation in the pipe section on an FPSO unit and to promote gas outflow. In a practical offshore pipeline case, the results under low-liquid-production-rate conditions are consistent with the simulated trends of the laboratory pipeline. However, in the case of the biggest production rate, the control performance at different installation positions tends to converge. The findings of this study can provide a reference for designing slug control strategies on offshore oil and gas production platforms. Full article
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15 pages, 3567 KB  
Article
Intelligent Prediction Method for Pipeline Structural Health State Under Fault Movement
by Ning Shi, Tianwei Kong, Kaifang Hou, Wancheng Ding, Jie Jia and Hong Zhang
Processes 2026, 14(5), 872; https://doi.org/10.3390/pr14050872 - 9 Mar 2026
Viewed by 435
Abstract
The rapid development of the oil and gas industry has led to increasingly severe challenges for buried pipelines when crossing complex geological environments. Especially in fault zones induced by seismic action, the pipe–soil interaction mechanism and the rapid judgment of pipeline mechanical response [...] Read more.
The rapid development of the oil and gas industry has led to increasingly severe challenges for buried pipelines when crossing complex geological environments. Especially in fault zones induced by seismic action, the pipe–soil interaction mechanism and the rapid judgment of pipeline mechanical response urgently require in-depth research. This study conducted pipe–soil interaction tests on pipeline uplift under seismic-frequency loading, and for the first time, proposed a modified soil-spring method suitable for typical soft clay under seismic wave frequencies of 1–5 Hz. Through numerical simulation, the axial strain response of pipelines under normal fault movement was systematically analyzed. Considering comprehensively various variables such as fault dip angle, seismic wave frequency, internal pipeline pressure and wall thickness variation, this study extracted the maximum and minimum strain characteristics of the pipe top and pipe bottom, established a diversified intelligent prediction system for fault geological hazards, constructed the optimal machine learning model matching the type of normal fault geological hazards, and realized full-process intelligent modeling from model selection to parameter optimization. The research results can provide technical support for the seismic design and safety status prediction of pipelines under normal faulting conditions. Full article
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20 pages, 6155 KB  
Article
Research on Adjoint Shape Optimization of Shell-And-Tube Heat Exchangers in Petroleum Transportation Systems
by Xisong Yang, Mengfei Li, Ziquan Deng, Pengfeng Li, Huixue Dang and Yingjie Chang
Processes 2026, 14(4), 647; https://doi.org/10.3390/pr14040647 - 13 Feb 2026
Viewed by 820
Abstract
This study proposes a design method based on adjoint shape optimization to enhance the heat transfer efficiency of shell-and-tube heat exchangers in oil and gas transportation systems. The primary focus of this work is the design optimization of shell-and-tube heat exchangers through geometric [...] Read more.
This study proposes a design method based on adjoint shape optimization to enhance the heat transfer efficiency of shell-and-tube heat exchangers in oil and gas transportation systems. The primary focus of this work is the design optimization of shell-and-tube heat exchangers through geometric optimization. By simplifying the complex three-dimensional shell-and-tube heat exchanger into a pseudo-three-dimensional reduced-order model, two-dimensional adjoint shape optimization analyses were conducted under unidirectional symmetry about the x-axis and bidirectional symmetry in the x- and y-axes, respectively. The optimized two-dimensional models exhibited a significant increase in the average outlet temperature. Furthermore, the optimized two-dimensional shapes were extruded and reconstructed into three-dimensional models for validation. The results demonstrate that the average air outlet temperature of the three-dimensional models increased by 5.35 K and 3.07 K compared to the original design. Flow field analysis revealed that the heat transfer was improved, since the optimized pipeline layout enhances flow separation and turbulent mixing, leading to a more uniform temperature distribution. This study validates the effectiveness of the adjoint shape optimization method in improving the performance of shell-and-tube heat exchangers. Full article
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