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Application of artificial neural network to predict slug liquid holdup

  • Published:2022-05 Issue: Volume:150 Page:104004
  • ISSN:0301-9322
  • Container-title:International Journal of Multiphase Flow
  • language:en
  • Short-container-title:International Journal of Multiphase Flow

Author:

Abdul-Majeed Ghassan H.,Kadhim F.S.,Almahdawi Falih H.M.,Al-Dunainawi Yousif,Arabi A.,Al-Azzawi Waleed Khalid

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,General Physics and Astronomy,Mechanical Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FCN-Based Method for Phase Fraction Measurement of Oil-Gas-Water Three-Phase Flow;2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2023-05-22

2. Gas-liquid two-phase flow rates measurement using physics-guided deep learning;International Journal of Multiphase Flow;2023-05

3. Analysis, Comparison, and Discussion on the Utilization of the Existing Slug Liquid Holdup Models to Predict the Horizontal Gas-Liquid Plug-to-Slug Flow Transition;Journal of Energy Resources Technology;2023-03-02

4. A Machine Learning Model for the Development of a Digital Twin for a Control Valve for Oil and Gas Pipelines;2022 International Conference on Maintenance and Intelligent Asset Management (ICMIAM);2022-12-12

5. Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors;Industrial & Engineering Chemistry Research;2022-07-07
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