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Numerical Simulation of Elbow Erosion in Shale Gas Fields under Gas-Solid Two-Phase Flow

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  • Bingyuan Hong

    (School of Petrochemical Engineering and Environment, Zhejiang Ocean University, Zhoushan 316022, China
    National Engineering Laboratory for Pipeline Safety, China University of Petroleum-Beijing, Beijing 102249, China)

  • Xiaoping Li

    (National Engineering Laboratory for Pipeline Safety, China University of Petroleum-Beijing, Beijing 102249, China)

  • Yanbo Li

    (National Engineering Laboratory for Pipeline Safety, China University of Petroleum-Beijing, Beijing 102249, China)

  • Yu Li

    (National Engineering Laboratory for Pipeline Safety, China University of Petroleum-Beijing, Beijing 102249, China
    China National Oil and Gas Exploration and Development Corporation, Beijing 100034, China)

  • Yafeng Yu

    (National Engineering Laboratory for Pipeline Safety, China University of Petroleum-Beijing, Beijing 102249, China
    CNOOC Research Institute Co., Ltd., Beijing 100028, China)

  • Yumo Wang

    (National Engineering Laboratory for Pipeline Safety, China University of Petroleum-Beijing, Beijing 102249, China)

  • Jing Gong

    (National Engineering Laboratory for Pipeline Safety, China University of Petroleum-Beijing, Beijing 102249, China)

  • Dihui Ai

    (National Engineering Laboratory for Pipeline Safety, China University of Petroleum-Beijing, Beijing 102249, China)

Abstract

Erosion is one of the most common forms of material failure and equipment damage in gas transmission pipelines. Shale gas fields use hydraulic fracturing whereby solid particles are often carried in the gas flow, and the pipeline is in a high-pressure state, which is more likely to cause erosion. The prediction of particle erosion regulation in gas-solid two-phase flow is an effective means to ensure the safe operation of shale gas fields. In this paper, an integrated CFD-DPM model is established to investigate the erosion of 90° elbow in a shale gas field under gas-solid two-phase flow, employing the realizable k-ε turbulence model, discrete phase model, and erosion rate prediction model. The reliability of the proposed numerical models is verified by comparing the predicted data with the experimental data. Moreover, the effects of six important factors on maximum erosion rate are analyzed, including gas velocity, mass flow rate of sand particles, particle diameter, shape coefficient of sand particles, pipeline diameter, elbow radius of curvature. Specifically, the results indicate that the gas velocity, mass flow rate and shape coefficient of sand particles are positively correlated with the maximum erosion rate, while the pipe diameter and the elbow radius of curvature are negatively correlated with the maximum erosion rate. A new correlation was developed, which included four dimensionless groups, namely Reynolds number, diameter ratio, density ratio and particle number. The correlation can be used to predict maximum corrosion rate of elbows. This work can provide data reference and theoretical basis for mitigating the erosion rate of pipelines and managing the integrity of gas pipelines.

Suggested Citation

  • Bingyuan Hong & Xiaoping Li & Yanbo Li & Yu Li & Yafeng Yu & Yumo Wang & Jing Gong & Dihui Ai, 2021. "Numerical Simulation of Elbow Erosion in Shale Gas Fields under Gas-Solid Two-Phase Flow," Energies, MDPI, vol. 14(13), pages 1-15, June.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3804-:d:581425
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    References listed on IDEAS

    as
    1. Peng Liu & Yumo Wang & Feng Yan & Chaofei Nie & Xin Ouyang & Jiashuang Xu & Jing Gong, 2020. "Effects of Fluid Viscosity and Two-Phase Flow on Performance of ESP," Energies, MDPI, vol. 13(20), pages 1-20, October.
    2. Jingyuan Xu & Zhanghua Lian & Jian Hu & Min Luo, 2018. "Prediction of the Maximum Erosion Rate of Gas–Solid Two-Phase Flow Pipelines," Energies, MDPI, vol. 11(10), pages 1-22, October.
    3. Hong, Bingyuan & Li, Xiaoping & Song, Shangfei & Chen, Shilin & Zhao, Changlong & Gong, Jing, 2020. "Optimal planning and modular infrastructure dynamic allocation for shale gas production," Applied Energy, Elsevier, vol. 261(C).
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    Cited by:

    1. Yao, Liming & Liu, Yuxi & Xiao, Zhongmin & Chen, Yang, 2023. "An algorithm combining sedimentation experiments for pipe erosion investigation," Energy, Elsevier, vol. 270(C).
    2. Bingcheng Li & Min Zeng & Qiuwang Wang, 2022. "Numerical Simulation of Erosion Wear for Continuous Elbows in Different Directions," Energies, MDPI, vol. 15(5), pages 1-22, March.
    3. Bingyuan Hong & Yanbo Li & Xiaoping Li & Shuaipeng Ji & Yafeng Yu & Di Fan & Yating Qian & Jian Guo & Jing Gong, 2021. "Numerical Simulation of Gas-Solid Two-Phase Erosion for Elbow and Tee Pipe in Gas Field," Energies, MDPI, vol. 14(20), pages 1-18, October.

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