Critical gas velocity prediction for vortex drainage gas wells

被引:5
|
作者
Zhang, Zhao [1 ,2 ]
Liao, Ruiquan [1 ,2 ]
Fu, Peng [3 ]
Su, Yubin [3 ]
Luo, Wei [1 ,2 ]
Zhang, Dingxue [1 ,2 ]
机构
[1] Yangtze Univ, Petr Engn Coll, Wuhan 430100, Hubei, Peoples R China
[2] CNPC, Lab Multiphase Pipe Flow, Gas Lift Innovat Ctr, Wuhan 430100, Hubei, Peoples R China
[3] PetroChina Changqing Oilfield Branch Co, Res Inst Oil & Gas Technol, Xian 710021, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
gas well; vortex tool; drainage gas recovery; critical gas velocity; swirling flow; friction factor; prediction model; reduction amplitude;
D O I
10.18280/ijht.360439
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper attempts to disclose the law of critical gas velocity in the swirling flow field induced by the vortex tools. For this purpose, a critical gas velocity calculation model for vortex drainage gas wells was established based on the axial force balance between the liquid film and the gas core in swirling flow, and modified with the experimental data in previous studies. Then, the effects of helix angle and hub diameter of vortex tool on the reduction amplitude of critical gas velocity were analyzed by comparing the modified model with Turner model. Through experimental verification, it is learned that our new model can predict the critical gas velocity under different production conditions with different vortex tools. The reduction amplitude of critical gas velocity increased with the helix angle and decreased with the growth in hub diameter. The reduction amplitude ranged from 55.03% to 59.35% as the helix angle varied from 15 degrees to 75 degrees and the hub diameter varied from 34mm to 50 mm. The helix angle has a greater impact than the hub diameter on the reduction amplitude. The research findings shed new light on the design and application of the vortex tools.
引用
收藏
页码:1456 / 1462
页数:7
相关论文
共 50 条
  • [21] Prediction of wellbore temperatures in gas production wells
    Hagoort, J
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2005, 49 (1-2) : 22 - 36
  • [22] Improved Prediction of Liquid Loading In Gas Wells
    Shekhar, S.
    Kelkar, M.
    Hearn, W. J.
    Hain, L. L.
    SPE PRODUCTION & OPERATIONS, 2017, 32 (04): : 539 - 550
  • [23] Study on evaporation drainage of deep coal seam gas wells
    Zhu, Hongying
    Jing, Chuankai
    Zhang, Fenna
    Qi, Yaoguang
    Hu, Hao
    Yi, Tiantian
    FRONTIERS IN ENERGY RESEARCH, 2024, 12
  • [24] OIL AND GAS WELLS HAVE FINITE DRAINAGE LIMITS.
    Hurst, William
    Petroleum Engineer International, 1985, 57 (11):
  • [25] Acid mine drainage flowing from abandoned gas wells
    Hedin R.S.
    Stafford S.L.
    Weaver T.J.
    Mine Water and the Environment, 2005, 24 (2) : 104 - 106
  • [26] Research on vortex flow applied to liquid unloading in gas wells
    Xi’an Shiyou University, College of Mechanical Engineering, Xi’an, Shaanxi, China
    不详
    不详
    Energy Educ. Sct. Technol. Part A. Energy Sci. Res., 5 (3351-3360):
  • [27] Prediction model of critical liquid-carrying gas velocity for high gas-to-liquid ratio gathering pipelines
    Ma, Rulong
    Ma, Tingxia
    Kang, Jiaying
    Yang, Kang
    Li, Lianshun
    Wang, Lin
    JOURNAL OF PIPELINE SCIENCE AND ENGINEERING, 2023, 3 (01):
  • [28] Prediction of SCPin Gas Wells Based on Gas Channeling-Path Characterization
    Zhao, Xiaofeng
    Guan, Zhichuan
    Wu, Yanxian
    Cao, Fei
    JOURNAL OF ENGINEERING RESEARCH, 2017, 5 (02): : 223 - 235
  • [29] Prediction of critical total drawdown in sand production from gas wells: Machine learning approach
    Alakbari, Fahd Saeed
    Mohyaldinn, Mysara Eissa
    Ayoub, Mohammed Abdalla
    Muhsan, Ali Samer
    Abdulkadir, Said Jadid
    Hussein, Ibnelwaleed A.
    Salih, Abdullah Abduljabbar
    CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2023, 101 (05): : 2493 - 2509
  • [30] Prediction of temperature, pressure, density, velocity distribution in H-T-H-P gas wells
    Xu, Jiuping
    Wu, Zezhong
    Wang, Shize
    Qi, Bin
    Chen, Kefan
    Li, Xiaofei
    Zhao, Xiaodan
    CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2013, 91 (01): : 111 - 121