Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs

被引：0
|
作者：
Behesht Abad, Abouzar Rajabi [1 ]
Mousavi, Seyedmohammadvahid [2 ]
Mohamadian, Nima [3 ]
Wood, David A. [4 ]
Ghorbani, Hamzeh [5 ]
Davoodi, Shadfar [6 ]
Alvar, Mehdi Ahmadi [7 ]
Shahbazi, Khalil [8 ]
机构：
[1] Department of Petroleum Engineering, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran
[2] Department of Petroleum Engineering, Islamic Azad University, Nour Branch, Nour, Iran
[3] Young Researchers and Elite Club, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran
[4] DWA Energy Limited, Lincoln,LN5 9JP, United Kingdom
[5] Young Researchers and Elite Club, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
[6] School of Earth Sciences & Engineering, Tomsk Polytechnic University, Lenin Avenue, Tomsk, Russia
[7] Faculty of Engineering, Department of Computer Engineering, Shahid, Chamran University, Ahwaz, Iran
[8] Department of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran
来源：
Journal of Natural Gas Science and Engineering | 2021年 / 95卷
关键词：
117;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [11] Effect of Pressure and Temperature Variation on Wax Precipitation in the Wellbore of Ultradeep Gas Condensate Reservoirs
    Zhang C.
    Gu Z.
    Cao L.
    Wu H.
    Liu J.
    Li P.
    Zhang D.
    Li Z.
    SPE Journal, 2023,
  • [12] Effect of Pressure and Temperature Variation on Wax Precipitation in the Wellbore of Ultradeep Gas Condensate Reservoirs
    Zhang, Chao
    Gu, Zihan
    Cao, Lihu
    Wu, Hongjun
    Liu, Jiquan
    Li, Pengfei
    Zhang, Dexin
    Li, Zhaomin
    SPE JOURNAL, 2024, 29 (03): : 1589 - 1604
  • [13] Robust correlation to predict dew point pressure of gas condensate reservoirs
    Mohammad Ali Ahmadi
    Adel Elsharkawy
    Petroleum, 2017, 3 (03) : 340 - 347
  • [14] A semianalytical method to predict well deliverability in gas-condensate reservoirs
    Chowdhury, Nitin
    Sharma, Ravi
    Pope, Gary A.
    Sepehrnoori, Kamy
    SPE Reservoir Evaluation and Engineering, 2008, 11 (01): : 175 - 185
  • [15] A semianalytical method to predict well deliverability in gas-condensate reservoirs
    Chowdhury, Nitin
    Sharma, Ravi
    Pope, Gary A.
    Sepehrnoori, Kamy
    SPE RESERVOIR EVALUATION & ENGINEERING, 2008, 11 (01) : 175 - 185
  • [16] Interpretable ensemble machine learning models for dew point pressure prediction in gas condensate reservoirs
    Xing, Xiaoyuan
    Bian, Xiao-Qiang
    Zhang, Jianye
    Zeng, Yongping
    Liu, Wei
    PETROLEUM SCIENCE AND TECHNOLOGY, 2025,
  • [17] Synthesis of fluorinated nano-silica and its application in wettability alteration near-wellbore region in gas condensate reservoirs
    Mousavi, M. A.
    Hassanajili, Sh.
    Rahimpour, M. R.
    APPLIED SURFACE SCIENCE, 2013, 273 : 205 - 214
  • [18] Multiphase flow analysis of complex wellbore-fracture-cave connections in condensate gas reservoirs
    Pan, Quanyu
    Cheng, Linsong
    Jia, Pin
    Da, Yinpeng
    Li, Jianhui
    Cao, Chong
    Jia, Zhihao
    Cao, Renyi
    PHYSICS OF FLUIDS, 2024, 36 (08)
  • [19] A generalized correlation for predicting gas-condensate relative permeability at near wellbore conditions
    Jamiolahmady, M.
    Sohrabi, M.
    Ireland, S.
    Ghahri, P.
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2009, 66 (3-4) : 98 - 110
  • [20] A generalized correlation for predicting gas-condensate relative permeability at near wellbore conditions
    Institute of Petroleum Engineering, Heriot-Watt University, Riccarton, Edinburgh, EH14 4AS, United Kingdom
    J. Pet. Sci. Eng., 1600, 3-4 (98-110):
12345