Toward the Development of a Universal Choke Correlation – Global Optimization and Rigorous Computational Techniques

  • muhammad alrumah public authority for applied education and training
  • Faisal Aladwani Kuwait university
  • Saad Alatefi public authority for applied education and training
Keywords: choke correlation, vector machine, artificial intelligence, global optimization, computational technique


Wellhead choke is an integral part of production systems. Wellhead chokes act as regulators to protect surface facilities from high rate slugs, formation damage, and water coning. These chokes also    control the decline rate of reservoir pressure.  

Accordingly, a diverse data bank of critical flow across wellhead chokes has been compiled to develop a universal choke performance model. Three models developed to predict liquid flow rate in two-phase flow through chokes. The first two models are measured by computational intelligence paradigms such as the Artificial Neural Network and the Least Square Support Vector Machine. The third model was developed using a global optimization simplex algorithm. The three models outperformed all existing models, and the results clearly highlight the accuracy and superiority of the intelligence models over the existing empirical correlations.

Author Biographies

muhammad alrumah, public authority for applied education and training

department of petroleum engineering technology.

Assistant professor

Faisal Aladwani, Kuwait university

department of petroleum engineering.

Assistant professor
Saad Alatefi, public authority for applied education and training

department of petroleum engineering technology.

Assistant professor


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Petroleum Engineering