27 citations as recorded by crossref.

1. Prediction of gas flow rates from gas condensate reservoirs through wellhead chokes using a firefly optimization algorithm H. Ghorbani et al.
2. New universal two-phase choke correlations developed using non-linear multivariable optimization technique M. Alrumah & R. Alenezi
3. Predicting liquid flow-rate performance through wellhead chokes with genetic and solver optimizers: an oil field case study H. Ghorbani et al.
4. Prediction performance advantages of deep machine learning algorithms for two-phase flow rates through wellhead chokes H. Barjouei et al.
5. Machine Learning Applications to Predict Surface Oil Rates for High Gas Oil Ratio Reservoirs A. Ibrahim et al.
6. An Investigation into Sub-Critical Choke Flow Performance in High Rate Gas Condensate Wells H. Nasriani et al.
7. Prediction of Surface Oil Rates for Volatile Oil and Gas Condensate Reservoirs Using Artificial Intelligence Techniques R. Al Dhaif et al.
8. Modeling liquid rate through wellhead chokes using machine learning techniques M. Dabiri et al.
9. Piecewise Gilbert-type correlation for two-phase flowback through wellhead chokes in hydraulically fractured shale gas wells Y. Jiang et al.
10. Simplified Neural Network-Based Models for Oil Flow Rate Prediction U. Umana et al.
11. Oil and gas well rate estimation by choke formula: semi-analytical approach M. Kargarpour
12. Prediction of oil rates using Machine Learning for high gas oil ratio and water cut reservoirs R. Al Dhaif et al.
13. Experimental analysis and model evaluation of gas-liquid two phase flow through choke in a vertical tube C. Xie et al.
14. A novel comprehensive model for predicting production of downhole choke wells C. Xie et al.
15. Prediction of well performance parameters for wellhead choke flow optimization using MLP-GA A. Akbari & M. Rahimi
16. Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields A. Abad et al.
17. Application of Artificial Intelligence to Estimate Oil Flow Rate in Gas-Lift Wells M. Khan et al.
18. Improved predictions of wellhead choke liquid critical-flow rates: Modelling based on hybrid neural network training learning based optimization A. Choubineh et al.
19. Prediction of gas-liquid two-phase choke flow using Gaussian process regression Y. Jiang et al.
20. Improved Multiphase Flow Rate Models for Chokes in the Algerian HMD Oil Field N. Tellache et al.
21. Applications of Artificial Intelligence to Predict Oil Rate for High Gas–Oil Ratio and Water-Cut Wells A. Ibrahim et al.
22. Modelling oil and gas flow rate through chokes: A critical review of extant models O. Agwu et al.
23. Workflow to predict wellhead choke performance during multiphase flow using machine learning S. Alarifi
24. Machine learning-based prediction of well performance parameters for wellhead choke flow optimization A. Akbari et al.
25. New generalized correlations for oil rate predictions through wellhead chokes for high GOR reservoirs A. Ibrahim et al.
26. A new correlation for prediction of sub-critical two-phase flow pressure drop through large-sized wellhead chokes S. Seidi & T. Sayahi
27. Adaptive neuro-fuzzy algorithm applied to predict and control multi-phase flow rates through wellhead chokes H. Ghorbani et al.