| Improved predictions of wellhead choke liquid critical-flow rates: modelling based on hybrid neural network training learning based optimization A Choubineh, H Ghorbani, DA Wood, SR Moosavi, E Khalafi, ... Fuel 207, 547-560, 2017 | 117 | 2017 |
| ANN-Based Prediction of Laboratory-Scale Performance of CO2-Foam Flooding for Improving Oil Recovery SR Moosavi, DA Wood, MA Ahmadi, A Choubineh Natural Resources Research 28, 1619-1637, 2019 | 79 | 2019 |
| Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared H Ghorbani, DA Wood, A Choubineh, A Tatar, PG Abarghoyi, M Madani, ... Petroleum 6 (4), 404-414, 2020 | 65 | 2020 |
| Predicting liquid flow-rate performance through wellhead chokes with genetic and solver optimizers: an oil field case study H Ghorbani, DA Wood, J Moghadasi, A Choubineh, P Abdizadeh, ... Journal of Petroleum Exploration and Production Technology 9, 1355-1373, 2019 | 59 | 2019 |
| Performance comparison of bubble point pressure from oil PVT data: Several neurocomputing techniques compared H Ghorbani, DA Wood, A Choubineh, N Mohamadian, A Tatar, ... Experimental and Computational Multiphase Flow 2, 225-246, 2020 | 48 | 2020 |
| Estimation of minimum miscibility pressure of varied gas compositions and reservoir crude oil over a wide range of conditions using an artificial neural network model A Choubineh, A Helalizadeh, DA Wood Advances in Geo-Energy Research 3 (1), 52-66, 2019 | 35 | 2019 |
| The impacts of gas impurities on the minimum miscibility pressure of injected CO2-rich gas–crude oil systems and enhanced oil recovery potential A Choubineh, A Helalizadeh, DA Wood Petroleum Science 16, 117-126, 2019 | 29 | 2019 |
| Transparent open-box learning network provides auditable predictions: Pool boiling heat transfer coefficient for alumina-water-based nanofluids DA Wood, A Choubineh, B Vaferi Journal of Thermal Analysis and Calorimetry 136, 1395-1414, 2019 | 25 | 2019 |
| Applying separately cost-sensitive learning and Fisher's discriminant analysis to address the class imbalance problem: A case study involving a virtual gas pipeline SCADA system A Choubineh, DA Wood, Z Choubineh International Journal of Critical Infrastructure Protection 29, 100357, 2020 | 20 | 2020 |
| Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared DA Wood, A Choubineh Petroleum 6 (4), 375-384, 2020 | 18 | 2020 |
| Estimation of the CO2-oil minimum miscibility pressure for enhanced oil recovery A Choubineh, SR Mousavi, M Vafaee Ayouri, M Ahmadinia, D Choubineh, ... Petroleum Science and Technology 34 (22), 1847-1854, 2016 | 18 | 2016 |
| Reliable predictions of oil formation volume factor based on transparent and auditable machine learning approaches DA Wood, A Choubineh Advances in Geo-Energy Research 3 (3), 2019 | 17 | 2019 |
| Forecasting gas density using artificial intelligence A Choubineh, E Khalafi, R Kharrat, A Bahreini, AH Hosseini Petroleum science and technology 35 (9), 903-909, 2017 | 17 | 2017 |
| Transparent machine learning provides insightful estimates of natural gas density based on pressure, temperature and compositional variables DA Wood, A Choubineh Journal of Natural Gas Geoscience 5 (1), 33-43, 2020 | 11 | 2020 |
| Fourier neural operator for fluid flow in small-shape 2D simulated porous media dataset A Choubineh, J Chen, DA Wood, F Coenen, F Ma Algorithms 16 (1), 24, 2023 | 9 | 2023 |
| Artificial intelligence-based modeling of interfacial tension for carbon dioxide storage AH Hosseini, H Ghadery-Fahliyany, D Wood, A Choubineh Gas Processing Journal 8 (1), 83-92, 2020 | 6 | 2020 |
| Applying Monte Carlo dropout to quantify the uncertainty of skip connection-based convolutional neural networks optimized by big data A Choubineh, J Chen, F Coenen, F Ma Electronics 12 (6), 1453, 2023 | 4 | 2023 |
| An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed GMsFEM A Choubineh, J Chen, F Coenen, F Ma Journal of Petroleum Science and Engineering 216, 110751, 2022 | 4 | 2022 |
| Machine learning to improve natural gas reservoir simulations A Choubineh, J Chen, F Coenen, F Ma, DA Wood Sustainable Natural Gas Reservoir and Production Engineering, 55-82, 2022 | 3 | 2022 |
| A quantitative insight into the role of skip connections in deep neural networks of low complexity: A case study directed at fluid flow modeling A Choubineh, J Chen, F Coenen, F Ma Journal of Computing and Information Science in Engineering 23 (1), 014502, 2023 | 2 | 2023 |
