A. Choubineh

发表

Performance comparison of bubble point pressure from oil PVT data: Several neurocomputing techniques compared

David A. Wood, Hamzeh Ghorbani حمزه قربانی, A. Choubineh, 2019, Experimental and Computational Multiphase Flow.

Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared

David A. Wood, Hamzeh Ghorbani حمزه قربانی, A. Choubineh, 2020 .

ANN-Based Prediction of Laboratory-Scale Performance of CO2-Foam Flooding for Improving Oil Recovery

Mohammad Ali Ahmadi, Abouzar Choubineh, Seyedeh Raha Moosavi, 2019, Natural Resources Research.

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

David A. Wood, A. Choubineh, A. Helalizadeh, 2018, Advances in Geo-Energy Research.

Transparent machine learning provides insightful estimates of natural gas density based on pressure, temperature and compositional variables

David A. Wood, A. Choubineh, 2020 .

An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed GMsFEM

F. Coenen, A. Choubineh, Jie Chen, 2022, Journal of Petroleum Science and Engineering.

Predicting liquid flow-rate performance through wellhead chokes with genetic and solver optimizers: an oil field case study

David A. Wood, Hamzeh Ghorbani حمزه قربانی, A. Choubineh, 2018, Journal of Petroleum Exploration and Production Technology.

Artificial Intelligence-based Modeling of Interfacial Tension for Carbon Dioxide Storage

David A. Wood, A. Choubineh, A. Hosseini, 2020 .

A support vector machine analysis to predict density of mixtures of methanol and six ionic liquids

David A. Wood, A. Choubineh, A. Golparvar, 2018, Monatshefte für Chemie - Chemical Monthly.

The impacts of gas impurities on the minimum miscibility pressure of injected CO2-rich gas–crude oil systems and enhanced oil recovery potential

David A. Wood, A. Choubineh, Abbas Helalizadeh, 2018, Petroleum Science.

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

David A. Wood, Abouzar Choubineh, Zahak Choubineh, 2020, Int. J. Crit. Infrastructure Prot..

Estimation of the CO2-oil minimum miscibility pressure for enhanced oil recovery

Alireza Baghban, Abouzar Choubineh, Masoud Ahmadinia, 2016 .

Forecasting gas density using artificial intelligence

Riyaz Kharrat, Abouzar Choubineh, Elias Khalafi, 2017 .

Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset

David A. Wood, Frans Coenen, A. Choubineh, 2023, Algorithms.

Improved predictions of wellhead choke liquid critical-flow rates: Modelling based on hybrid neural network training learning based optimization

Abouzar Choubineh, Elias Khalafi, Hamzeh Ghorbani, 2017 .

Applying Monte Carlo Dropout to Quantify the Uncertainty of Skip Connection-Based Convolutional Neural Networks Optimized by Big Data

Frans Coenen, A. Choubineh, Jie Chen, 2023, Electronics.

Transparent open-box learning network provides auditable predictions

David A. Wood, Behzad Vaferi, Abouzar Choubineh, 2018, Journal of Thermal Analysis and Calorimetry.

Reliable predictions of oil formation volume factor based on transparent and auditable machine learning approaches

David A. Wood, Abouzar Choubineh, David A. Wood, 2019, Advances in Geo-Energy Research.

Machine learning to improve natural gas reservoir simulations

David A. Wood, Frans Coenen, A. Choubineh, 2022, Sustainable Natural Gas Reservoir and Production Engineering.

Deep ensemble learning for high-dimensional subsurface fluid flow modeling

David A. Wood, F. Coenen, A. Choubineh, 2023, Eng. Appl. Artif. Intell..