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Abouzar Choubineh
Observed name:
Choubineh, Abouzar
Institution:
Dalhousie University
Observed institutions:
Dalhousie University,
University of Liverpool,
Petroleum University of Technology,
Xi’an Jiaotong-Liverpool University
OpenAlex ID:
A5086844736
Improved predictions of wellhead choke liquid critical-flow rates: Modelling based on hybrid neural network training learning based optimization
2017
·
Abouzar Choubineh
, Hamzeh Ghorbani
, et al.
·
Fuel
·
126
ANN-Based Prediction of Laboratory-Scale Performance of CO2-Foam Flooding for Improving Oil Recovery
2019
·
Seyedeh Raha Moosavi
, David A. Wood
, et al.
·
Natural Resources Research
·
99
Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared
2018
·
Hamzeh Ghorbani
, David A. Wood
, et al.
·
Petroleum
·
84
PDF
Predicting liquid flow-rate performance through wellhead chokes with genetic and solver optimizers: an oil field case study
2018
·
Hamzeh Ghorbani
, David A. Wood
, et al.
·
Journal of Petroleum Exploration and Production Technology
·
72
PDF
Performance comparison of bubble point pressure from oil PVT data: Several neurocomputing techniques compared
2019
·
Hamzeh Ghorbani
, David A. Wood
, et al.
·
Experimental and Computational Multiphase Flow
·
61
The impacts of gas impurities on the minimum miscibility pressure of injected CO2-rich gas–crude oil systems and enhanced oil recovery potential
2018
·
Abouzar Choubineh
, Abbas Helalizadeh
, et al.
·
Petroleum Science
·
61
PDF
Applying Monte Carlo Dropout to Quantify the Uncertainty of Skip Connection-Based Convolutional Neural Networks Optimized by Big Data
2023
·
Abouzar Choubineh
, Jie Chen
, et al.
·
Electronics
·
49
PDF
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
2018
·
Abouzar Choubineh
, Abbas Helalizadeh
, et al.
·
ADVANCES IN GEO-ENERGY RESEARCH
·
37
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
2020
·
Abouzar Choubineh
, David A. Wood
, et al.
·
International Journal of Critical Infrastructure Protection
·
27
Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset
2023
·
Abouzar Choubineh
, Jie Chen
, et al.
·
Algorithms
·
26
PDF
Transparent machine learning provides insightful estimates of natural gas density based on pressure, temperature and compositional variables
2020
·
David A. Wood
, Abouzar Choubineh
·
Journal of Natural Gas Geoscience
·
20
PDF
Reliable predictions of oil formation volume factor based on transparent and auditable machine learning approaches
2019
·
David A. Wood
, Abouzar Choubineh
·
ADVANCES IN GEO-ENERGY RESEARCH
·
19
PDF
Transparent open-box learning network provides auditable predictions
2018
·
David A. Wood
, Abouzar Choubineh
, et al.
·
Journal of Thermal Analysis and Calorimetry
·
19
Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared
2018
·
David A. Wood
, Abouzar Choubineh
·
Petroleum
·
18
PDF
Forecasting gas density using artificial intelligence
2017
·
Abouzar Choubineh
, Elias Khalafi
, et al.
·
Petroleum Science and Technology
·
15
Deep ensemble learning for high-dimensional subsurface fluid flow modeling
2023
·
Abouzar Choubineh
, Jie Chen
, et al.
·
Engineering Applications of Artificial Intelligence
·
12
Estimation of the CO2-oil minimum miscibility pressure for enhanced oil recovery
2016
·
Abouzar Choubineh
, Seyede Robab Mousavi
, et al.
·
Petroleum Science and Technology
·
12
An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed GMsFEM
2022
·
Abouzar Choubineh
, Jie Chen
, et al.
·
Journal of Petroleum Science and Engineering
·
8
Machine learning to improve natural gas reservoir simulations
2021
·
Abouzar Choubineh
, Jie Chen
, et al.
·
Elsevier eBooks
·
7
A support vector machine analysis to predict density of mixtures of methanol and six ionic liquids
2018
·
Amir Golparvar
, Alireza Bahreini
, et al.
·
Monatshefte für Chemie - Chemical Monthly
·
5
A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling
2022
·
Abouzar Choubineh
, Jie Chen
, et al.
·
Journal of Computing and Information Science in Engineering
·
4
Finding Associative and Causal Effects of Temporal Changes in Health Features for Prevalent and Incident Cancer in Males: A Machine Learning Approach
2026
·
Abouzar Choubineh
, Syed Sibte Raza Abidi
, et al.
·
Studies in health technology and informatics
Contributors
2021
·
Mohammad Alipour
, Naser Bagheri Moghaddam
, et al.
·
Elsevier eBooks
Transparent Machine Learning Algorithm Offers Useful Prediction Method for Natural Gas Density
2018
·
David A. Wood
, Abouzar Choubineh
·
Gas Processing Journal
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Works count:
25
Citation count:
782
H-index:
15
I10-index:
17
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