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Javad Rafiee
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Year
Theoretical and efficient practical procedures for the generation of inflation factors for ES-MDA
J Rafiee, AC Reynolds
Inverse Problems 33 (11), 115003, 2017
542017
A two-level MCMC based on the distributed Gauss-Newton method for uncertainty quantification
J Rafiee, AC Reynolds
ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018
202018
A Bayesian model selection analysis of equilibrium and nonequilibrium models for multiphase flow in porous media
G Ren, J Rafiee, SA Aryana, RM Younis
International Journal of Multiphase Flow 89, 313-320, 2017
162017
Combining Machine Learning and Physics for Robust Optimization of Completion Design and Well Location of Unconventional Wells
J Rafiee, P Sarma, Y Zhao, S Plotno, C Calad, D Betancourt
International Petroleum Technology Conference, D031S089R002, 2022
62022
Neural network prediction model of three-phase fluids flow in heterogeneous porous media using scaling analysis
A Zarringhalam, M Alizadeh, J Rafiee, MM Moshirfarahi
Journal of Petroleum Science and Engineering 138, 122-137, 2016
62016
Energy transition meets digital transformation: design and implementation of a comprehensive carbon emissions estimation and forecasting platform
J Rafiee, P Sarma, F Gutierrez, R Hilliard, CM Calad, O Angulo, B Boyer
Offshore Technology Conference, D031S038R003, 2022
32022
Subsurface Back Allocation: Calculating Production and Injection Allocation by Layer in a Multilayered Waterflood Using a Combination of Machine Learning and Reservoir Physics
J Rafiee, CM Calad Serrano, P Sarma, S Plotno, F Gutierrez
International Petroleum Technology Conference, D012S045R197, 2021
32021
Data assimilation and uncertainty quantification using the ensemble-based methods with and without Markov chain Monte Carlo
J Rafiee
The University of Tulsa, 2017
32017
An Optimized Injection Scenario in a Waterflood Increases Oil Production and Reduces Carbon Emission Intensity
C Calad, P Sarma, J Rafiee, F Gutierrez
Second EAGE Digitalization Conference and Exhibition 2022 (1), 1-5, 2022
22022
Optimizing a Waterflood Using a Combination of Machine Learning and Reservoir Physics. A Field Application for Reducing Fresh Water Injection with no Impact on Oil Production …
P Sarma, J Rafiee, F Gutierrez, C Calad, R Hilliard, S Plotno, E Mamani, ...
International Petroleum Technology Conference, D021S025R003, 2022
12022
Physics embedded machine learning for producer to injector conversion optimization in waterfloods: A field application
J Rafiee, P Sarma, C Calad, Y Zhao, A Mukhamedyarov, S Plotno
82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021
12021
Accelerating Path to Net Zero: Forecasting Carbon Emissions in an Unconventional Field in North America
C Calad, O Angulo, P Sarma, J Rafiee, H Solano
The Fourth EAGE Global Energy Transition Conference and Exhibition 2023 (1), 1-5, 2023
2023
Systems and methods for back-allocation of oil produced by waterflooding
J Rafiee, P Sarma
US Patent 11,808,148, 2023
2023
Management and Optimization of a Large Waterflood Operation Applying a Physics Embedded Machine Learning Workflow
C Calad, R Lint, P Sarma, G Castano, F Gutierrez, J Rafiee
IOR+ 2023 2023 (1), 1-9, 2023
2023
Using a Data and Physics in a Machine Learning Workflow to Reduce Injection Water and Improve Carbon Emissions Intensity
C Calad, P Sarma, J Rafiee, S Plotno
First EAGE/SBGf Workshop on Reservoir Monitoring and its Role in the Energy …, 2022
2022
Optimizing Production and CO2 Injection Using a Physics Embedded Machine Learning workflow.
C Calad, J Rafiee, P Sarma, Y Zhao, F Gutierrez
EAGE GET 2022 2022 (1), 1-4, 2022
2022
Optimizing In-fill Well Placement in a Mature Waterflood Field Using a Physics Embedded Machine Learning Workflow
C Calad, P Sarma, J Rafiee, S Plotno
Second EAGE Workshop on EOR in Latin America 2022 (1), 1-5, 2022
2022
Maximizing Production and Storage in CO2 Injection Supported by a Physics Embedded Machine Learning
C Calad, P Sarma, Y Zhao, J Rafiee
Second EAGE Workshop on EOR in Latin America 2022 (1), 1-4, 2022
2022
Combining machine learning and reservoir simulation for robust optimization of completion design and well location of unconventional wells
C Calad, J Rafiee, P Sarma, Y Zhao, D Betancourt
Unconventional Resources Technology Conference, 20–22 June 2022, 520-529, 2022
2022
Application of Physics Embedded Machine Learning Models to Optimize Downhole Pump Size and Reactivate Closed Wells
J Rafiee, P Sarma, S Plotno, S Abramochkin, C Calad
ECMOR 2022 2022 (1), 1-10, 2022
2022
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