Theoretical and efficient practical procedures for the generation of inflation factors for ES-MDA J Rafiee, AC Reynolds Inverse Problems 33 (11), 115003, 2017 | 57 | 2017 |
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 | 21 | 2018 |
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 | 16 | 2017 |
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 | 6 | 2022 |
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 | 6 | 2016 |
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 | 3 | 2022 |
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 | 3 | 2021 |
Data assimilation and uncertainty quantification using the ensemble-based methods with and without Markov chain Monte Carlo J Rafiee The University of Tulsa, 2017 | 3 | 2017 |
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 | 2 | 2022 |
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 | 1 | 2022 |
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 | 1 | 2021 |
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 |