Closed-loop field development under uncertainty by use of optimization with sample validation MG Shirangi, LJ Durlofsky SPE Journal 20 (05), 908-922, 2015 | 112 | 2015 |
A general method to select representative models for decision making and optimization under uncertainty MG Shirangi, LJ Durlofsky Computers & Geosciences 96, 109--123, 2016 | 102 | 2016 |
An improved TSVD-based Levenberg–Marquardt algorithm for history matching and comparison with Gauss–Newton MG Shirangi, AA Emerick Journal of Petroleum Science and Engineering 143, 258-271, 2016 | 71 | 2016 |
History matching production data and uncertainty assessment with an efficient TSVD parameterization algorithm M Gharib Shirangi Journal of Petroleum Science and Engineering 113, 54-71, 2014 | 51 | 2014 |
Closed-loop field development optimization under uncertainty MG Shirangi, LJ Durlofsky SPE Reservoir Simulation Symposium, 2015 | 44 | 2015 |
A digital twin of drilling fluids rheology for real-time rig operations M Samnejad, M Gharib Shirangi, R Ettehadi Offshore Technology Conference, D011S010R006, 2020 | 32 | 2020 |
Digital twins for drilling fluids: advances and opportunities MG Shirangi, R Ettehadi, R Aragall, E Furlong, R May, T Dahl, ... SPE/IADC Drilling Conference and Exhibition, D101S019R003, 2020 | 32 | 2020 |
Joint Optimization of Economic Project Life and Well Controls MG Shirangi, O Volkov, LJ Durlofsky SPE Journal, 2018 | 30 | 2018 |
Prescriptive analytics for completion optimization in unconventional resources MG Shirangi, Y Oruganti, T Wilson, E Furlong, E Winter, J Martin, R Yancy SPE Western Regional Meeting, Galveston, Texas, USA, 23-26, 2019 | 23 | 2019 |
Rapid learning-based and geologically consistent history matching P Tahmasebi, M Sahimi, MG Shirangi Transport in Porous Media 122, 279-304, 2018 | 22 | 2018 |
A Semiempirical Model for Rate of Penetration with Application to an Offshore Gas Field D Etesami, MG Shirangi, WJ Zhang SPE Drilling & Completion, 2020 | 21 | 2020 |
Closed-loop field development with multipoint geostatistics and statistical performance assessment MG Shirangi Journal of Computational Physics 390, 249-264, 2019 | 21 | 2019 |
Applying Machine Learning Algorithms to Oil Reservoir Production Optimization MG Shirangi Stanford Machine Learning, 2012 | 17 | 2012 |
Digital twins for well planning and bit dull grade prediction M Gharib Shirangi, E Furlong, KS Sims SPE Norway Subsurface Conference, D021S006R004, 2020 | 16 | 2020 |
History Matching Production Data With Truncated SVD Parameterization MG Shirangi Master’s thesis, The University of Tulsa, 2011 | 16 | 2011 |
Retrospective optimization of well controls under uncertainty using kernel clustering MG Shirangi, T Mukerji Proceedings of the 25th Annual Meeting of the Stanford Center for Reservoir …, 2012 | 13 | 2012 |
Prescriptive data analytics to optimize casing exits T Popp, MG Shirangi, OP Nipen, A Berggreen SPE/IADC Drilling Conference and Exhibition, D091S008R001, 2020 | 8 | 2020 |
Advanced Techniques for Closed-Loop Reservoir Optimization under Uncertainty MG Shirangi Stanford University, 2017 | 8 | 2017 |
Development of digital twins for drilling fluids: local velocities for hole cleaning and rheology monitoring MG Shirangi, R Aragall, RE Osgouei, R May, E Furlong, TG Dahl, ... Journal of Energy Resources Technology 144 (12), 123003, 2022 | 7 | 2022 |
Closed-loop Field Development Optimization MG Shirangi Stanford Center for Reservoir Forecasting 26th Annual Meeting, 2013 | 4 | 2013 |