| Stochastic analysis of the impact of freestream conditions on the aerodynamics of a rectangular 5: 1 cylinder A Mariotti, MV Salvetti, PS Omrani, JAS Witteveen Computers & Fluids 136, 170-192, 2016 | 51 | 2016 |
| Improving the accuracy of virtual flow metering and back-allocation through machine learning P Shoeibi Omrani, I Dobrovolschi, S Belfroid, P Kronberger, E Munoz Abu Dhabi International Petroleum Exhibition and Conference, D021S035R004, 2018 | 45 | 2018 |
| Deep learning and data assimilation for real-time production prediction in natural gas wells K Loh, PS Omrani, R van der Linden arXiv preprint arXiv:1802.05141, 2018 | 40 | 2018 |
| Effect of reactive surface area of minerals on mineralization and carbon dioxide trapping in a depleted gas reservoir P Bolourinejad, PS Omrani, R Herber International Journal of Greenhouse Gas Control 21, 11-22, 2014 | 34 | 2014 |
| Deep learning and hybrid approaches applied to production forecasting P Shoeibi Omrani, AL Vecchia, I Dobrovolschi, T Van Baalen, J Poort, ... Abu Dhabi International Petroleum Exhibition and Conference, D031S103R001, 2019 | 18 | 2019 |
| On the effects of droplets modulating the acoustic source powers generated in T-joints PS Omrani, J Golliard, S Belfroid, NG Diez 10th International Conference on Flow-Induced Vibration, Dublin, Ireland …, 2012 | 14 | 2012 |
| Slugging monitoring and classification with machine learning PS Omrani, I Dobrovolschi, K Loh, SPC Belfroid BHR International Conference on Multiphase Production Technology, BHR-2019-007, 2019 | 12 | 2019 |
| Improving the Foamer Selection Procedure for Gas Well Deliquification Application S P Omrani, RK Shukla, F Vercauteren, E Nennie SPE Annual Technical Conference and Exhibition, 2016 | 11 | 2016 |
| Polymer induced drag reduction in a turbulent pipe flow subjected to a Coriolis force P Shoeibi Omrani, R Delfos, BJ Boersma Flow, turbulence and combustion 89, 589-599, 2012 | 9 | 2012 |
| Deep learning history matching for real time production forecasting K Loh, PS Omrani, R van der Linden First EAGE/PESGB Workshop Machine Learning 2018 (1), 1-3, 2018 | 7 | 2018 |
| Sobol indices for dimension adaptivity in sparse grids RP Dwight, SGL Desmedt, PS Omrani Simulation-Driven Modeling and Optimization: ASDOM, Reykjavik, August 2014 …, 2016 | 7 | 2016 |
| Deep learning and data assimilation for real-time production prediction in natural gas wells. arXiv 2018 K Loh, PS Omrani, R van der Linden arXiv preprint arXiv:1802.05141, 0 | 7 | |
| Prediction of well production event using machine learning algorithms Y Alatrach, C Mata, P Shoeibi Omrani, L Saputelli, R Narayanan, ... Abu Dhabi International Petroleum Exhibition and Conference, D031S094R004, 2020 | 6 | 2020 |
| Improving Geothermal System Performance Through Collective Knowledge Building and Technology Development L Wasch, R Creusen, F Eichinger, T Goldberg, C Kjoller, S Regenspurg, ... European Geothermal Congress, 2019 | 6 | 2019 |
| An automated diagnostic analytics workflow for the detection of production events-application to mature gas fields J Poort, P Shoeibi Omrani, AL Vecchia, G Visser, M Janzen, J Koenes Abu Dhabi International Petroleum Exhibition and Conference, D011S018R001, 2020 | 5 | 2020 |
| Integrated Scale Management for Geothermal L Wasch, P Shoeibi-Omrani, A Twerda Proceedings of the European Geothermal Congress 6, 2019 | 5 | 2019 |
| Foamer evaluation by the sparging test method for application to gas well deliquification S Joshi | 5 | 2015 |
| Towards a Better Selection of Foamers for the Deliquification of Mature Gas Wells PS Omrani, RK Shukla, F Vercauteren, E Nennie International Petroleum Technology Conference, D021S036R002, 2016 | 4 | 2016 |
| Parametric Analysis and Uncertainty Quantification for Flow Assurance A Twerda, PS Omrani International Petroleum Technology Conference, D041S058R005, 2015 | 4 | 2015 |
| The H2020 REFLECT project: D4. 3 Impact of geochemical uncertainties on fluid production and scaling prediction J Poort, H de Zwart, L Wasch, P Shoeibi Omrani GFZ German Research Centre for Geosciences, 2022 | 3 | 2022 |
Jeroen A.S. WitteveenScientific Staff Member, Center for Mathematics and Computer Science (CWI), AmsterdamVerified email at cwi.nl
