| Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations B Beykal, F Boukouvala, CA Floudas, N Sorek, H Zalavadia, E Gildin Computers & Chemical Engineering 114, 99-110, 2018 | 90 | 2018 |
| Development of proxy models for reservoir simulation by sparsity promoting methods and machine learning techniques A Bao, E Gildin, H Zalavadia ECMOR XVI-16th European conference on the mathematics of Oil recovery 2018 …, 2018 | 27 | 2018 |
| Model order reduction and control polynomial approximation for well-control production optimization N Sorek, H Zalavadia, E Gildin SPE Reservoir Simulation Conference, D022S002R002, 2017 | 23 | 2017 |
| A hybrid modeling approach to production control optimization using dynamic mode decomposition H Zalavadia, S Sankaran, M Kara, W Sun, E Gildin SPE Annual Technical Conference and Exhibition?, D022S090R002, 2019 | 19 | 2019 |
| Parametric model order reduction for adaptive basis selection using machine learning techniques during well location opt H Zalavadia, E Gildin ECMOR XVI-16th European Conference on the Mathematics of Oil Recovery 2018 …, 2018 | 11 | 2018 |
| Physics guided data driven model to forecast production rates in liquid wells U Sinha, H Zalavadia, S Sankaran SPE Oklahoma City Oil and Gas Symposium/Production and Operations Symposium …, 2023 | 8 | 2023 |
| An improved method for GOR forecasting in unconventionals H Zalavadia, U Sinha, S Sankaran Unconventional Resources Technology Conference, 20–22 June 2022, 770-790, 2022 | 8 | 2022 |
| Two-step predict and correct non-intrusive parametric model order reduction for changing well locations using a machine learning framework H Zalavadia, E Gildin Energies 14 (6), 1765, 2021 | 7 | 2021 |
| Guided deep learning manifold linearization of porous media flow equations MJ Dall’Aqua, EJR Coutinho, E Gildin, Z Guo, H Zalavadia, S Sankaran SPE Journal 29 (02), 885-908, 2024 | 5 | 2024 |
| Unlocking Unconventional Production Optimization Opportunities Using Reduced Physics Models for Well Performance Analysis–Case Study S Sankaran, D Molinari, H Zalavadia, T Stoddard, W Sun, G Singh, ... International Petroleum Technology Conference, D031S078R002, 2022 | 5 | 2022 |
| Case study on handling paraffinic and viscous crude of mangala oil field of Rajasthan-India H Zalawadia, C Pawde SPE North Africa Technical Conference and Exhibition, SPE-164670-MS, 2013 | 5 | 2013 |
| Improving artificial lift timing, selection, and operations strategy using a physics informed data-driven method H Zalavadia, P Singh, U Sinha, S Sankaran Unconventional Resources Technology Conference, 13–15 June 2023, 772-794, 2023 | 4 | 2023 |
| Technical Resource Potential Estimation Using Machine Learning and Optimization for the Delaware Basin H Zalavadia, Y Ben, R Gordillo, S Lauver Unconventional Resources Technology Conference, 26–28 July 2021, 3118-3135, 2021 | 4 | 2021 |
| Using hybrid models for unconventional production opportunities and value generation—Case studies H Zalavadia, T Stoddard, U Sinha, A Corman, S Sankaran Unconventional Resources Technology Conference, 20–22 June 2022, 1960-1979, 2022 | 3 | 2022 |
| Non-Intrusive Parametric Model Order Reduction with Error Correction Modeling for Changing Well Locations Using a Machine Learning Framework H Zalavadia, E Gildin SPE Latin American and Caribbean Petroleum Engineering Conference, 2020 | 3 | 2020 |
| Unconventional well interference detection using physics informed data-driven model U Sinha, PS Chauhan, H Zalavadia, S Sankaran, C Chen SPE/AAPG/SEG Unconventional Resources Technology Conference, D011S015R001, 2023 | 2 | 2023 |
| Input-Output Invariant Fast Proxy Models for Production Optimization MJ Dall'Aqua, EJR Coutinho, E Gildin, Z Guo, H Zalavadia, S Sankaran SPE Latin America and Caribbean Petroleum Engineering Conference, D011S006R004, 2023 | 2 | 2023 |
| Real time artificial lift timing and selection using hybrid data-driven and physics models H Zalavadia, M Gokdemir, U Sinha, P Singh, S Sankaran SPE Western Regional Meeting, D041S014R001, 2023 | 2 | 2023 |
| A Hybrid Modeling Approach to Production Control Optimization Using Dynamic Mode Decomposition. Z Hardikkumar, S Sathish, K Mustafa, S Wenyue, G Eduardo | 2 | 2019 |
| Application of a sparse hybrid data-driven and physics model in unconventional reservoirs for production forecasting H Zalavadia, S Sankaran SPE/AAPG/SEG Unconventional Resources Technology Conference, D031S070R001, 2024 | 1 | 2024 |
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