| Machine learning augmented dead oil viscosity model for all oil types U Sinha, B Dindoruk, M Soliman Journal of Petroleum Science and Engineering 195, 107603, 2020 | 30 | 2020 |
| Prediction of CO2 minimum miscibility pressure using an augmented machine-learning-based model U Sinha, B Dindoruk, M Soliman SPE Journal 26 (04), 1666-1678, 2021 | 23 | 2021 |
| Prediction of CO2 minimum miscibility pressure MMP using machine learning techniques U Sinha, B Dindoruk, M Soliman SPE Improved Oil Recovery Conference, 2020 | 20 | 2020 |
| Development of a new correlation to determine relative viscosity of heavy oils with varying asphaltene content and temperature U Sinha, B Dindoruk, MY Soliman Journal of Petroleum Science and Engineering 173, 1020-1030, 2019 | 18 | 2019 |
| 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 | 7 | 2023 |
| Physics augmented correlations and machine learning methods to accurately calculate dead oil viscosity based on the available inputs U Sinha, B Dindoruk, MY Soliman SPE Journal 27 (05), 3240-3253, 2022 | 7 | 2022 |
| An Improved Method for GOR Forecasting in Unconventionals H Zalavadia, U Sinha, S Sankaran Unconventional Resources Technology Conference, Houston, Texas, USA, June 2022., 2022 | 6 | 2022 |
| Physics guided data-driven model to estimate minimum miscibility pressure (MMP) for hydrocarbon gases U Sinha, B Dindoruk, M Soliman Geoenergy Science and Engineering 224, 211389, 2023 | 3 | 2023 |
| 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 | 2 | 2022 |
| Estimation of Dead Oil Viscosity Utilizing Physics Based Correlative Principles and Predictive Machine Learning Techniques. U Sinha, B Dindoruk, M Soliman SPE Annual Technical Conference and Exhibition?, D031S054R003, 2019 | 2 | 2019 |
| 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 | 1 | 2023 |
| 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 | 1 | 2023 |
| Hybrid Multiphase Rate Forecasting Model in Liquid Wells for Unconventional Reservoirs U Sinha, H Zalavadia, PS Chauhan, S Sankaran SPE Western Regional Meeting, D031S008R004, 2023 | 1 | 2023 |
| A Data-Driven Journey into Liquid Loading Detection and Prediction U Sinha, PS Chauhan, H Zalavadia, A Adil, S Sankaran SPE Western Regional Meeting, D021S007R001, 2024 | | 2024 |
| Physics-Augmented Data Driven Method to Detect and Quantify the Impact of Well Interference U Sinha, PS Chauhan, H Zalavadia, V Sabharwal, S Sankaran, C Chen Abu Dhabi International Petroleum Exhibition and Conference, D041S126R002, 2023 | | 2023 |
| Gas-oil ratio forecasting in unconventional reservoirs S Sankaran, H Zalavadia, U Sinha US Patent 11,767,750, 2023 | | 2023 |
| Physics informed data-driven models for discovery of flow physics and forecasts in unconventional reservoirs H Zalavadia, U Sinha, P Singh, Z Guo, S Sankaran Unconventional Resources Technology Conference, 13–15 June 2023, 1847-1877, 2023 | | 2023 |
| Discovery of Unconventional Reservoir Flow Physics for Production Forecasting Through Hybrid Data-Driven and Physics Models H Zalavadia, U Sinha, P Singh, S Sankaran SPE Western Regional Meeting, D031S011R007, 2023 | | 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 | | 2023 |
| Optimizing Artificial Lift Timing and Selection Using Reduced Physics Models H Zalavadia, M Gokdemir, U Sinha, S Sankaran SPE Oklahoma City Oil and Gas Symposium/Production and Operations Symposium …, 2023 | | 2023 |
Birol DindorukProfessor, University of HoustonVerified email at uh.edu
