| Data-driven end-to-end production prediction of oil reservoirs by enkf-enhanced recurrent neural networks A Bao, E Gildin, J Huang, EJ Coutinho SPE Latin America and Caribbean Petroleum Engineering Conference, D021S004R001, 2020 | 41 | 2020 |
| Data-driven model reduction based on sparsity-promoting methods for multiphase flow in porous media A Bao, E Gildin SPE Latin America and Caribbean Petroleum Engineering Conference, D021S008R002, 2017 | 25 | 2017 |
| A discrete, arbitrarily oriented 3D plane-source analytical solution to the diffusivity equation for modeling reservoir fluid flow A Bao, RD Hazlett, D Krishna Babu SPE Journal 22 (05), 1609-1623, 2017 | 23 | 2017 |
| 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 | 22 | 2018 |
| Data-Driven Model Reduction for Coupled Flow and Geomechanics Based on DMD Methods A Bao, E Gildin, A Narasingam, JS Kwon Fluids 4 (3), 2019 | 19 | 2019 |
| Wellbore Schematics to Structured Data Using Artificial Intelligence Tools VN Kemajou, A Bao, O Germain Offshore Technology Conference, Houston, Texas, 2019 | 17 | 2019 |
| A Generalized Green's Function for Inflow from Complex Fractures and Its Application A Bao University of Tulsa, 2015 | 2 | 2015 |
| Optimizing Multi-Stage Hydraulic Fracturing Treatments for Economical Production in Permian Basin Using Machine Learning Y Wang, J Chen, S Kam, A Bao 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 1 | 2021 |
| Generation of digital well schematics A Bao, VN Kemajou, O Germain US Patent 11,354,921, 2022 | | 2022 |
| Physics Constrained Data-Driven Technique for Reservoir Proxy Model and Model Order Reduction A Bao Texas A&M University, 2019 | | 2019 |
Eduardo GildinAssociate Professor, Texas A&M UniversityVerified email at pe.tamu.edu
