| Robust life-cycle production optimization with a support-vector-regression proxy Z Guo, AC Reynolds SPE Journal 23 (06), 2,409-2,427, 2018 | 111 | 2018 |
| A Physics-Based Data-Driven Model for History-Matching, Prediction and Characterization of Waterflooding Performance Z Guo, AC Reynolds, H Zhao SPE Reservoir Simulation Conference, 2017 | 100 | 2017 |
| Waterflooding optimization with the INSIM-FT data-driven model Z Guo, AC Reynolds, H Zhao Computational Geosciences 22 (3), 745-761, 2018 | 69 | 2018 |
| INSIM-FT in Three-Dimensions with Gravity Z Guo, AC Reynolds Journal of Computational Physics, 2019 | 55 | 2019 |
| A new and fast waterflooding optimization workflow based on INSIM-derived injection efficiency with a field application H Zhao, L Xu, Z Guo, W Liu, Q Zhang, X Ning, G Li, L Shi Journal of Petroleum Science and Engineering 179, 1186-1200, 2019 | 53 | 2019 |
| Flow-Path Tracking Strategy in a Data-Driven Interwell Numerical Simulation Model for Waterflooding History Matching and Performance Prediction with Infill Wells H Zhao, L Xu, Z Guo, Q Zhang, W Liu, X Kang SPE Journal, 2019 | 43 | 2019 |
| History matching and production optimization of water flooding based on a data-driven interwell numerical simulation model H Zhao, Y Li, S Cui, G Shang, AC Reynolds, Z Guo, HA Li Journal of Natural Gas Science and Engineering 31, 48-66, 2016 | 42 | 2016 |
| Integration of Support Vector Regression With Distributed Gauss-Newton Optimization Method and Its Applications to the Uncertainty Assessment of Unconventional Assets Z Guo, C Chen, G Gao, R Cao, R Li, H Liu SPE Reservoir Evaluation & Engineering 21 (04), 1,007-1,026, 2018 | 41 | 2018 |
| Enhancing the Performance of the Distributed Gauss-Newton Optimization Method by Reducing the Effect of Numerical Noise and Truncation Error With Support-Vector Regression Z Guo, C Chen, G Gao, J Vink SPE Journal, 2018 | 38 | 2018 |
| EUR Assessment of Unconventional Assets Using Machine Learning and Distributed Computing Techniques Z Guo, C Chen, G Gao, R Cao, R Li, C Li Unconventional Resources Technology Conference, Austin, Texas, 24-26 July …, 2017 | 33 | 2017 |
| INSIM-FT-3D: A Three-Dimensional Data-Driven Model for History Matching and Waterflooding Optimization Z Guo, AC Reynolds SPE Reservoir Simulation Conference, 2019 | 24 | 2019 |
| Applying Support Vector Regression to Reduce the Effect of Numerical Noise and Enhance the Performance of History Matching Z Guo, C Chen, G Gao, J Vink SPE Annual Technical Conference and Exhibition, 2017 | 19 | 2017 |
| INSIM-FPT-3D: A Data-Driven Model for History Matching, Water-Breakthrough Prediction and Well-Connectivity Characterization in Three-Dimensional Reservoirs H Zhao, W Liu, X Rao, G Sheng, HA Li, Z Guo, D Liu, L Cao SPE Reservoir Simulation Conference, 2021 | 9 | 2021 |
| Streamline modeling for CO_2 miscible flooding in five-point scheme Z GUO, X WANG, C TANG, H LIU, J YANG Journal of Northeast Petroleum University, 16, 2012 | 6* | 2012 |
| Guided Deep Learning Manifold Linearization of Porous Media Flow Equations MJ Dall'Aqua, EJR Coutinho, E Gildin, Z Guo, H Zalavadia, S Sankaran SPE Reservoir Simulation Conference, 2023 | 4 | 2023 |
| History Matching, Prediction and Production Optimization with a Physics-Based Data-Driven Model Z Guo The University of Tulsa, 2018 | 4 | 2018 |
| Reservoir Modeling, History Matching, and Characterization with a Reservoir Graph Network Model Z Guo, S Sankaran, W Sun SPE Reservoir Evaluation & Engineering, 1-13, 2023 | 3 | 2023 |
| Modeling unconventional reservoirs using a graph network model Z Guo, S Sankaran Unconventional Resources Technology Conference, 20–22 June 2022, 3251-3262, 2022 | 3 | 2022 |
| Efficient Reservoir Management with a Reservoir Graph Network Model Z Guo, W Sun, S Sankaran SPE Western Regional Meeting, 2022 | 3 | 2022 |
| A Reduced-Physics Framework for Forecasting in Unconventional Reservoirs Z Guo, Y Li, S Sankaran SPE Reservoir Characterisation and Simulation Conference and Exhibition …, 2023 | 2 | 2023 |
