| A machine learning analysis based on big data for eagle ford shale formation Y Liang, P Zhao SPE Annual Technical Conference and Exhibition?, D021S020R001, 2019 | 48 | 2019 |
| Mitigating lost circulation: a numerical assessment of wellbore strengthening P Zhao, CL Santana, Y Feng, KE Gray Journal of Petroleum Science and Engineering 157, 657-670, 2017 | 33 | 2017 |
| Regional to local machine-learning analysis for unconventional formation reserve estimation: Eagle Ford case study P Zhao, R Dong, Y Liang SPE Annual Technical Conference and Exhibition?, D021S006R004, 2020 | 18 | 2020 |
| Analytical and machine-learning analysis of hydraulic fracture-induced natural fracture slip P Zhao, KE Gray SPE Journal 26 (04), 1722-1738, 2021 | 9 | 2021 |
| Finite discrete-element modeling of multifracture propagation in fractured reservoirs P Zhao, KE Gray Journal of Petroleum Science and Engineering 208, 109229, 2022 | 6 | 2022 |
| System and method for improving integrity of cased wellbores HY Wang, P Zhao US Patent 10,655,414, 2020 | 3 | 2020 |
| Modeling lost circulation and assessing enhanced propagation resistance by fracture sealing P Zhao, KE Gray ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2017-0510, 2017 | 3 | 2017 |
| Mechanisms of fracture complexity and topology of fracture systems induced by hydraulic fracturing P Zhao | | 2020 |
| Numerical investigation of lost circulation and fracture resistance enhancement mechanism P Zhao | | 2016 |