| Applying Machine-Learning Techniques To Interpret Flow-Rate, Pressure, and Temperature Data From Permanent Downhole Gauges C Tian, R Horne SPE Reservoir Evaluation & Engineering 22 (02), 386-401, 2019 | 91* | 2019 |
| Recurrent neural networks for permanent downhole gauge data analysis C Tian, RN Horne SPE Annual Technical Conference and Exhibition?, D011S008R007, 2017 | 82 | 2017 |
| Inferring interwell connectivity using production data C Tian, RN Horne SPE Annual Technical Conference and Exhibition?, D031S051R004, 2016 | 49 | 2016 |
| Machine learning applied to multiwell test analysis and flow rate reconstruction C Tian, RN Horne SPE Annual Technical Conference and Exhibition?, D021S013R006, 2015 | 41 | 2015 |
| Machine learning approaches for permanent downhole gauge data interpretation C Tian Stanford University, 2018 | 17 | 2018 |
| Pressure Transient Analysis of Polymer Flooding With Coexistence of Non-Newtonian and Newtonian Fluids MM Kamal, C Tian, F Suleen SPE Reservoir Evaluation & Engineering 22 (03), 1172-1184, 2019 | 15* | 2019 |
| Applying Machine Learning and Data Mining Techniques to Interpret Flow Rate, Pressure and Temperature Data from Permanent Downhole Gauges C Tian Stanford University, 2014 | 9 | 2014 |
Roland HorneProfessor, Stanford UniversityVerified email at stanford.edu
