| Influence of transport conditions on optimal injection rate for acid jetting in carbonate reservoirs D Ridner, T Frick, D Zhu, AD Hill, R Angeles, N Vishnumolakala, ... SPE Production & Operations 35 (01), 137-146, 2020 | 30 | 2020 |
| A comprehensive review of enhanced oil recovery projects in Canada and recommendations for planning successful future EOR projects N Vishnumolakala, J Zhang, NB Ismail SPE Canada Heavy Oil Conference, D041S009R001, 2020 | 17 | 2020 |
| A simulation environment for automatic managed pressure drilling control N Vishnumolakala, E Gildin, S Noynaert IFAC-PapersOnLine 48 (6), 128-133, 2015 | 15 | 2015 |
| Machine learning based intelligent downhole drilling optimization system using an electromagnetic short hop bit dynamic measurements E Z. Losoya, N Vishnumolakala, E Gildin, S Noynaert, Z Medina-Cetina, ... SPE Annual Technical Conference and Exhibition?, D021S011R004, 2020 | 9 | 2020 |
| Automatic identification of rock formation type while drilling using machine learning based data-driven models E Z Losoya, N Vishnumolakala, SF Noynaert, Z Medina-Cetina, ... IADC/SPE Asia Pacific Drilling Technology Conference, 2021 | 8 | 2021 |
| Progress Toward an Open-Source Drilling Community: Contributing and Curating Models RJ Shor, SS Kandala, E Gildin, SF Noynaert, EZ Losoya, V Kesireddy, ... SPE/IADC Drilling Conference and Exhibition, D021S017R003, 2022 | 7 | 2022 |
| Automatic control and optimization of drilling operations N Vishnumolakala | 4 | 2015 |
| The Use of Asphaltenes Precipitants and Environmentally Friendly Solvents During Solvent-Steam Processes A Ng, N Vishnumolakala, B Hascakir SPE Western Regional Meeting, San Jose, California, USA 2019, 2019 | 3 | 2019 |
| Maximizing efficiency of deep-reinforcement learning agents in autonomous directional drilling with hyperparameter optimization V Kesireddy, G Kompantsev, S Dey, E Gildin, EZ Losoya, ... Unconventional Resources Technology Conference, 13–15 June 2023, 2575-2590, 2023 | 2 | 2023 |
| Predicting Dysfunction Vibration Events while Drilling Using LSTM Recurrent Neural Networks N Vishnumolakala, DM Murphy, T Nguyen, EZ Losoya, VR Kesireddy, ... SPE Asia Pacific Oil and Gas Conference and Exhibition, D031S025R005, 2021 | 1 | 2021 |
| Optimizing Well Trajectory Navigation and Advanced Geo-Steering Using Deep-Reinforcement Learning N Vishnumolakala, V Kesireddy, S Dey, E Gildin, EZ Losoya SPE Annual Technical Conference and Exhibition?, D021S012R003, 2023 | | 2023 |
| Downhole Intelligence for Drilling Systems Using Supervised and Deep Reinforcement Learning Techniques N Vishnumolakala | | 2022 |
| E&P Notes (August 2015) J Betz, T Jacobs, S Rassenfoss Journal of Petroleum Technology 67 (08), 39-43, 2015 | | 2015 |
| DSATS Automated Drilling Competition Design Report JY Kim, P Mohan, N Vishnumolakala, T Zhai | | |
