| Time series data analysis for automatic flow influx detection during drilling H Tang, S Zhang, F Zhang, S Venugopal Journal of Petroleum Science and Engineering 172, 1103-1111, 2019 | 63 | 2019 |
| Drill pipe oscillation regime for slide drilling C Gillan, C Rolong, M Hadi, A Groover, S Venugopal US Patent 10,094,209, 2018 | 21 | 2018 |
| Mitigation of rotational vibration using a torsional tuned mass damper S Venugopal, JR Jain, H Reckmann, B Meyer-Heye US Patent 9,476,261, 2016 | 17 | 2016 |
| Exploiting phase fluctuations to improve machine performance monitoring S Venugopal, RA Wagstaff, JP Sharma IEEE Transactions on Automation Science and Engineering 4 (2), 153-166, 2007 | 14 | 2007 |
| Framework for Prediction of NPT causes using Unstructured Reports S Priyadarshy, A Taylor, A Dev, S Venugopal, GG Nair Offshore Technology Conference, D041S046R006, 2017 | 11 | 2017 |
| Automatic abnormal trend detection of real time drilling data for hazard avoidance H Tang, S Zhang, F Zhang, S Venugopal, Y Mao | 4 | 2019 |
| Robust early kick detection using real time drilling S Zhang, H Tang, F Zhang, S Venugopal, P McCormack US Patent 11,255,180, 2022 | 1 | 2022 |
| Fusion of vibration based features for gear condition classification S Venugopal The University of Alabama, 2008 | 1 | 2008 |
| Vibration and Acoustic Monitoring of Bearing Faults in Machines with Phase Fluctuations S Venugopal University of Mississippi, 2003 | 1 | 2003 |
| Drill bit repair type prediction using machine learning AP Singh, R Nielsen, S Priyadarshy, A Dev, GG Nair, S Venugopal US Patent 11,676,000, 2023 | | 2023 |
| Robust early kick detection using real time data S ZHANG, H TANG, F ZHANG, S VENUGOPAL, P MCCORMACK | | 2019 |
| A TUTORIAL ON APPLYING ARTIFICIAL NEURAL NETWORKS AND GEOMETRIC BROWNIAN MOTION TO PREDICT A STOCHASTIC TIME SERIES S Venugopal | | |
| Optimal drilling parameter machine learning system and methods S Venugopal, N Vinay | | |
