| The first results of the Descramble project R Bertani, H Büsing, S Buske, A Dini, M Hjelstuen, M Luchini, A Manzella, ... Proceedings, 43rd workshop on geothermal reservoir engineering, Stanford …, 2018 | 42 | 2018 |
| Real-time optimization of rate of penetration during drilling operation D Sui, R Nybø, V Azizi 2013 10th IEEE International Conference on Control and Automation (ICCA …, 2013 | 40 | 2013 |
| Statistical method for detection of poor hole cleaning and stuck pipe TO Gulsrud, R Nybø, KS Bjørkevoll SPE Offshore Europe Conference and Exhibition, SPE-123374-MS, 2009 | 33 | 2009 |
| Real time model identification using multi-fidelity models in managed pressure drilling AN Eaton, LDR Beal, SD Thorpe, CB Hubbell, JD Hedengren, R Nybø, ... Computers & Chemical Engineering 97, 76-84, 2017 | 28 | 2017 |
| Ensemble methods for process monitoring in oil and gas industry operations D Sui, R Nybø, G Gola, D Roverso, M Hoffmann Journal of Natural Gas Science and Engineering 3 (6), 748-753, 2011 | 27 | 2011 |
| Spotting a False Alarm—Integrating Experience and Real-Time Analysis With Artificial Intelligence R Nybø, KS Bjørkevoll, R Rommetveit SPE Intelligent Energy International Conference and Exhibition, SPE-112212-MS, 2008 | 24 | 2008 |
| Ensemble model predictive control for robust automated managed pressure drilling AN Eaton, LD Beal, SD Thorpe, EH Janis, C Hubbell, JD Hedengren, ... SPE Annual Technical Conference and Exhibition?, D011S005R009, 2015 | 21 | 2015 |
| Regularized nonlinear moving-horizon observer with robustness to delayed and lost data TA Johansen, D Sui, R Nybø IEEE Transactions on Control Systems Technology 21 (6), 2114-2128, 2013 | 17 | 2013 |
| Fault detection and other time series opportunities in the petroleum industry R Nybø Neurocomputing 73 (10-12), 1987-1992, 2010 | 17 | 2010 |
| Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model J Park, C Price, D Pixton, M Aghito, R Nybø, K Bjørkevoll, JD Hedengren ISA transactions 105, 256-268, 2020 | 14 | 2020 |
| Closing the integration gap for the next generation of drilling decision support systems R Nybø, D Sui SPE Intelligent Energy International Conference and Exhibition, SPE-167864-MS, 2014 | 14 | 2014 |
| Improving management and control of drilling operations with artificial intelligence G Gola, R Nybø, D Sui, D Roverso SPE Intelligent Energy International Conference and Exhibition, SPE-150201-MS, 2012 | 14 | 2012 |
| The overlooked drilling hazard: Decision making from bad data R Nybø, J Frøyen, AD Lauvsnes, T Korsvold, M Choate SPE Intelligent Energy International, 2012 | 13 | 2012 |
| A moving horizon observer for estimation of bottomhole pressure during drilling D Sui, R Nybø, S Hovland, TA Johansen IFAC Proceedings Volumes 45 (8), 145-150, 2012 | 13 | 2012 |
| Efficient drilling problem detection R Nybø Norwegian University of Science and Technology Press: Trondheim, Norway, 2009 | 13 | 2009 |
| Getting the most out of networked drillstrings R Nybø, D Sui, J Petersen, J Frøyen, T Jackson, D Veeningen SPE Intelligent Energy International, 2012 | 9 | 2012 |
| the DESCRAMBLE Science and Technology Team, 2018,“The First Results of the DESCRAMBLE Project,” R Bertani, H Büsing, S Buske, A Dini, M Hjelstuen, M Luchini, A Manzella, ... Proceedings of the 43rd Workshop on Geothermal Reservoir Engineering …, 0 | 8 | |
| DEMO2000-Drilling Mud Process Control R El Boubsi, JA Andresen, G van Og, KS Bjørkevoll, R Nybo, JO Brevik, ... SPE Norway Subsurface Conference?, D011S004R003, 2017 | 6 | 2017 |
| Automatic model calibration for drilling automation M Aghito, KS Bjørkevoll, R Nybø, A Eaton, J Hedengren SPE Bergen One Day Seminar, 2017 | 6 | 2017 |
| Improved and robust drilling simulators using past real-time measurements and artificial intelligence R Nybø, KS Bjørkevoll, R Rommetveit, P Skalle, M Herbert SPE Europec featured at EAGE Conference and Exhibition?, SPE-113776-MS, 2008 | 6 | 2008 |
John HedengrenProfessor of Chemical Engineering, Brigham Young UniversityVerified email at byu.edu
