| Self-learning reservoir management L Saputelli, M Nikolaou, MJ Economides SPE Annual Technical Conference and Exhibition, 2003 | 141 | 2003 |
| State of the art of artificial intelligence and predictive analytics in the E&P industry: a technology survey C Bravo, L Saputelli, F Rivas, AG Pérez, M Nikolaou, G Zangl, ... Spe Journal 19 (04), 547-563, 2014 | 119 | 2014 |
| Promoting real-time optimization of hydrocarbon producing systems LA Saputelli, S Mochizuki, L Hutchins, R Cramer, MB Anderson, ... SPE Offshore Europe Conference and Exhibition, SPE-83978-MS, 2003 | 110 | 2003 |
| Real-time reservoir management: A multiscale adaptive optimization and control approach L Saputelli, M Nikolaou, MJ Economides Computational Geosciences 10, 61-96, 2006 | 104 | 2006 |
| Real-time optimization: classification and assessment S Mochizuki, LA Saputelli, CS Kabir, R Cramer, MJ Lochmann, RD Reese, ... SPE Production & Operations 21 (04), 455-466, 2006 | 103 | 2006 |
| A critical overview of artificial neural network applications in the context of continuous oil field optimization L Saputelli, H Malki, J Canelon, M Nikolaou SPE Annual Technical Conference and Exhibition?, SPE-77703-MS, 2002 | 87 | 2002 |
| Best practices and lessons learned after 10 years of digital oilfield (DOF) implementations L Saputelli, B Cesar, N Michael, L Carlos, R Cramer, M Toshi, G Moricca SPE Kuwait Oil and Gas Show and Conference, SPE-167269-MS, 2013 | 65 | 2013 |
| Real-time decision-making for value creation while drilling L Saputelli, M Economides, M Nikolaou, V Kelessidis SPE/IADC Middle East Drilling Technology Conference and Exhibition, SPE-85314-MS, 2003 | 64 | 2003 |
| Systems and methods for optimization of real time production operations G Mijares, A Garcia, S Sankaran, J Rodriguez, L Saputelli, A Awasthi, ... US Patent 8,396,826, 2013 | 61 | 2013 |
| Applying big data analytics to detect, diagnose, and prevent impending failures in electric submersible pumps S Gupta, L Saputelli, M Nikolaou SPE Annual Technical Conference and Exhibition?, D031S038R004, 2016 | 54 | 2016 |
| Design optimization of horizontal wells with multiple hydraulic fractures in the Bakken Shale L Saputelli, C Lopez, A Chacon, M Soliman SPE/EAGE European Unconventional Resources Conference and Exhibition, 2014 | 41 | 2014 |
| Machine learning in the oil and gas industry YN Pandey, A Rastogi, S Kainkaryam, S Bhattacharya, L Saputelli Mach Learning in Oil Gas Industry, 2020 | 37 | 2020 |
| Production optimization—a moving-horizon approach M Nikolaou, AS Cullick, L Saputelli SPE Intelligent Energy International Conference and Exhibition, SPE-99358-MS, 2006 | 37 | 2006 |
| ESP health monitoring KPI: a real-time predictive analytics application S Gupta, M Nikolaou, L Saputelli, C Bravo SPE Intelligent Energy International Conference and Exhibition, SPE-181009-MS, 2016 | 35 | 2016 |
| Monitoring steamflood performance through fiber optic temperature sensing L Saputelli, H Mendoza, J Finol, L Rojas, E Lopez, H Bravo, S Buitriago Paper SPE 54104 presented at the International Thermal Operations and Heavy …, 1999 | 35 | 1999 |
| Big data analytics workflow to safeguard ESP operations in real-time S Gupta, L Saputelli, M Nikolaou SPE Artificial Lift Conference and Exhibition-Americas?, D021S004R003, 2016 | 34 | 2016 |
| Production forecasting in shale reservoirs through conventional DCA and machine/deep learning methods C Temizel, CH Canbaz, O Saracoglu, D Putra, A Baser, T Erfando, ... Unconventional Resources Technology Conference, 20–22 July 2020, 4843-4894, 2020 | 30 | 2020 |
| Integration of subsurface, surface and economics under uncertainty in orocual field R Rodríguez, K Solano, S Guevara, M Velásquez, L Saputelli SPE Latin America and Caribbean Petroleum Engineering Conference, SPE-107259-MS, 2007 | 29 | 2007 |
| Production forecasting in shale reservoirs using LSTM method in deep learning C Temizel, CH Canbaz, O Saracoglu, D Putra, A Baser, T Erfando, ... Unconventional Resources Technology Conference (URTEC), 2020 | 28 | 2020 |
| Waterflood performance diagnosis and optimization using data-driven predictive analytical techniques from capacitance resistance models CRM R Kansao, A Yrigoyen, Z Haris, L Saputelli SPE Europec featured at EAGE Conference and Exhibition?, D042S016R004, 2017 | 28 | 2017 |
Michael NikolaouProfessor, Chemical & Biomolecular Engineering - Petroleum Engineering, University of Houston在 uh.edu 的电子邮件经过验证
