| Downhole multiphase metering in wells by means of soft-sensing M Leskens, B de Kruif, S Belfroid, J Smeulers, A Gryzlov SPE Intelligent Energy International Conference and Exhibition, SPE-112046-MS, 2008 | 31 | 2008 |
| Soft-sensors: Model-based estimation of inflow in horizontal wells using the extended Kalman filter A Gryzlov, W Schiferli, RF Mudde Flow Measurement and Instrumentation 34, 91-104, 2013 | 26 | 2013 |
| A semi-implicit approach for fast parameter estimation by means of the extended Kalman filter A Gryzlov, M Leskens, RF Mudde Journal of Process Control 21 (4), 510-518, 2011 | 18 | 2011 |
| Utilizing machine learning methods to estimate flowing bottom-hole pressure in unconventional gas condensate tight sand fractured wells in Saudi Arabia FH Al Shehri, A Gryzlov, T Al Tayyar, M Arsalan SPE Russian Petroleum Technology Conference?, D043S032R002, 2020 | 16 | 2020 |
| Model-based estimation of multi-phase flows in horizontal wells AN Gryzlov | 16 | 2011 |
| Reduced order reservoir simulation with neural-network based hybrid model P Temirchev, A Gubanova, R Kostoev, A Gryzlov, D Voloskov, D Koroteev, ... SPE Russian Petroleum Technology Conference?, D033S018R004, 2019 | 14 | 2019 |
| Intelligent Production Monitoring with Continuous Deep Learning Models A Gryzlov, S Safonov, M Arsalan SPE Journal, 1-17, 2022 | 12 | 2022 |
| Soft sensing for two-phase flow using an ensemble Kalman filter A Gryzlov, M Leskens, RF Mudde IFAC Proceedings Volumes 42 (11), 584-589, 2009 | 12 | 2009 |
| Evaluation of machine learning methods for prediction of multiphase production rates A Gryzlov, L Mironova, S Safonov, M Arsalan SPE Middle East Intelligent Oil and Gas Symposium, D011S004R002, 2021 | 10 | 2021 |
| Novel methods for production data forecast utilizing machine learning and dynamic mode decomposition A Gryzlov, S Safonov, M Alkhalaf, M Arsalan Abu Dhabi International Petroleum Exhibition and Conference, D011S018R002, 2020 | 9 | 2020 |
| Challenges with salinity measurements in multiphase flow metering A Gryzlov, E Undheim, E Nyfors, L Jordaan, SJ Alvaer, E Steinsland Emerson Process Management, Roxar Flow Measurements, 2012 | 6 | 2012 |
| Artificial intelligence and data analytics for virtual flow metering A Gryzlov, L Mironova, S Safonov, M Arsalan SPE Middle East Oil and Gas Show and Conference, D031S018R002, 2021 | 5 | 2021 |
| Inverse modelling of the inflow distribution for the liquid/gas flow in horizontal pipelines A Gryzlov, RF Mudde, W Schiferli BHR International Conference on Multiphase Production Technology, BHR-2009-A3, 2009 | 5 | 2009 |
| Fluid Mechanical Aspects of wet gas metering A Gryzlov, E Nyfors, L Jordaan, E Undheim, NA Braaten, SE Gregersen, ... SPE Russian Petroleum Technology Conference?, SPE-160464-MS, 2012 | 4 | 2012 |
| Dynamic Mode Decomposition for Virtual Flow Metering A Gryzlov, S Safonov, M AlKhalaf, M Arsalan Geomodel 2020 2020 (1), 1-5, 2020 | 2 | 2020 |
| Combining Machine Learning and a Multiphase Flow Model for Hybrid Virtual Flow Metering A Gryzlov, S Safonov, B Krasnopolsky, M Arsalan Abu Dhabi International Petroleum Exhibition and Conference, D031S108R005, 2023 | 1 | 2023 |
| Virtual Flow Metering as an Emerging Flow Measurement Technology A Gryzlov, M Arsalan International Petroleum Technology Conference, IPTC-23976-EA, 2024 | | 2024 |
| Data-driven model for control and optimization of hydrocarbon production A Gryzlov, S Safonov, M Alkhalaf, M Arsalan US Patent App. 17/497,492, 2023 | | 2023 |
| Method and system for multiphase flow meter using updated flow model based on simulated data A Gryzlov, S Safonov, M Alkhalaf, M Arsalan US Patent App. 17/363,188, 2023 | | 2023 |
| Automated Identification of Well Production Dynamics and Data Assimilation A Gryzlov, S Safonov, E Magadeev, M Arsalan Geomodel 2021 2021 (1), 1-5, 2021 | | 2021 |
Muhammad ArsalanAramco, EXPEC Advanced Research Center,Verified email at ARAMCO.com
