| Theoretical investigation of the transition from spontaneous to forced imbibition L Deng, MJ King SPE Journal 24 (01), 215-229, 2019 | 54 | 2019 |
| Capillary corrections to Buckley-Leverett flow L Deng, MJ King SPE Annual Technical Conference and Exhibition, 2015 | 34 | 2015 |
| Machine-learning-assisted closed-loop reservoir management using echo state network for mature fields under waterflood L Deng, Y Pan SPE Reservoir Evaluation & Engineering 23 (04), 1298-1313, 2020 | 32 | 2020 |
| An effective physics-based deep learning model for enhancing production surveillance and analysis in unconventional reservoirs Y Pan, R Bi, P Zhou, L Deng, J Lee SPE/AAPG/SEG Unconventional Resources Technology Conference, 2019 | 28 | 2019 |
| Theoretical investigation of water blocking in unconventional reservoirs due to spontaneous imbibition and water adsorption L Deng, MJ King Unconventional Resources Technology Conference, Houston, Texas, 23-25 July …, 2018 | 28 | 2018 |
| Deep-learning-based automated stratigraphic correlation Y Tokpanov, J Smith, Z Ma, L Deng, W Benhallam, A Salehi, X Zhai, ... SPE Annual Technical Conference and Exhibition, 2020 | 27 | 2020 |
| Production analysis and forecasting for unconventional reservoirs using Laplacian echo-state networks Y Pan, P Zhou, L Deng, J Lee SPE Western Regional Meeting, 2019 | 26 | 2019 |
| Data-driven proxy model for waterflood performance prediction and optimization using Echo State Network with Teacher Forcing in mature fields L Deng, Y Pan Journal of Petroleum Science and Engineering 197, 107981, 2021 | 24 | 2021 |
| A novel data-driven pressure/rate deconvolution algorithm to enhance production data analysis in unconventional reservoirs Y Pan, L Deng, WJ Lee Journal of Petroleum Science and Engineering 192, 107332, 2020 | 23 | 2020 |
| Application of physics-informed neural networks for self-similar and transient solutions of spontaneous imbibition L Deng, Y Pan Journal of Petroleum Science and Engineering 203, 108644, 2021 | 22 | 2021 |
| Hypervolume-based multiobjective optimization for gas lift systems L Deng, F Olalotiti-Lawal, E Davani, D Castiñeira SPE Oklahoma City Oil and Gas Symposium, 2019 | 19 | 2019 |
| Rapid and comprehensive artificial lift systems performance analysis through data analytics, diagnostics and solution evaluation L Deng, E Davani, H Darabi, VS Suicmez, D Castineira SPE Middle East Artificial Lift Conference and Exhibition, 2018 | 19 | 2018 |
| Estimation of relative permeability from laboratory displacement experiments application of the analytic solution with capillary corrections L Deng, MJ King Abu Dhabi International Petroleum Exhibition & Conference, 2016 | 18 | 2016 |
| Laplacian Echo-State Networks for production analysis and forecasting in unconventional reservoirs Y Pan, L Deng, P Zhou, WJ Lee Journal of Petroleum Science and Engineering 207, 109068, 2021 | 15 | 2021 |
| Data-Driven Deconvolution Using Echo-State Networks Enhances Production Data Analysis in Unconventional Reservoirs Y Pan, L Deng, J Lee SPE Eastern Regional Meeting, 2019 | 13 | 2019 |
| Theoretical investigation of two-ends-open free spontaneous imbibition L Deng, MJ King Computational Geosciences 24 (2), 933-949, 2020 | 11 | 2020 |
| A Data-Driven Workflow for Identifying Optimum Horizontal Subsurface Targets A Salehi, I Arslan, L Deng, H Darabi, J Smith, S Suicmez, D Castiñeira, ... SPE Annual Technical Conference and Exhibition, 2021 | 6 | 2021 |
| Automated Gas Lift System Optimization Through Combined Data Analytics and Wellbore Modeling Approach: A Case Study in an Offshore Middle East Oilfield M Surendra, L Deng, R Kansao, E Davani, H Darabi, D Castineira SPE Annual Technical Conference and Exhibition, 2020 | 5 | 2020 |
| Automated Well Production and Gas Lift System Diagnostics and Optimization Using Augmented AI Approach in a Complex Offshore Field M Elwan, E Davani, SG Ghedan, H Mousa, R Kansao, M Surendra, ... SPE Annual Technical Conference and Exhibition, 2021 | 4 | 2021 |
| A Novel Probabilistic Approach for GOR Forecast in Unconventional Oil Reservoirs Y Pan, G Li, J Qin, J Zhang, L Deng, R Bi Unconventional Resources Technology Conference, 26–28 July 2021, 1811-1830, 2021 | 3 | 2021 |
