| Insights to fracture stimulation design in unconventional reservoirs based on machine learning modeling S Wang, S Chen Journal of Petroleum Science and Engineering 174, 682-695, 2019 | 207 | 2019 |
| Flow behavior of gas confined in nanoporous shale at high pressure: Real gas effect K Wu, Z Chen, X Li, J Xu, J Li, K Wang, H Wang, S Wang, X Dong Fuel 205, 173-183, 2017 | 189 | 2017 |
| Applicability of deep neural networks on production forecasting in Bakken shale reservoirs S Wang, Z Chen, S Chen Journal of Petroleum Science and Engineering 179, 112-125, 2019 | 128 | 2019 |
| CO 2 foam properties and the stabilizing mechanism of sodium bis (2-ethylhexyl) sulfosuccinate and hydrophobic nanoparticle mixtures C Zhang, Z Li, Q Sun, P Wang, S Wang, W Liu Soft Matter 12 (3), 946-956, 2016 | 98 | 2016 |
| Manipulating the flow of nanoconfined water by temperature stimulation K Wu, Z Chen, J Li, J Xu, K Wang, S Wang, X Dong, Z Zhu, Y Peng, X Jia, ... Angewandte Chemie 130 (28), 8568-8573, 2018 | 64 | 2018 |
| Characterization of Produced and Residual Oils in the CO2 Flooding Process S Wang, S Chen, Z Li Energy & Fuels 30 (1), 54-62, 2016 | 60 | 2016 |
| Simulation and Optimization of CO2 Huff-and-Puff Processes in Tight Oil Reservoirs B Kong, S Wang, S Chen SPE Improved Oil Recovery Conference?, SPE-179668-MS, 2016 | 59 | 2016 |
| Accurate Determination of the CO2–Brine Interfacial Tension Using Graphical Alternating Conditional Expectation Z Li, S Wang, S Li, W Liu, B Li, QC Lv Energy & fuels 28 (1), 624-635, 2014 | 53 | 2014 |
| Characterization of adsorption isotherm and density profile in cylindrical nanopores: modeling and measurement Y Pang, X Hu, S Wang, S Chen, MY Soliman, H Deng Chemical Engineering Journal 396, 125212, 2020 | 51 | 2020 |
| Estimation of CO2–brine interfacial tension using an artificial neural network J Zhang, Q Feng, S Wang, X Zhang, S Wang The Journal of Supercritical Fluids 107, 31-37, 2016 | 46 | 2016 |
| A Supervised Learning Approach for Accurate Modeling of CO2–Brine Interfacial Tension with Application in Identifying the Optimum Sequestration Depth in Saline … J Zhang, Q Feng, X Zhang, C Shu, S Wang, K Wu Energy & Fuels 34 (6), 7353-7362, 2020 | 41 | 2020 |
| Approximate analytical-pressure studies on dual-porosity reservoirs with stress-sensitive permeability S Wang, M Ma, W Ding, M Lin, S Chen SPE Reservoir Evaluation & Engineering 18 (04), 523-533, 2015 | 36 | 2015 |
| Application of the long short-term memory networks for well-testing data interpretation in tight reservoirs S Wang, S Chen Journal of Petroleum Science and Engineering 183, 106391, 2019 | 35 | 2019 |
| Investigation on Two Mw 3.6 and Mw 4.1 Earthquakes Triggered by Poroelastic Effects of Hydraulic Fracturing Operations Near Crooked Lake, Alberta G Hui, S Chen, Z Chen, Y He, S Wang, F Gu Journal of Geophysical Research: Solid Earth 126 (5), e2020JB020308, 2021 | 31 | 2021 |
| Ultrahigh water flow enhancement by optimizing nanopore chemistry and geometry K Wu, Z Chen, J Li, J Xu, K Wang, R Li, S Wang, X Dong Langmuir 35 (26), 8867-8873, 2019 | 30 | 2019 |
| Application of PC-SAFT Equation of State for CO2 Minimum Miscibility Pressure Prediction in Nanopores S Wang, M Ma, S Chen SPE Improved Oil Recovery Conference?, SPE-179535-MS, 2016 | 30 | 2016 |
| A comprehensive evaluation of well completion and production performance in Bakken shale using data-driven approaches S Wang, S Chen SPE Asia Pacific Hydraulic Fracturing Conference, D011S002R005, 2016 | 28 | 2016 |
| Minimize formation damage in water-sensitive unconventional reservoirs by using energized fracturing fluid B Kong, S Wang, S Chen, K Dong SPE International Conference and Exhibition on Formation Damage Control …, 2016 | 25 | 2016 |
| Evaluation and prediction of hydraulic fractured well performance in Montney Formations using a data-driven approach S Wang, S Chen SPE Western Regional Meeting, SPE-180416-MS, 2016 | 23 | 2016 |
| Optimization of machine learning approaches for shale gas production forecast M Wang, G Hui, Y Pang, S Wang, S Chen Geoenergy Science and Engineering 226, 211719, 2023 | 20 | 2023 |
Keliu WuChina University of Petroleum, Beijing; University of CalgaryVerified email at cup.edu.cn