| Shale characteristics impact on Nuclear Magnetic Resonance (NMR) fluid typing methods and correlations M Mehana, I El-monier Petroleum 2 (2), 138-147, 2016 | 105 | 2016 |
| Capacity assessment and cost analysis of geologic storage of hydrogen: A case study in Intermountain-West Region USA F Chen, Z Ma, H Nasrabadi, B Chen, MZS Mehana, J Van Wijk International Journal of Hydrogen Energy 48 (24), 9008-9022, 2023 | 77 | 2023 |
| Proppant placement in complex fracture geometries: A computational fluid dynamics study Y Gong, M Mehana, I El-Monier, H Viswanathan Journal of Natural Gas Science and Engineering 79, 103295, 2020 | 61 | 2020 |
| Coalbed methane characterization and modeling: review and outlook T Mohamed, M Mehana Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 47 …, 2020 | 53* | 2020 |
| Impact of salinity and mineralogy on slick water spontaneous imbibition and formation strength in shale M Mehana, M Al Salman, M Fahes Energy & fuels 32 (5), 5725-5735, 2018 | 53 | 2018 |
| The impact of asphaltene deposition on fluid flow in sandstone M Mehana, J Abraham, M Fahes Journal of Petroleum Science and Engineering 174, 676-681, 2019 | 47 | 2019 |
| Reduced methane recovery at high pressure due to methane trapping in shale nanopores CW Neil, M Mehana, RP Hjelm, ME Hawley, EB Watkins, Y Mao, ... Communications Earth & Environment 1 (1), 49, 2020 | 46 | 2020 |
| Machine-learning predictions of the shale wells’ performance M Mehana, E Guiltinan, V Vesselinov, R Middleton, JD Hyman, Q Kang, ... Journal of Natural Gas Science and Engineering 88, 103819, 2021 | 44 | 2021 |
| Modeling nanoconfinement effects using active learning JE Santos, M Mehana, H Wu, M Prodanovic, Q Kang, N Lubbers, ... The Journal of Physical Chemistry C 124 (40), 22200-22211, 2020 | 44 | 2020 |
| A physics-informed and hierarchically regularized data-driven model for predicting fluid flow through porous media K Wang, Y Chen, M Mehana, N Lubbers, KC Bennett, Q Kang, ... Journal of Computational Physics 443, 110526, 2021 | 41 | 2021 |
| Modeling and scale-bridging using machine learning: Nanoconfinement effects in porous media N Lubbers, A Agarwal, Y Chen, S Son, M Mehana, Q Kang, S Karra, ... Scientific reports 10 (1), 13312, 2020 | 34 | 2020 |
| Asphaltene aggregation in oil and gas mixtures: Insights from molecular simulation M Mehana, M Fahes, L Huang Energy & Fuels 33 (6), 4721-4730, 2019 | 34 | 2019 |
| Investigation of double layer expansion in low-salinity waterflooding: molecular simulation study M Mehana, MM Fahes SPE Western Regional Meeting, D051S013R009, 2018 | 31 | 2018 |
| Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning S Mao, B Chen, M Malki, F Chen, M Morales, Z Ma, M Mehana Applied Energy 361, 122914, 2024 | 28 | 2024 |
| Role of large-scale underground hydrogen storage and its pathways to achieve net-zero in China Y Chen, X Jin, L Zeng, Z Zhong, M Mehana, W Xiao, W Pu, ... Journal of Energy Storage 72, 108448, 2023 | 27 | 2023 |
| A critical review of physics-informed machine learning applications in subsurface energy systems A Latrach, ML Malki, M Morales, M Mehana, M Rabiei Geoenergy Science and Engineering, 212938, 2024 | 26 | 2024 |
| Molecular simulation of hydrogen-shale gas system phase behavior under multiscale conditions: a molecular-level analysis of hydrogen storage in shale gas reservoirs F Chen, M Mehana, H Nasrabadi Energy & Fuels 37 (3), 2449-2456, 2023 | 24 | 2023 |
| Molecular modeling of subsurface phenomena related to petroleum engineering M Mehana, Q Kang, H Nasrabadi, H Viswanathan Energy & Fuels 35 (4), 2851-2869, 2021 | 23 | 2021 |
| Molecular simulation of double layer expansion mechanism during low-salinity waterflooding M Mehana, M Fahes, Q Kang, H Viswanathan Journal of Molecular Liquids 318, 114079, 2020 | 23 | 2020 |
| The density of oil/gas mixtures: insights from molecular simulations M Mehana, M Fahes, L Huang SPE Journal 23 (05), 1798-1808, 2018 | 23 | 2018 |
Qinjun KangScientist, Los Alamos National LaboratoryBestätigte E-Mail-Adresse bei lanl.gov