Shale characteristics impact on Nuclear Magnetic Resonance (NMR) fluid typing methods and correlations M Mehana, I El-monier Petroleum 2 (2), 138-147, 2016 | 101 | 2016 |
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 | 50 | 2020 |
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 | 48 | 2023 |
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 | 48 | 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 | 43 | 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 | 42 | 2020 |
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 | 39 | 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 | 35 | 2021 |
Coalbed methane characterization and modeling: review and outlook T Mohamed, M Mehana Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-23, 2020 | 35 | 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 | 32 | 2019 |
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 | 29 | 2020 |
Investigation of double layer expansion in low-salinity waterflooding: molecular simulation study M Mehana, MM Fahes SPE Western Regional Meeting, D051S013R009, 2018 | 29 | 2018 |
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 | 28 | 2021 |
Molecular modeling of subsurface phenomena related to petroleum engineering M Mehana, Q Kang, H Nasrabadi, H Viswanathan Energy & Fuels 35 (4), 2851-2869, 2021 | 21 | 2021 |
The density of oil/gas mixtures: insights from molecular simulations M Mehana, M Fahes, L Huang SPE Journal 23 (05), 1798-1808, 2018 | 20 | 2018 |
The Impact of the Geochemical Coupling on the Fate of Fracturing Fluid, Reservoir Characteristics and Early Well Performance in Shale Reservoirs. M Mehana, M Fahes SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition, SPE …, 2016 | 20 | 2016 |
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 | 18 | 2020 |
Monte Carlo simulation and production analysis for ultimate recovery estimation of shale wells M Mehana, J Callard, Q Kang, H Viswanathan Journal of Natural Gas Science and Engineering 83, 103584, 2020 | 17 | 2020 |
Machine learning for estimating rock mechanical properties beyond traditional considerations Y Gong*, M Mehana, I El-Monier, F Xu, F Xiong Unconventional Resources Technology Conference, Denver, Colorado, 22-24 July …, 2019 | 17 | 2019 |
The impact of salinity on water dynamics, hydrocarbon recovery and formation softening in Shale: experimental study M Mehana, M Al Salman, M Fahes SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition …, 2017 | 17 | 2017 |