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Mohamed Mehana
Mohamed Mehana
Zweryfikowany adres z lanl.gov
Tytuł
Cytowane przez
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Rok
Shale characteristics impact on Nuclear Magnetic Resonance (NMR) fluid typing methods and correlations
M Mehana, I El-monier
Petroleum 2 (2), 138-147, 2016
1012016
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
482020
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
482018
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
392020
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
392019
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
382020
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
372023
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
352021
Coalbed methane characterization and modeling: review and outlook
T Mohamed, M Mehana
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-23, 2020
332020
Asphaltene aggregation in oil and gas mixtures: Insights from molecular simulation
M Mehana, M Fahes, L Huang
Energy & fuels 33 (6), 4721-4730, 2019
302019
Investigation of double layer expansion in low-salinity waterflooding: molecular simulation study
M Mehana, MM Fahes
SPE Western Regional Meeting, D051S013R009, 2018
292018
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
272020
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
262021
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
202016
The density of oil/gas mixtures: insights from molecular simulations
M Mehana, M Fahes, L Huang
SPE Journal 23 (05), 1798-1808, 2018
192018
Molecular modeling of subsurface phenomena related to petroleum engineering
M Mehana, Q Kang, H Nasrabadi, H Viswanathan
Energy & Fuels 35 (4), 2851-2869, 2021
172021
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
172019
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
172017
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
162020
Numerical investigation of the osmatic flow impact on the load recovery and early well performance
M Mehana, I El-Monier
Journal of Petroleum Engineering and Technology 5 (03), 2015
152015
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