Mohamed Mehana

Dr. Mohamed Mehana

Los Alamos National Laboratory, P.O. Box 1663, Los Alamos, NM 87545, USA
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2024 in Geoenergy Science and Engineering
Verified
Journal Article
Closed access
ALAbdeldjalil Latrach
Abdeldjalil Latrach
MMMohamed L. Malki
Mohamed L. Malki
MMMisael Morales
Misael Morales
MMMohamed Mehana
Mohamed Mehana
MRMinou Rabiei
Minou Rabiei

26 February 2024 in Applied Energy
Verified
Journal Article
Closed access
SMShaowen Mao
Shaowen Mao
BCBailian Chen
Bailian Chen
MMMohamed Malki
Mohamed Malki
FCFangxuan Chen
Fangxuan Chen
MMMisael Morales
Misael Morales
MMMohamed Mehana
Mohamed Mehana

14 July 2024 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
MMMohamed L. Malki
Mohamed L. Malki
HCHichem Chellal
Hichem Chellal
SMShaowen Mao
Shaowen Mao
VRVamegh Rasouli
Vamegh Rasouli
MMMohamed Mehana
Mohamed Mehana

1 June 2016 in Petroleum
Verified
Journal Article
Open access
MMMohamed Mehana
Mohamed Mehana
IEIlham El-Monier
Ilham El-Monier
The development of shale reservoirs has brought a paradigm shift in the worldwide energy equation. This entails developing robust techniques to properly evaluate and unlock the potential of those reservoirs. The application of Nuclear Magnetic Resonance techniques in fluid typing and properties estimation is well-developed in conventional reservoirs. However, Shale reservoirs characteristics like pore size, organic matter, clay content, wettability, adsorption, and mineralogy would limit the applicability of the used interpretation methods and correlation. Some of these limitations include the inapplicability of the controlling equations that were derived assuming fast relaxation regime, the overlap of different fluids peaks and the lack of robust correlation to estimate fluid properties in shale. This study presents a state-of-the-art review of the main contributions presented on fluid typing methods and correlations in both experimental and theoretical side. The study involves Dual Tw, Dual Te, and doping agent's application, T1-T2, D-T2 and T2sec vs. T1/T2 methods. In addition, fluid properties estimation such as density, viscosity and the gas-oil ratio is discussed. This study investigates the applicability of these methods along with a study of the current fluid properties correlations and their limitations. Moreover, it recommends the appropriate method and correlation which are capable of tackling shale heterogeneity

1 October 2021 in Journal of Computational Physics
Verified
Journal Article
Closed access
KWKun Wang
Kun Wang
YCYu Chen
Yu Chen
MMMohamed Mehana
Mohamed Mehana
NLNicholas Lubbers
Nicholas Lubbers
KBKane C. Bennett
Kane C. Bennett
TGTimothy C. Germann
Timothy C. Germann

2 May 2024 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
SMShaowen Mao
Shaowen Mao
BCBailian Chen
Bailian Chen
MMMisael Morales
Misael Morales
MMMohamed Malki
Mohamed Malki
MMMohamed Mehana
Mohamed Mehana