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Accueil Tous les numéros Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles, 71 5 (2016) 62 Article's citations

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Article cité :

Review of the Interfacial Structure and Properties of Surfactants in Petroleum Production and Geological Storage Systems from a Molecular Scale Perspective

Jihui Jia, Shu Yang, Jingwei Li, Yunfeng Liang, Rongjuan Li, Takeshi Tsuji, Ben Niu and Bo Peng
Molecules 29 (13) 3230 (2024)
https://doi.org/10.3390/molecules29133230

Reliable Equivalent Alkane Carbon Number Determination for Dead and Live Crudes in Microemulsion Systems

Hanif F. Yoga, Nijat R. Gasimli and Russell T. Johns
SPE Journal 29 (09) 4935 (2024)
https://doi.org/10.2118/221470-PA

Microemulsion phase behavior of live crude oil and revisiting the EACN framework for crude oils

Sung Hyun Jang and Gary A. Pope
Colloids and Surfaces A: Physicochemical and Engineering Aspects 670 131565 (2023)
https://doi.org/10.1016/j.colsurfa.2023.131565

An exception to linearity in EACN framework: Twin-tail lipophiles and n-alkanes interactions

Sung Hyun Jang and Gary A. Pope
Colloids and Surfaces A: Physicochemical and Engineering Aspects 665 131194 (2023)
https://doi.org/10.1016/j.colsurfa.2023.131194

Revisiting the effect of oil type and pressure on optimum salinity of EOR surfactant formulation using phase behavior evaluation

Murad Hajiyev, Ahmed Farid Ibrahim, Khaled Z. Abdelgawad, Abdulazeez Alkhateeb and Shirish Patil
Geoenergy Science and Engineering 230 212259 (2023)
https://doi.org/10.1016/j.geoen.2023.212259

Using Microemulsion Phase Behavior as a Predictive Model for Lecithin–Tween 80 Marine Oil Dispersant Effectiveness

Louis G. Corcoran, Brian A. Saldana Almaraz, Kamilah Y. Amen, et al.
Langmuir 37 (27) 8115 (2021)
https://doi.org/10.1021/acs.langmuir.1c00651

Effect of Live-Crude-Oil Composition on Optimal Salinity of a Surfactant Formulation: Experiments and Modeling

Claire Marliere and Benoit Creton
SPE Reservoir Evaluation & Engineering 23 (02) 388 (2020)
https://doi.org/10.2118/179792-PA

Equivalent alkane carbon number of crude oils: A predictive model based on machine learning

Benoit Creton, Isabelle Lévêque and Fanny Oukhemanou
Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 74 30 (2019)
https://doi.org/10.2516/ogst/2019002

Chemoinformatics at IFP Energies Nouvelles: Applications in the Fields of Energy, Transport, and Environment

Benoit Creton
Molecular Informatics 36 (10) (2017)
https://doi.org/10.1002/minf.201700028

Claire Marliere, Benoit Creton, Fanny Oukhemanou, Nicolas Wartenberg, Tiphaine Courtaud, Christophe Féjean, Stéphane Betoulle, Denis Defiolle and Pascal Mougin
(2016)
https://doi.org/10.2118/179792-MS