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Représentation d'une huile dans des simulations mésoscopiques pour des applications EOR

Abstract : Chemical enhanced oil recovery techniques consist of injecting into a petroleum reservoir an Alkaline/Surfactant/Polymer formulation. This formulation aims at mobilizing the oil trapped in the reservoir by reducing the water/crude oil interfacial tension. Molecular simulations are adapted to improve the efficiency of such a process by providing information about phenomena occurring at the molecular and mesoscopic levels. Mesoscopic simulation methods, Dissipative Particle Dynamics and coarse grained Monte Carlo, have been used to quantitatively predict the water/crude interfacial tension. An approach to parameterize interactions between entities has been developed using liquid-liquid ternary systems. This approach has been validated to reproduce compositions of bulk phases and to quantitatively predict the interfacial tension. A representation methodology of crude oil has been developed. The crude oil was divided according to the number of carbon atoms into two fractions: C20- and C20+. A lumping approach was applied to the C20- fraction and a stochastic reconstruction approach was employed on the C20+ fraction. A crude oil representation with only 13 representative molecules was so-obtained. Simulations of the parameterized crude oil model provides interfacial tension values that are in good agreement with available experimental data.
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Submitted on : Wednesday, August 26, 2020 - 4:07:17 PM
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David Steinmetz. Représentation d'une huile dans des simulations mésoscopiques pour des applications EOR. Theoretical and/or physical chemistry. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS521⟩. ⟨tel-02922887⟩

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