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Cheng, L. Y.; Domingos, R. G.;

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The computational simulation of petroleum production systems gained great importance in the last years. This is due to the interest of the industry in developing new methods of secondary oil recovery, which will allow an increase in the recovery rates at rea-sonable costs. Within this context, the study of the multiphase flow through porous media, which allows a better comprehension of the physical phenomena inside a complex medium such as a reservoir rock, is of great interest. The present study uses the Moving Particle Semi-Implicit (MPS) method to model the multiphase flow through a porous medium. MPS is a fully lagrangean, meshless method that discretizes the simulation domain in particles. It solves the mass and moment conservation equations by using the differential operators derived from a particle interaction model.As a study case, the flow of two immiscible fluids – oil and water – through a sandstone sample was simulated. The geometry of the sandstone sample was ob-tained by a high resolution CT scan of a real porous rock and has a volume of 1 mm3. Vari-ous situations of wettability were simulated to study its influence on oil recovery in the sam-ple. This was accomplished by varying the contact angle between the fluids and the solid ma-trix of the rock. It was verified that higher recovery rates are obtained when water wets the surface of the grains with more strength than the oil.

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Palavras-chave: Particle methods, Numerical simulation, Multiphase flow,


DOI: 10.5151/meceng-wccm2012-19789

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Como citar:

Cheng, L. Y.; Domingos, R. G.; "GRAINSCALE SIMULATION OF MULTIPHASE FLUID FLOW IN POROUS ME-DIA", p. 4201-4213 . In: In Proceedings of the 10th World Congress on Computational Mechanics [= Blucher Mechanical Engineering Proceedings, v. 1, n. 1]. São Paulo: Blucher, 2014.
ISSN 2358-0828, DOI 10.5151/meceng-wccm2012-19789

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