%0 Journal Article
%@ 20794991
%A Al-Yaari, A.
%A Ching, D.L.C.
%A Sakidin, H.
%A Muthuvalu, M.S.
%A Zafar, M.
%A Alyousifi, Y.
%A Saeed, A.A.H.
%A Bilad, M.R.
%D 2022
%F scholars:17008
%I MDPI
%J Nanomaterials
%N 6
%R 10.3390/nano12061011
%T Thermophysical Properties of Nanofluid in Two-Phase Fluid Flow through a Porous Rectangular Medium for Enhanced Oil Recovery
%U https://khub.utp.edu.my/scholars/17008/
%V 12
%X It is necessary to sustain energy from an external reservoir or employ advanced technologies to enhance oil recovery. A greater volume of oil may be recovered by employing nanofluid flooding. In this study, we investigated oil extraction in a two-phase incompressible fluid in a two-dimensional rectangular porous homogenous area filled with oil and having no capillary pressure. The governing equations that were derived from Darcy�s law and the mass conservation law were solved using the finite element method. Compared to earlier research, a more efficient numerical model is proposed here. The proposed model allows for the cost-effective study of heating-based inlet fluid in enhanced oil recovery (EOR) and uses the empirical correlations of the nanofluid thermophysical properties on the relative permeability equations of the nanofluid and oil, so it is more accurate than other models to determine the higher recovery factor of one nanoparticle compared to other nanoparticles. Next, the effect of nanoparticle volume fraction on flooding was evaluated. EOR via nanofluid flooding processes and the effect of the intake temperatures (300 and 350 K) were also simulated by comparing three nanoparticles: SiO2, Al2 O3, and CuO. The results show that adding nanoparticles (<5 v) to a base fluid enhanced the oil recovery by more than 20. Increasing the inlet temperature enhanced the oil recovery due to changes in viscosity and density of oil. Increasing the relative permeability of nanofluid while simultaneously reducing the relative permeability of oil due to the presence of nanoparticles was the primary reason for EOR. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
%Z cited By 12