TY - JOUR
T1 - Convergence analysis of the nonlinear iterative method for two-phase flow in porous media associated with nanoparticle injection
AU - El-Amin, Mohamed
AU - Kou, Jisheng
AU - Sun, Shuyu
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2017/8/29
Y1 - 2017/8/29
N2 - Purpose
In this paper, we introduce modeling, numerical simulation, and convergence analysis of the problem nanoparticles transport carried by a two-phase flow in a porous medium. The model consists of equations of pressure, saturation, nanoparticles concentration, deposited nanoparticles concentration on the pore-walls, and entrapped nanoparticles concentration in pore-throats.
Design/methodology/approach
Nonlinear iterative IMPES-IMC (IMplicit Pressure Explicit Saturation–IMplicit Concentration) scheme is used to solve the problem under consideration. The governing equations are discretized using the cell-centered finite difference (CCFD) method. The pressure and saturation equations are coupled to calculate the pressure, then the saturation is updated explicitly. Therefore, the equations of nanoparticles concentration, the deposited nanoparticles concentration on the pore walls and the entrapped nanoparticles concentration in pore throats are computed implicitly. Then, the porosity and the permeability variations are updated.
Findings
We stated and proved three lemmas and one theorem for the convergence of the iterative method under the natural conditions and some continuity and boundedness assumptions. The theorem is proved by induction states that after a number of iterations the sequences of the dependent variables such as saturation and concentrations approach solutions on the next time step. Moreover, two numerical examples are introduced with convergence test in terms of Courant–Friedrichs–Lewy (CFL) condition and a relaxation factor. Dependent variables such as pressure, saturation, concentration, deposited concentrations, porosity and permeability are plotted as contours in graphs, while the error estimations are presented in table for different values of number of time steps, number of iterations and mesh size.
Research limitations/implications
The domain of the computations is relatively small however, it is straightforward to extend this method to oil reservoir (large) domain keeping similar definitions of CFL number and other physical parameters.
Originality/value
The model of the problem under consideration is not studied before. Also, both solution technique and convergence analysis are not used before with this model.
AB - Purpose
In this paper, we introduce modeling, numerical simulation, and convergence analysis of the problem nanoparticles transport carried by a two-phase flow in a porous medium. The model consists of equations of pressure, saturation, nanoparticles concentration, deposited nanoparticles concentration on the pore-walls, and entrapped nanoparticles concentration in pore-throats.
Design/methodology/approach
Nonlinear iterative IMPES-IMC (IMplicit Pressure Explicit Saturation–IMplicit Concentration) scheme is used to solve the problem under consideration. The governing equations are discretized using the cell-centered finite difference (CCFD) method. The pressure and saturation equations are coupled to calculate the pressure, then the saturation is updated explicitly. Therefore, the equations of nanoparticles concentration, the deposited nanoparticles concentration on the pore walls and the entrapped nanoparticles concentration in pore throats are computed implicitly. Then, the porosity and the permeability variations are updated.
Findings
We stated and proved three lemmas and one theorem for the convergence of the iterative method under the natural conditions and some continuity and boundedness assumptions. The theorem is proved by induction states that after a number of iterations the sequences of the dependent variables such as saturation and concentrations approach solutions on the next time step. Moreover, two numerical examples are introduced with convergence test in terms of Courant–Friedrichs–Lewy (CFL) condition and a relaxation factor. Dependent variables such as pressure, saturation, concentration, deposited concentrations, porosity and permeability are plotted as contours in graphs, while the error estimations are presented in table for different values of number of time steps, number of iterations and mesh size.
Research limitations/implications
The domain of the computations is relatively small however, it is straightforward to extend this method to oil reservoir (large) domain keeping similar definitions of CFL number and other physical parameters.
Originality/value
The model of the problem under consideration is not studied before. Also, both solution technique and convergence analysis are not used before with this model.
UR - http://hdl.handle.net/10754/626001
UR - http://www.emeraldinsight.com/doi/abs/10.1108/HFF-05-2016-0210
UR - http://www.scopus.com/inward/record.url?scp=85027368219&partnerID=8YFLogxK
U2 - 10.1108/hff-05-2016-0210
DO - 10.1108/hff-05-2016-0210
M3 - Article
SN - 0961-5539
VL - 27
SP - 2289
EP - 2317
JO - International Journal of Numerical Methods for Heat & Fluid Flow
JF - International Journal of Numerical Methods for Heat & Fluid Flow
IS - 10
ER -