Authors

  • Alisherov Akramboy Alisherovich
    Samarkand City Specialized Boarding School No. 1., Uzbekistan

DOI:

https://doi.org/10.37547/ajast/Volume04Issue10-07

Keywords:

Filtration processes liquid solutions mathematical model

Abstract

Filtration processes of liquid solutions are fundamental in many natural and industrial applications, such as environmental protection, chemical engineering, water purification, and petroleum extraction. This article develops a mathematical model for describing filtration processes and explores various numerical methods for solving the governing equations. The model is based on Darcy’s law, continuity equation, and constitutive relations of liquid solutions in porous media. Numerical methods, including finite difference, finite element, and finite volume approaches, are discussed with applications to various filtration scenarios. We also provide analysis of the stability, convergence, and efficiency of these methods.


background image

Volume 04 Issue 10-2024

43


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

04

ISSUE

10

Pages:

43-47

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

ABSTRACT

Filtration processes of liquid solutions are fundamental in many natural and industrial applications, such as
environmental protection, chemical engineering, water purification, and petroleum extraction. This article develops a
mathematical model for describing filtration processes and explores various numerical methods for solving the

governing equations. The model is based on Darcy’s law, continuity equation, and constitutive relations of liquid

solutions in porous media. Numerical methods, including finite difference, finite element, and finite volume
approaches, are discussed with applications to various filtration scenarios. We also provide analysis of the stability,
convergence, and efficiency of these methods.

KEYWORDS

Filtration

processes, liquid solutions, mathematical model, Darcy’s law, numerical methods, finite difference, finite

element, finite volume, porous media.

INTRODUCTION

Filtration processes are critical for understanding fluid
transport through porous media. These processes
have broad applications, from the extraction of
hydrocarbons from oil reservoirs to the treatment of

polluted groundwater and industrial filtration systems.
Understanding how liquids move through porous
structures requires robust mathematical models and
efficient numerical methods to solve them.

Research Article

MATHEMATICAL MODEL AND NUMERICAL METHODS OF FILTRATION
PROCESSES OF LIQUID SOLUTIONS

Submission Date:

October 02, 2024,

Accepted Date:

October 07, 2024,

Published Date:

October 12, 2024

Crossref doi:

https://doi.org/10.37547/ajast/Volume04Issue10-07

Alisherov Akramboy Alisherovich

Samarkand City Specialized Boarding School No. 1., Uzbekistan


Journal

Website:

https://theusajournals.
com/index.php/ajast

Copyright:

Original

content from this work
may be used under the
terms of the creative
commons

attributes

4.0 licence.


background image

Volume 04 Issue 10-2024

44


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

04

ISSUE

10

Pages:

43-47

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

This article aims to formulate a mathematical model for
the filtration of liquid solutions through porous media,
develop appropriate boundary and initial conditions,
and implement numerical methods to solve the model.
The focus is on filtration in homogeneous and
heterogeneous media, considering both isotropic and
anisotropic cases.

The fundamental equation governing the filtration of

liquids in porous media is Darcy’s Law, which describes

the flow of a fluid through a porous material. For
incompressible, Newtonian

fluids, Darcy’s law is given by:

where:

The mass conservation of an incompressible fluid in a
porous medium is expressed by the continuity
equation:

For incompressible flows, this reduces to:


background image

Volume 04 Issue 10-2024

45


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

04

ISSUE

10

Pages:

43-47

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

where

ρ\rhoρ

is the density of the fluid.

The governing equations for the filtration process are

obtained by combining Darcy’s law and the continuity

equation. For a single-phase, incompressible fluid in a
porous medium, the resulting partial differential
equation (PDE) for pressure PPP is:

This equation is supplemented by appropriate
boundary conditions, which may include Dirichlet,
Neumann, or mixed conditions depending on the
specific problem being modeled.

To solve the governing PDEs for filtration, various
numerical methods are employed. The choice of
method depends on the complexity of the porous

structure, the nature of the boundary conditions, and
the required accuracy.

The finite difference method approximates derivatives
using discrete differences on a grid. For example, the
second-order

accurate

central

difference

approximation for the spatial derivative in one
dimension is:

In multidimensional problems, finite difference
schemes are applied to each direction independently.
FDM is suitable for structured grids and simple
geometries.

The finite element method divides the computational
domain into smaller elements and uses interpolation
functions (usually polynomials) to approximate the

solution within each element. FEM is particularly
advantageous

for

complex

geometries

and

heterogeneous materials. The weak form of the
governing equations is derived, and the solution is
obtained by minimizing the residual over the entire
domain.

The variational form of the pressure equation in FEM is:

where

is the test function, and Ω represents the computational domain


background image

Volume 04 Issue 10-2024

46


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

04

ISSUE

10

Pages:

43-47

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

The finite volume method is widely used in engineering
applications because it ensures local conservation of
mass and other conserved quantities. In FVM, the
domain is divided into control volumes, and fluxes are
calculated across the boundaries of these volumes.

The discretized form of the governing equation for
each control volume

Numerical methods for solving PDEs must be stable
and convergent to ensure that the solutions are
physically meaningful. Stability analysis often involves
the Courant

Friedrichs

Lewy (CFL) condition, which

provides a criterion for the time step in explicit time-
stepping schemes.

For implicit methods, stability is generally guaranteed,
but they require solving large linear systems at each
time step. Convergence refers to the behavior of the

numerical solution as the grid is refined. A method is
said to converge if the solution approaches the true
solution as the grid spacing decreases.

To demonstrate the application of the developed
mathematical model and numerical methods, we
consider a case study of fluid filtration through a
heterogeneous porous medium. The permeability field
is assumed to vary spatially according to:

is the reference permeability, and

is the

characteristic length scale of the heterogeneity. The
finite element method is used to solve the pressure
distribution in the domain, and the results are
compared with experimental data.

The mathematical model and numerical methods
developed in this article provide a framework for
simulating filtration processes of liquid solutions in
porous media. The choice of numerical method
depends on the geometry of the domain, material
properties, and desired accuracy. While finite

difference methods are efficient for simple
geometries, finite element and finite volume methods
offer greater flexibility and accuracy for complex
systems.

Future research may focus on extending the model to
account for multi-phase flows, reactive transport, and
the coupling between mechanical deformation and
fluid flow in deformable porous media.

REFERENCES


background image

Volume 04 Issue 10-2024

47


American Journal Of Applied Science And Technology
(ISSN

2771-2745)

VOLUME

04

ISSUE

10

Pages:

43-47

OCLC

1121105677
















































Publisher:

Oscar Publishing Services

Servi

1.

Bear, J. (1972). Dynamics of Fluids in Porous Media.
Elsevier.

2.

Peaceman, D. W. (1977). Fundamentals of
Numerical Reservoir Simulation. Elsevier.

3.

Aziz, K., & Settari, A. (1979). Petroleum Reservoir
Simulation. Elsevier.

4.

Versteeg, H. K., & Malalasekera, W. (2007). An
Introduction to Computational Fluid Dynamics: The
Finite Volume Method. Pearson Education.

References

Bear, J. (1972). Dynamics of Fluids in Porous Media. Elsevier.

Peaceman, D. W. (1977). Fundamentals of Numerical Reservoir Simulation. Elsevier.

Aziz, K., & Settari, A. (1979). Petroleum Reservoir Simulation. Elsevier.

Versteeg, H. K., & Malalasekera, W. (2007). An Introduction to Computational Fluid Dynamics: The Finite Volume Method. Pearson Education.