Gas/Water Flow in Porous Media in the Presence of Adsorbed Polymer: Experimental Study on Non-Darcy Effects

2006 ◽  
Author(s):  
Vincent Blanchard ◽  
Didier Lasseux ◽  
Henri Jacques Bertin ◽  
Thierry Rene Pichery ◽  
Guy Andre Chauveteau ◽  
...  
Keyword(s):  
Experimental Study ◽  
Porous Media ◽  
Water Flow ◽  
Flow In Porous Media ◽  
Adsorbed Polymer

Experimental study on moving boundaries of fluid flow in porous media

2008 ◽  
Vol 53 (16) ◽  
pp. 2438-2445 ◽  
Author(s):  
HongWei Zhou ◽  
YaHeng Zhang ◽  
AiMin Li ◽  
DaYong Qiu
Keyword(s):  
Experimental Study ◽  
Porous Media ◽  
Fluid Flow ◽  
Moving Boundaries ◽  
Flow In Porous Media

Experimental Study of Internal Forced Convection of Ferrofluid Flow in Porous Media

2014 ◽  
Vol 348 ◽  
pp. 139-146 ◽  
Author(s):  
Ashkan Sehat ◽  
Hani Sadrhosseini ◽  
M. Behshad Shafii
Keyword(s):  
Magnetic Field ◽  
Heat Transfer ◽  
Experimental Study ◽  
Porous Media ◽  
Temperature Distribution ◽  
Pressure Drop ◽  
Forced Convection ◽  
Volume Fraction ◽  
Flow In Porous Media ◽  
Tetra Methyl Ammonium Hydroxide

This work presents an experimental study of the effect of a magnetic field on laminar forced convection of a ferrofluid flowing in a tube filled with permeable material. The walls of the tube are subjected to a uniform heat flux and the permeable bed consists of uniform spheres of 3-mm diameter. The ferrofluid synthesis is based on reacting iron (II) and iron (III) in an aqueous ammonia solution to form magnetite, Fe3O4. The magnetite is mixed with aqueous tetra methyl ammonium hydroxide, (CH3)4NOH, solution. The dependency of the pressure drop on the volume fraction, and comparison of the pressure drop and the temperature distribution of the tube wall is studied. Also comparison of the wall temperature distribution, convection heat transfer coefficient and the Nusselt numbers of ferrofluids with different volume fractions is investigated for various Reynolds numbers (147 < Re < 205 ). It is observed that the heat transfer is enhanced by using a porous media, increasing the volume fraction had a similar effect. The pressure coefficient decreases for higher Reynolds number. The effect of magnetic field in four strategies, named modes, on ferrofluid flow through the porous media is presented.

Imaging of Water Flow in Porous Media by Magnetic Resonance Imaging Microscopy

2002 ◽  
Vol 31 (2) ◽  
pp. 487 ◽  
Author(s):  
Markus Deurer ◽  
Iris Vogeler ◽  
Alexander Khrapitchev ◽  
Dave Scotter
Keyword(s):  
Magnetic Resonance Imaging ◽  
Porous Media ◽  
Magnetic Resonance ◽  
Water Flow ◽  
Flow In Porous Media ◽  
Resonance Imaging

A time-space Hausdorff derivative model for anomalous transport in porous media

2019 ◽  
Vol 22 (6) ◽  
pp. 1517-1536 ◽  
Author(s):  
Yingjie Liang ◽  
Ninghu Su ◽  
Wen Chen
Keyword(s):  
Porous Media ◽  
Solute Transport ◽  
Water Flow ◽  
Dispersion Model ◽  
Mathematical Formulation ◽  
Breakthrough Curves ◽  
Flow In Porous Media ◽  
Time And Space ◽  
Time Space ◽  
Constant Diffusion

Abstract This paper presents a time-space Hausdorff derivative model for depicting solute transport in aquifers or water flow in heterogeneous porous media. In this model, the time and space Hausdorff derivatives are defined on non-Euclidean fractal metrics with power law scaling transform which, respectively, connect the temporal and spatial complexity during transport. The Hausdorff derivative model can be transformed to an advection-dispersion equation with time- and space-dependent dispersion and convection coefficients. This model is a fractal partial differential equation (PDE) defined on a fractal space and differs from the fractional PDE which is derived for non-local transport of particles on a non-fractal Euclidean space. As an example of applications of this model, an explicit solution with a constant diffusion coefficient and flow velocity subject to an instantaneous source is derived and fitted to the breakthrough curves of tritium as a tracer in porous media. These results are compared with those of a scale-dependent dispersion model and a time-scale dependent dispersion model. Overall, it is found that the fractal PDE based on the Hausdorff derivatives better captures the early arrival and heavy tail in the scaled breakthrough curves for variable transport distances. The estimated parameters in the fractal Hausrdorff model represent clear mechanisms such as linear relationships between the orders of Hausdorff derivatives and the transport distance. The mathematical formulation is applicable to both solute transport and water flow in porous media.

Imaging of Water Flow in Porous Media by Magnetic Resonance Imaging Microscopy

2002 ◽  
Vol 31 (2) ◽  
pp. 487-493 ◽  
Author(s):  
Markus Deurer ◽  
Iris Vogeler ◽  
Alexander Khrapitchev ◽  
Dave Scotter
Keyword(s):  
Magnetic Resonance Imaging ◽  
Porous Media ◽  
Magnetic Resonance ◽  
Water Flow ◽  
Flow In Porous Media ◽  
Resonance Imaging
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