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Simulation of Nonlinear Viscous Fingering in a Reactive Flow Displacement: A Multifractal Approach
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fractal analysis of viscous fingering of a reactive miscible flow displacement in homogeneous porous media is investigated and multifractal spectrum, and fractal dimension are introduced as two essential features to characterize the irregularity of finger patterns. The Reaction of the
two reactant fluids generates a miscible chemical product C in the contact zone. Considering the similarity between chemical products and coastline, monofractal and multifractal analyzes are performed. In monofractal analysis, the box-counting method is implemented on binary images and in
multifractal analysis, due to the image processing; the fractal characteristics of viscous fingering instability are analyzed by means of fractal quantities such as Holder exponent, multifractal spectrum, f (α)-image and fractal dimension dynamics. Fractal analysis shows
that the fractal dimension increases with time. Also, by considering five different nonlinear simulations, the results show that in the case both sides of the chemical product C are unstable, the multifractal spectrum curve has the highest peak, which means the more complex finger patterns
lead to more values of fractal dimension. In addition, a comparison between different values of Ar is conducted and the results show similar behavior. However, small value of aspect ratio leads to a broader width of the multifractal spectrum curve. Furthermore, f (α)-images
of concentration contour were investigated for different precisions and some undetectable finger patterns were observed in these images. It can be concluded that the use of f (α)-image represents more detailed image than concentration contours.
Title: Simulation of Nonlinear Viscous Fingering in a Reactive Flow Displacement: A Multifractal Approach
Description:
fractal analysis of viscous fingering of a reactive miscible flow displacement in homogeneous porous media is investigated and multifractal spectrum, and fractal dimension are introduced as two essential features to characterize the irregularity of finger patterns.
The Reaction of the
two reactant fluids generates a miscible chemical product C in the contact zone.
Considering the similarity between chemical products and coastline, monofractal and multifractal analyzes are performed.
In monofractal analysis, the box-counting method is implemented on binary images and in
multifractal analysis, due to the image processing; the fractal characteristics of viscous fingering instability are analyzed by means of fractal quantities such as Holder exponent, multifractal spectrum, f (α)-image and fractal dimension dynamics.
Fractal analysis shows
that the fractal dimension increases with time.
Also, by considering five different nonlinear simulations, the results show that in the case both sides of the chemical product C are unstable, the multifractal spectrum curve has the highest peak, which means the more complex finger patterns
lead to more values of fractal dimension.
In addition, a comparison between different values of Ar is conducted and the results show similar behavior.
However, small value of aspect ratio leads to a broader width of the multifractal spectrum curve.
Furthermore, f (α)-images
of concentration contour were investigated for different precisions and some undetectable finger patterns were observed in these images.
It can be concluded that the use of f (α)-image represents more detailed image than concentration contours.
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