The Lattice Boltzmann Method and Image Processing Techniques for Effective Parameter Estimation of Digital Rock

Several numerical simulations of fluid flow were performed using the Lattice Boltzmann method and image processing techniques to estimate the effective properties of 2-D porous rocks. The effective properties evaluated were the physical characteristics that allow fluid flow including the effective p...

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Bibliographic Details
Published in:Applied sciences 2024-09, Vol.14 (17), p.7509
Main Authors: Nurcahya, Ardian, Alexandra, Aldenia, Akmal, Fadhillah, Dharmawan, Irwan Ary
Format: Article
Language:English
Subjects:
Anisotropy
Boundary conditions
digital rock
effective parameter
Fluid dynamics
Hydrocarbons
image processing
Lattice Boltzmann
Parameter estimation
Permeability
Simulation
Velocity
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Summary:Several numerical simulations of fluid flow were performed using the Lattice Boltzmann method and image processing techniques to estimate the effective properties of 2-D porous rocks. The effective properties evaluated were the physical characteristics that allow fluid flow including the effective porosity, permeability, tortuosity, and average throat size to determine the storage and transport of fluids in porous rocks. The permeability was compared using the Darcy model simulation and the empirical Kozeny–Carman Equation. The results showed that the Lattice Boltzmann method and image processing techniques can estimate the effective parameters of porous rocks. Furthermore, there was a good correlation between permeability and parameters such as effective porosity, tortuosity, and average throat size. The Darcy model simulation revealed a gamma distribution in the permeability, while the empirical Kozeny–Carman Equation showed a log-normal distribution.
ISSN:2076-3417
2076-3417
DOI:10.3390/app14177509