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• W4285261085 abstract "Characterizing heterogeneity in reservoir rocks at the pore scale is crucial to understand the flow patterns better, and estimate reservoir petrophysical properties such as porosity and permeability. This study introduces multifractals as descriptors for rock samples&#x2019; heterogeneity at the pore scale. We analyzed twenty rock samples from sandstone and carbonate reservoirs using their 3D X-ray micro-computed tomography images. In addition, we simulated porosity and permeability properties and examined their correlation with multifractal parameters. The results show that the capacity dimension <inline-formula> <tex-math notation=LaTeX>$D_{0}$ </tex-math></inline-formula> and the information dimension <inline-formula> <tex-math notation=LaTeX>$D_{1}$ </tex-math></inline-formula> correlate with porosity and permeability simulated from images, respectively. Finally, we calculated several multifractal parameters such as the width of the spectrum, the asymmetry degree of the spectrum in the horizontal direction and the value of the vertical difference between the two branches of the spectrum. Results illustrate the ability of multifractal parameters to classify groups of rock samples according to their degree of heterogeneity." @default.
• W4285261085 created "2022-07-14" @default.
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• W4285261085 date "2022-01-01" @default.
• W4285261085 modified "2023-10-14" @default.
• W4285261085 title "Multifractal Analysis of Reservoir Rock Samples Using 3D X-Ray Micro Computed Tomography Images" @default.
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• W4285261085 doi "https://doi.org/10.1109/access.2022.3186476" @default.
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