ScholarLens Back to search
2018•FractalsRequires access

FRACTAL DIMENSION DETERMINATION OF ROCK PORES BY MULTI-SCALE ANALYSIS OF IMAGES OBTAINED USING OM, SEM AND XCT

I. Alfonso, Alberto Beltrán, Mohamed Abatal, I. Castro, Alejandra Fuentes, LEONOR VÁZQUEZ, Armando R. Garcia

Open publisher page 19 citations

Abstract

The present work includes the analysis of the porosity at different scales using image characterization techniques. Porosities were determined and compared for reservoir rocks through the fractal dimensions obtained from two-dimensional (2D) image analysis. Studies were developed using Optical Microscopy (OM), Scanning Electron Microscopy (SEM) and X-ray Computed Tomography (XCT). In order to compare the images and analyze the similarities in the porosities, the box-counting method was used to extract the power-law distributions and to obtain the fractal dimensions. Results showed that fractal dimensions were similar for the three different techniques, which included different scale analysis, fact that demonstrates the fractal character of the porosity in the studied systems. The effectiveness of the use of 2D image analysis and the importance of the multiscale study of the porosity were also demonstrated.

About this research paper

What this paper is about

The present work includes the analysis of the porosity at different scales using image characterization techniques. Porosities were determined and compared for reservoir rocks through the fractal dimensions obtained from two-dimensional (2D) image analysis. Studies were developed using Optical Microscopy (OM), Scanning Electron Microscopy (SEM) and X-ray Computed Tomography (XCT). In order to compare the images and analyze the similarities in the porosities, the box-counting method was used to extract the power-law distributions and to obtain the fractal dimensions. Results showed that fractal dimensions were similar for the three different techniques, which included different scale analysis, fact that demonstrates the fractal character of the porosity in the studied systems. The effectiveness of the use of 2D image analysis and the importance of the multiscale study of the porosity were also demonstrated.

Why it matters

OpenAlex reports 19 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The present work includes the analysis of the porosity at different scales using image characterization techniques. Porosities were determined and compared for reservoir rocks through the fractal dimensions obtained from two-dimensional (2D) image analysis. Studies were developed using Optical Microscopy (OM), Scanning Electron Microscopy (SEM) and X-ray Computed Tomography (XCT). In order to compare the images and analyze the similarities in the porosities, the box-counting method was used to extract the power-law distributions and to obtain the fractal dimensions. Results showed that fractal dimensions were similar for the three different techniques, which included different scale analysis, fact that demonstrates the fractal character of the porosity in the studied systems. The effectiveness of the use of 2D image analysis and the importance of the multiscale study of the porosity were also demonstrated.

Key concepts: Fractal dimension, Porosity, Fractal analysis, Box counting, Fractal, Materials science, Characterization (materials science), Scanning electron microscope

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
FRACTAL DIMENSION DETERMINATION OF ROCK PORES BY MULTI-SCALE ANALYSIS OF IMAGES OBTAINED USING OM, SEM AND XCT — Research Paper | ScholarLens