[HTML][HTML] Machine and deep learning for estimating the permeability of complex carbonate rock from X-ray micro-computed tomography

M Tembely, AM AlSumaiti, WS Alameri - Energy Reports, 2021 - Elsevier
Accurate estimation of permeability is critical for oil and gas reservoir development and
management, as it controls production rate. After assessing numerical techniques ranging …

Multifractal analysis of reservoir rock samples using 3D X-ray micro computed tomography images

MS Jouini, F Bouchaala, MK Riahi, M Sassi… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

A deep learning perspective on predicting permeability in porous media from network modeling to direct simulation

M Tembely, AM AlSumaiti, W Alameri - Computational Geosciences, 2020 - Springer
Predicting the petrophysical properties of rock samples using micro-CT images has gained
significant attention recently. However, an accurate and an efficient numerical tool is still …

[HTML][HTML] On Orthogonal Polynomials and Finite Moment Problem

F Hjouj, MS Jouini - The Open Chemical …, 2022 - openchemicalengineeringjournal …
Background: This paper is an improvement of a previous work on the problem recovering a
function or probability density function from a finite number of its geometric moments,[1]. The …

On the exponential Radon transform

F Hjouj - AIP Conference Proceedings, 2023 - pubs.aip.org
This is an introduction to an interesting application of Fourier analysis in tomography and
image processing. The Radon transform and the exponential Radon transform are reviewed …

Fast equivalent micro-scale pipe network representation of rock fractures obtained by computed tomography for fluid flow simulations

F Xiong, Q Jiang, C Xu - Rock Mechanics and Rock Engineering, 2021 - Springer
Fractures in rocks often provide preferential fluid migration pathways and their geometrical
properties are the main factors influencing the permeability of the rock mass. By taking into …

Upscaling strategy to simulate permeability in a carbonate sample using machine learning and 3D printing

MS Jouini, JS Gomes, M Tembely, ER Ibrahim - IEEE Access, 2021 - ieeexplore.ieee.org
Characterizing heterogeneity is crucial to assess the variability of rock properties in
carbonate reservoir samples. This work introduces an original multiscale approach to …

Review and improvement of the linear transformation of images

M Hjouj, MS Ahmad, F Hjouj - AIP Conference Proceedings, 2023 - pubs.aip.org
A common problem in the field of image processing is recovering a geometrical distortion
such as scaling, rotation, translation, shearing, and others. These types of distortions can be …

Texture segmentation of 3D x-ray micro-computed tomography images using U-NET

M Jouini, N Al-Khalayaleh, R Heggi… - AIP Conference …, 2023 - pubs.aip.org
Recent advances in numerical methods combined with the use of 3D X-ray micro computed
tomography acquisition systems improved the characterization of reservoir rocks at pore …

Upscaling non-Newtonian rheological fluid properties from pore-scale to Darcy's scale

T Shende, V Niasar, M Babaei - Chemical Engineering Science, 2021 - Elsevier
Continuity and momentum equations govern the pore-scale flow properties of the fluid in the
porous media, whereas Darcy's law governs Darcy scale properties of the fluid transport in …