Boosting resolution and recovering texture of 2D and 3D micro‐CT images with deep learning

YD Wang, RT Armstrong… - Water Resources …, 2020 - Wiley Online Library
Simulation of flow directly at the pore scale depends on high‐quality digital rock images but
is constrained by detector hardware. A trade‐off between the image field of view (FOV) and …

[HTML][HTML] In situ characterization of immiscible three-phase flow at the pore scale for a water-wet carbonate rock

A Scanziani, K Singh, T Bultreys, B Bijeljic… - Advances in Water …, 2018 - Elsevier
X-ray micro-tomography is used to image the pore-scale configurations of fluid in a rock
saturated with three phases-brine, oil and gas-mimicking a subsurface reservoir, at high …

On representative elementary volumes of grayscale micro‐CT images of porous media

A Singh, K Regenauer‐Lieb, SDC Walsh… - Geophysical …, 2020 - Wiley Online Library
The concept of linking pore‐scale data to continuum‐scale characteristics of porous media
relies on the existence of a representative elementary volume (REV). The current techniques …

A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation

J Fu, M Wang, B Chen, J Wang, D Xiao, M Luo… - Engineering with …, 2023 - Springer
Understanding the microstructure–property relationships of porous media is of great
practical significance, based on which macroscopic physical properties can be directly …

The impact of wormhole generation in carbonate reservoirs on CO2-WAG oil recovery

M Khather, N Yekeen, A Al-Yaseri… - Journal of Petroleum …, 2022 - Elsevier
In this paper, the impact of CO 2-carbonate interactions on hydrocarbon recovery from three
initially oil-saturated heterogeneous carbonate core samples (with low and mid …

PoreSkel: Skeletonization of grayscale micro-CT images of porous media using deep learning techniques

M Mahdaviara, M Sharifi, A Raoof - Advances in Water Resources, 2023 - Elsevier
Skeletonization, a crucial step in pore network modeling, traditionally involves the extraction
of skeleton pixels from binarized, segmented X-ray images of porous materials. However …

Spatiotemporal variations in the connectivity of wetting and nonwetting phases during water alternating gas injection

E Ganguly, S Misra - Energy & Fuels, 2021 - ACS Publications
Water alternating gas (WAG) injection is a well-established technique that leverages the
benefits of gas injection and waterflooding processes to improve the ultimate oil recovery …

Permeability prediction for natural porous rocks through feature selection and machine learning

J Fu, HR Thomas, C Li - 2021 - repository.lboro.ac.uk
The relationships between macroscopic properties and microstructural characteristics are of
great significance for natural porous rocks, based on which transport properties can be …

[PDF][PDF] Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis

YD Wang - 2020 - scholar.archive.org
Abstract Digital Rock Analysis involves (1) 3D X-ray 𝜇𝜇CT imaging and processing,(2)
identifying and segmenting the minerals, and (3) performing flow simulation to obtain …

Computer vision and texture analysis for characterization of X-ray images of rocks

A Singh - 2020 - unsworks.unsw.edu.au
Digital rock physics (DRP) has fundamentally revolutionized the geoscience discipline by
allowing researchers to develop digital twins of physical rocks using x-ray imaging …