Data-driven methods for flow and transport in porous media: a review
This review focuses on recent advancements in data-driven methods for analyzing flow and
transport in porous media, which are showing promising potential for applications in energy …
transport in porous media, which are showing promising potential for applications in energy …
A New approach for enhancing oil and gas recovery of the hydrocarbon fields with low permeability reservoirs
SH Al-Obaidi, FH Khalaf - 2023 - osf.io
A universal and multifunctional method for developing problematic oil and gas fields with
low-permeability reservoirs is presented in this paper. The method is based on maintaining …
low-permeability reservoirs is presented in this paper. The method is based on maintaining …
Scale-Independent Rock Heterogeneity Classification Algorithm Applied to Microtomography Images
A Mohamed, M Prodanović - Transport in Porous Media, 2023 - Springer
Typical geological systems are composed of a broad spectrum of porous media with
regionalized rock properties such as porosity or permeability varying by orders of magnitude …
regionalized rock properties such as porosity or permeability varying by orders of magnitude …
Knowledge extraction via machine learning guides a topology‐based permeability prediction model
The complexity and heterogeneity of pore structure present significant challenges in
accurate permeability estimation. Commonly used empirical formulas neglect its microscopic …
accurate permeability estimation. Commonly used empirical formulas neglect its microscopic …
Predicting 3D Physical Properties From a Single 2D Slice Based on Convolutional Neural Networks: 2D‐Slice‐To‐3D‐Properties for Porous Rocks
The 3D physical properties of porous rocks directly determine the subsurface flow and
modeling. However, predicting a wide range of 3D physical rocks remains a formidable …
modeling. However, predicting a wide range of 3D physical rocks remains a formidable …
Quantifying the effect of pore‐Size dependent wettability on relative permeability using capillary bundle model
Relative permeability is a key parameter for characterizing the multiphase flow dynamics in
porous media at macroscopic scale while it can be significantly impacted by wettability …
porous media at macroscopic scale while it can be significantly impacted by wettability …
Digital rocks portal (digital porous media): connecting data, simulation and community
Digital Rocks Portal (DRP, https://www. digitalrocksportal. org) organizes and preserves
imaged datasets and experimental measurements of porous materials in subsurface, and …
imaged datasets and experimental measurements of porous materials in subsurface, and …
Learning a general model of single phase flow in complex 3D porous media
Modeling effective transport properties of 3D porous media, such as permeability, at multiple
scales is challenging as a result of the combined complexity of the pore structures and fluid …
scales is challenging as a result of the combined complexity of the pore structures and fluid …
[PDF][PDF] Pore scale modeling of fluid transport in complex reservoirs: Multi-scale digital rock construction, flow experiments and simulation methods
The heterogeneities of complex reservoirs are expressed in terms of multi-scale pore
structure, different pore type and multiple occurrence mode. Fluid transport mechanisms …
structure, different pore type and multiple occurrence mode. Fluid transport mechanisms …
Prediction and uncertainty quantification of shale well performance using multifidelity Monte Carlo
Uncertainty quantification is an integral component of reservoir management, especially
considering the inherent uncertainty in subsurface systems. While a standard practice to …
considering the inherent uncertainty in subsurface systems. While a standard practice to …