DeePore: A deep learning workflow for rapid and comprehensive characterization of porous materials

Digital Rock Segmentation for Petrophysical Analysis With Reduced User Bias Using Convolutional Neural Networks

(2020) Yufu Niu et al.   WATER RESOURCES RESEARCH

Machine Learning in Geo- and Environmental Sciences: From Small to Large Scale

(2020) Pejman Tahmasebi et al.   ADVANCES IN WATER RESOURCES

Pore system characteristics of soil aggregates and their relevance to aggregate stability

(2020) Manoj Menon et al.   GEODERMA

Inter-particle fluid flow visualisation of larger packed beds pertaining to heap leaching using X-ray computed tomography imaging

(2020) W. Ashane M. Fernando et al.   MINERALS ENGINEERING

Direct characterization of solute transport in unsaturated porous media using fast X-ray synchrotron microtomography

(2020) Sharul Hasan et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Image-based velocity estimation of rock using Convolutional Neural Networks

(2019) Sadegh Karimpouli et al.   NEURAL NETWORKS

Reliability of Algorithms Interpreting Topological and Geometric Properties of Porous Media for Pore Network Modelling

(2019) Todor G. Baychev et al.   TRANSPORT IN POROUS MEDIA

Approximating Permeability of Microcomputed-Tomography Images Using Elliptic Flow Equations

(2019) Traiwit Chung et al.   SPE JOURNAL

Computations of permeability of large rock images by dual grid domain decomposition

(2019) Ying Da Wang et al.   ADVANCES IN WATER RESOURCES

Hybrid pore-network and lattice-Boltzmann permeability modelling accelerated by machine learning

(2019) Arash Rabbani et al.   ADVANCES IN WATER RESOURCES

Segmentation of digital rock images using deep convolutional autoencoder networks

(2019) Sadegh Karimpouli et al.   COMPUTERS & GEOSCIENCES

On the challenges of greyscale‐based quantifications using X‐ray computed microtomography

(2019) YULAI ZHANG et al.   JOURNAL OF MICROSCOPY

Velocity Field Estimation on Density‐Driven Solute Transport With a Convolutional Neural Network

(2019) Philipp J. Kreyenberg et al.   WATER RESOURCES RESEARCH

Enhancing Resolution of Digital Rock Images with Super Resolution Convolutional Neural Networks

(2019) Ying Da Wang et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm

(2019) Serveh Kamrava et al.   NEURAL NETWORKS

Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning

(2019) Serveh Kamrava et al.   TRANSPORT IN POROUS MEDIA

Effects of Pore‐Scale Heterogeneity on Macroscopic NAPL Dissolution Efficiency: A Two‐Scale Numerical Simulation Study

(2019) Morteza Aminnaji et al.   WATER RESOURCES RESEARCH

CT-image of rock samples super resolution using 3D convolutional neural network

(2019) Yukai Wang et al.   COMPUTERS & GEOSCIENCES

Accelerated Computation of Relative Permeability by Coupled Morphological and Direct Multiphase Flow Simulation

(2019) Y.D. Wang et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Coupled generative adversarial and auto-encoder neural networks to reconstruct three-dimensional multi-scale porous media

(2019) Reza Shams et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Improving direct physical properties prediction of heterogeneous materials from imaging data via convolutional neural network and a morphology-aware generative model

(2018) Ruijin Cang et al.   COMPUTATIONAL MATERIALS SCIENCE

Geometry simplification of open-cell porous materials for elastic deformation FEA

(2018) Camilo Cortés et al.   ENGINEERING WITH COMPUTERS

Pore characterization of 3D-printed gypsum rocks: a comprehensive approach

(2018) Lingyun Kong et al.   JOURNAL OF MATERIALS SCIENCE

Porous Structure Reconstruction Using Convolutional Neural Networks

(2018) Yuzhu Wang et al.   Mathematical Geosciences

Super resolution reconstruction of μ-CT image of rock sample using neighbour embedding algorithm

(2018) Yuzhu Wang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Stochastic Reconstruction of an Oolitic Limestone by Generative Adversarial Networks

(2018) Lukas Mosser et al.   TRANSPORT IN POROUS MEDIA

Predicting the effective thermal conductivities of composite materials and porous media by machine learning methods

(2018) Han Wei et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Seeing permeability from images: fast prediction with convolutional neural networks

(2018) Jinlong Wu et al.   Science Bulletin

Pore network extraction using geometrical domain decomposition

(2018) Arash Rabbani et al.   ADVANCES IN WATER RESOURCES

Connection between electrical conductivity and diffusion coefficient of a conductive porous material filled with electrolyte

(2017) I. Sevostianov et al.   INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE

Evolution of Pore-Scale Morphology of Oil Shale During Pyrolysis: A Quantitative Analysis

(2017) Arash Rabbani et al.   TRANSPORT IN POROUS MEDIA

Estimation of carbonates permeability using pore network parameters extracted from thin section images and comparison with experimental data

(2017) Arash Rabbani et al.   Journal of Natural Gas Science and Engineering

Analytics for microstructure datasets produced by phase-field simulations

(2016) Philipp Steinmetz et al.   ACTA MATERIALIA

Petrophysical characterization of porous media starting from micro-tomographic images

(2016) Peyman Mohammadmoradi et al.   ADVANCES IN WATER RESOURCES

Estimation of 3-D pore network coordination number of rocks from watershed segmentation of a single 2-D image

(2016) Arash Rabbani et al.   ADVANCES IN WATER RESOURCES

Review of pore network modelling of porous media: Experimental characterisations, network constructions and applications to reactive transport

(2016) Qingrong Xiong et al.   JOURNAL OF CONTAMINANT HYDROLOGY

Elastic response of mesoporous silicon to capillary pressures in the pores

(2015) Gennady Y. Gor et al.   APPLIED PHYSICS LETTERS

From connected pathway flow to ganglion dynamics

(2015) M. Rücker et al.   GEOPHYSICAL RESEARCH LETTERS

Application of data science tools to quantify and distinguish between structures and models in molecular dynamics datasets

(2015) Surya R Kalidindi et al.   NANOTECHNOLOGY

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Multi-Physics Pore-Network Modeling of Two-Phase Shale Matrix Flows

(2015) Xinwo Huang et al.   TRANSPORT IN POROUS MEDIA

X-ray micro-computed tomography and tortuosity calculations of percolating pore networks

(2014) Noah O. Shanti et al.   ACTA MATERIALIA

A novel heterogeneous algorithm to simulate multiphase flow in porous media on multicore CPU–GPU systems

(2014) J.E. McClure et al.   COMPUTER PHYSICS COMMUNICATIONS

Specific surface and porosity relationship for sandstones for prediction of permeability

(2014) Arash Rabbani et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

An automated simple algorithm for realistic pore network extraction from micro-tomography images

(2014) Arash Rabbani et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

(2014) Monica Bianchini et al.   IEEE Transactions on Neural Networks and Learning Systems

Shear-Jamming in Two-Dimensional Granular Materials with Power-Law Grain-Size Distribution

(2013) Agnieszka Herman   Entropy

Statistical Description of Food Microstructure. Extraction of Some Correlation Functions From 2D Images

(2013) A. Derossi et al.   Food Biophysics

X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems

(2012) Dorthe Wildenschild et al.   ADVANCES IN WATER RESOURCES

Pore-scale imaging and modelling

(2012) Martin J. Blunt et al.   ADVANCES IN WATER RESOURCES

Digital rock physics benchmarks—Part I: Imaging and segmentation

(2012) Heiko Andrä et al.   COMPUTERS & GEOSCIENCES

Prediction of Hydrocarbon Reservoirs Permeability Using Support Vector Machine

(2012) R. Gholami et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Understanding and visualizing microstructure and microstructure variance as a stochastic process

(2011) Stephen R. Niezgoda et al.   ACTA MATERIALIA

Open-source MATLAB implementation of consistent discretisations on complex grids

(2011) Knut–Andreas Lie et al.   COMPUTATIONAL GEOSCIENCES

Relative Permeability Calculations from Two-Phase Flow Simulations Directly on Digital Images of Porous Rocks

(2011) Thomas Ramstad et al.   TRANSPORT IN POROUS MEDIA

Multi-scale modeling of elastic response of three-dimensional voxel-based microstructure datasets using novel DFT-based knowledge systems

(2010) Giacomo Landi et al.   ACTA MATERIALIA

A new framework for computationally efficient structure–structure evolution linkages to facilitate high-fidelity scale bridging in multi-scale materials models

(2010) Tony Fast et al.   ACTA MATERIALIA