Feasibility Study of Three-Dimensional Crack Growth Modeling in Porous Media with Circular Pores Using Two-Dimensional Sections

Multistep Super Resolution Double-U-net (SRDUN) for enhancing the resolution of Berea sandstone images

Computing wave velocity of rock sample using rock chips and cuttings

Ultrasonic prediction of crack density using machine learning: A numerical investigation

An investigation on prevalent strategies for XFEM-based numerical modeling of crack growth in porous media

Application of remote sensing and ground geophysics for reconnaissance and exploration of Cu resources in Babzangoye, Chahargonbad Kerman

Application of equivalent circle and ellipse for pore shape modeling in crack growth problem: A numerical investigation in microscale

Modeling of crack initiation and propagation in porous samples due to fluid pressure using Abacus software

Modeling of crack initiation and propagation in porous samples due to fluid pressure using Abacus software

Numerical study of crack growth in porous media: Effect of elliptical porosity parameters

Single-Station Coda Wave Interferometry: A Feasibility Study Using Machine Learning

Physics informed machine learning: Seismic wave equation

Crack growth in porous media using XFEM: Comparison of modeling strategies in the Abaqus

A review of experimental and numerical modeling of digital coalbed methane: Imaging, segmentation, fracture modeling and permeability prediction

Coal Cleat/Fracture Segmentation Using Convolutional Neural Networks

Effects of pore(s)-crack locations and arrangements on crack growth modeling in porous media

Computing heterogeneous core sample velocity using Digital Rock Physics: A multiscale approach

Effects of pore-crack relative location on crack propagation in porous media using XFEM method

Segmentation of digital rock images using deep convolutional autoencoder networks

3D multi‐fractal analysis of porous media using 3D digital images: considerations for heterogeneity evaluation

Image-based velocity estimation of rock using Convolutional Neural Networks

Estimating 3D elastic moduli of rock from 2D thin section images using Differential Effective Medium Theory

Estimation of P- and S-wave impedances using Bayesian inversion and adaptive neuro-fuzzy inference system from a carbonate reservoir in Iran

Application of alternative digital rock physics methods in a real case study: a challenge between clean and cemented samples

Using a Feature Subset Selection method and Support Vector Machine to address curse of dimensionality and redundancy in Hyperion hyperspectral data classification

Stochastic modeling of coal fracture network by direct use of micro-computed tomography images

A Hierarchical Sampling for Capturing Permeability Trend in Rock Physics

Prediction of remained pyrite fraction within a coal waste pile with using of multivariate regression method

Prediction of porosity and water saturation using pre-stack seismic attributes: a comparison of Bayesian inversion and computational intelligence methods

Seminonlinear spectral unmixing using a neural network-based forward modeling

Conditional reconstruction: an alternative strategy in digital rock physics

Detection of lineations in satellite and arial images using radon transform

High performance of the support vector machine in classifying hyperspectral data using a limited dataset

Neuro-Bayesian facies inversion of prestack seismic data from a carbonate reservoir in Iran

Automated diffraction delineation using an apex-shifted Radon transform

Understanding the fracture role on hydrocarbon accumulation and distribution using seismic data: A case study on a carbonate reservoir from Iran

Application of probabilistic facies prediction and estimation of rock physics parameters in a carbonate reservoir from Iran

A new approach to improve of neural networks’ algorithm in permeability prediction of petroleum reservoirs using supervised committee machine neural network (SCMNN)

Multistep super resolution image of Berea Sandstone using convolutional neural networks

Crack density prediction based on ultrasonic waves using convolutional neural networks

Comparison of convolutional and autoencoder networks for segmentation of fractures in rock images

Numerical modeling of the effect of pore-crack angle on hydraulic fracturing in sandstone based petroleum reservoirs

Numerical modeling of the effect of pore size on tensile crack growth due to hydraulic fracture

Automatic earthquake detection and phase picking using deep convolutional networks

Capability of convolutional networks on predicting rock velocity using multiscale images

A review on applications of UAVs in mining and environmental industries

An investigation on measurement methods of physical and mechanical properties of rock from drilling cuttings

Segmentation of rock images using deep learning

Environmental evaluation of Sarcheshme copper and Chedermelu iron mines

Grains packing effects on wave velocity in sandstone type hydrocarbon reservoirs

Numerical modeling of crack propagation in sandstone reservoirs

Digital Rocks: A review on capabilities of a new technology in computing hydrocarbon reservoir characteristics

A multiscale approach to estimate effectiev elastic moduli using digital rock images

A method for estimating 3D elastic moduli of rock using 2D images

Site effect investigation in Zanjan using surface waves dispersion curve

Modeling the Goodman and Shi key block analysis with MATLAB Software tool

structural Interpretation of South-Pars Gas Reservoir Using Seismic Attributes

Numerical simulation of crack growth in porous media using XFEM

combination of converted 2D inversion and 3D modeling of Geoelectric data in Khalifelo copper exploration zone limits located in Khoramdare -Zanjan

A new regression model for permeability prediction in a hydrocarbon reservoir from SW of Iran using multivariate statistical method