Rock classification in petrographic thin section images based on concatenated convolutional neural networks

A novel method for extracting information on pores from cast thin-section images

(2019) Shaoqun Dong et al.   COMPUTERS & GEOSCIENCES

Digital petrography: Mineralogy and porosity identification using machine learning algorithms in petrographic thin section images

(2019) Rafael Andrello Rubo et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Semi-automated procedure of digitalization and study of rock thin section porosity applying optical image analysis tools

(2018) Edgar Berrezueta et al.   COMPUTERS & GEOSCIENCES

Automatic mineral identification using color tracking

(2017) Saeed Aligholi et al.   PATTERN RECOGNITION

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

Permeability estimation based on thin-section image analysis and 2D flow modeling in grain-dominated carbonates

(2016) Sheng Peng et al.   MARINE AND PETROLEUM GEOLOGY

Two intelligent pattern recognition models for automatic identification of textural and pore space characteristics of the carbonate reservoir rocks using thin section images

(2016) Omid Borazjani et al.   Journal of Natural Gas Science and Engineering

Semi-automatic segmentation of petrographic thin section images using a “seeded-region growing algorithm” with an application to characterize wheathered subarkose sandstone

(2015) Pascal Asmussen et al.   COMPUTERS & GEOSCIENCES

Deep learning

(2015) Yann LeCun et al.   NATURE

Search of visually similar microscopic rock images

(2014) Magdalena Ładniak et al.   COMPUTATIONAL GEOSCIENCES

The application of pattern recognition in the automatic classification of microscopic rock images

(2013) Mariusz Młynarczuk et al.   COMPUTERS & GEOSCIENCES

Segmentation of sandstone thin section images with separation of touching grains using optimum path forest operators

(2013) Ivan Mingireanov Filho et al.   COMPUTERS & GEOSCIENCES

Vision-based rock-type classification of limestone using multi-class support vector machine

(2012) Snehamoy Chatterjee   APPLIED INTELLIGENCE

Semi-automated porosity identification from thin section images using image analysis and intelligent discriminant classifiers

(2012) Javad Ghiasi-Freez et al.   COMPUTERS & GEOSCIENCES

A computer program (TSecSoft) to determine mineral percentages using photographs obtained from thin sections

(2012) N. Yesiloglu-Gultekin et al.   COMPUTERS & GEOSCIENCES

An Estimation of Rock Permeability and Its Anisotropy from Thin Sections Using a Renormalization Group Approach

(2010) U. Fauzi   Energy Sources Part A-Recovery Utilization and Environmental Effects

Textural identification of basaltic rock mass using image processing and neural network

(2009) Naresh Singh et al.   COMPUTATIONAL GEOSCIENCES

Mineral identification using color spaces and artificial neural networks

(2009) Nurdan Akhan Baykan et al.   COMPUTERS & GEOSCIENCES

GIS-based detection of grain boundaries

(2007) Yingkui Li et al.   JOURNAL OF STRUCTURAL GEOLOGY