Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning

Feature extraction and classification of digital rock images via pre-trained convolutional neural network and unsupervised machine learning

Understanding the microstructure of porous media is crucial in various fields—particularly in petroleum engineering, hydrogeology, and materials science—because it directly influences the properties of porous materials and the behavior of fluids within their pores. Traditional characterization metho...

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Bibliographic Details
Main Authors: Masashige Shiga, Masao Sorai, Tetsuya Morishita, Masaatsu Aichi, Naoki Nishiyama, Takashi Fujii
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
dimensionality reduction
convolutional neural network
unsupervised machine learning
digital rock
Online Access:https://doi.org/10.1088/2632-2153/adcf71
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