[HTML][HTML] Deep learning of rock microscopic images for intelligent lithology identification: Neural network comparison and selection

Z Xu, W Ma, P Lin, Y Hua - Journal of Rock Mechanics and Geotechnical …, 2022 - Elsevier
An intelligent lithology identification method is proposed based on deep learning of the rock
microscopic images. Based on the characteristics of rock images in the dataset, we used …

Deep learning of rock images for intelligent lithology identification

Z Xu, W Ma, P Lin, H Shi, D Pan, T Liu - Computers & Geosciences, 2021 - Elsevier
An intelligent lithology identification method is proposed based on the deep learning of rock
images. The lithology information and position information in rock images can be predicted …

Automatic identification and classification in lithology based on deep learning in rock images

Y Zhang, M Li, S Han - Yanshi Xuebao/Acta Petrologica …, 2018 - research.polyu.edu.hk
It is important for geology analysis to make identification and classification in lithology. It is a
new way to establish the identification model in machine learning. In this research, a transfer …

A novel method of multitype hybrid rock lithology classification based on convolutional neural networks

D Li, J Zhao, Z Liu - Sensors, 2022 - mdpi.com
Rock lithology recognition plays a fundamental role in geological survey research, mineral
resource exploration, mining engineering, etc. However, the objectivity of researchers, rock …

Deep learning based lithology classification of drill core images

D Fu, C Su, W Wang, R Yuan - Plos one, 2022 - journals.plos.org
Drill core lithology is an important indicator reflecting the geological conditions of the drilling
area. Traditional lithology identification usually relies on manual visual inspection, which is …

Rock image classification using deep residual neural network with transfer learning

W Chen, L Su, X Chen, Z Huang - Frontiers in Earth Science, 2023 - frontiersin.org
Rock image classification is a significant part of geological research. Compared with
traditional image classification methods, rock image classification methods based on deep …

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

C Su, S Xu, K Zhu, X Zhang - Earth Science Informatics, 2020 - Springer
Rock classification plays an important role in rock mechanics, petrology, mining
engineering, magmatic processes, and numerous other fields pertaining to geosciences …

Recognizing multiple types of rocks quickly and accurately based on lightweight CNNs model

G Fan, F Chen, D Chen, Y Dong - IEEE Access, 2020 - ieeexplore.ieee.org
The recognition and classification of rock lithology is an extremely important task of
geological surveys. This paper proposes a new method for quickly identifying multiple types …

Integrated lithology identification based on images and elemental data from rocks

Z Xu, H Shi, P Lin, T Liu - Journal of Petroleum Science and Engineering, 2021 - Elsevier
In order to realize low-cost, fast and accurate lithology identification in reservoir evaluation,
stratum development potential evaluation and underground engineering construction, we …

A new method of lithology classification based on convolutional neural network algorithm by utilizing drilling string vibration data

G Chen, M Chen, G Hong, Y Lu, B Zhou, Y Gao - Energies, 2020 - mdpi.com
Formation lithology identification is of great importance for reservoir characterization and
petroleum exploration. Previous methods are based on cutting logging and well-logging …