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 …

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 …

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 …

In the mining process of underground metal mines, the misjudgment of rock types by on-site
technicians will have a serious negative impact on the stability evaluation of rock mass and …

The automated interpretation of rock structure can improve the efficiency, accuracy, and
consistency of the geological risk assessment of tunnel face. Because of the high …

In order to realize low-cost, fast and accurate lithology identification in reservoir evaluation,
stratum development potential evaluation and underground engineering construction, we …

Formation lithology identification is of great importance for reservoir characterization and
petroleum exploration. Previous methods are based on cutting logging and well-logging …

In this study, efficient deep transfer learning models are proposed to classify six types of
volcanic rocks, and this paper has a novelty in classifying volcanic rock types for the first time …

Rock classification plays an important role in rock mechanics, petrology, mining
engineering, magmatic processes, and numerous other fields pertaining to geosciences …

The automatic identification of rock type in the field would aid geological surveying,
education, and automatic mapping. Deep learning is receiving significant research attention …