[HTML][HTML] 大数据与数学地球科学研究进展—大数据与数学地球科学专题代序

周永章, 陈铄, 张旗, 肖凡, 王树功, 刘艳鹏, 焦守涛 - 岩石学报, 2018 - html.rhhz.net
大数据与数学地球科学的核心应用技术包括高维数据降维, 图像数据处理, 无限数据流挖掘,
机器学习, 关联规则算法与推荐系统算法等. 人工智能地质学, 包括大数据 …

Evaluation technology and practice of continental shale oil development in China

LI Yang, Z Qingmin, LYU Qi, XUE Zhaojie… - Petroleum Exploration …, 2022 - Elsevier
This paper analyzes the differences in geological and development characteristics between
continental shale oil in China and marine shale oil in North America, reviews the evaluation …

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 …

Convolutional neural network and transfer learning based mineral prospectivity modeling for geochemical exploration of Au mineralization within the Guandian …

H Li, X Li, F Yuan, SM Jowitt, M Zhang, J Zhou… - Applied …, 2020 - Elsevier
Abstract The Zhangbaling–Guandian area is located in the eastern part of Anhui Province,
China, and contains several small Au-Cu deposits and occurrences that highlight the …

[HTML][HTML] Rock classification from field image patches analyzed using a deep convolutional neural network

X Ran, L Xue, Y Zhang, Z Liu, X Sang, J He - Mathematics, 2019 - mdpi.com
The automatic identification of rock type in the field would aid geological surveying,
education, and automatic mapping. Deep learning is receiving significant research attention …

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 …

[HTML][HTML] Intelligent early-warming platform for open-pit mining: Current status and prospects

Z Song, X Li, R Huo, L Liu - Rock Mechanics Bulletin, 2023 - Elsevier
As the profundity of open-pit mining operations has increased, so has the frequency of
geological disasters. The complex interaction of factors causing these disasters presents …

[HTML][HTML] 地质领域机器学习, 深度学习及实现语言

周永章, 王俊, 左仁广, 肖凡, 沈文杰, 王树功 - 岩石学报, 2018 - html.rhhz.net
地质大数据正在以指数形式增长. 只有发展智能数据处理方法才有可能追上大数据的超常增长.
机器学习是人工智能的核心, 是使计算机具有智能的根本途径. 机器学习已成为地质大数据研究 …

[HTML][HTML] Rock image classification based on EfficientNet and triplet attention mechanism

Z Huang, L Su, J Wu, Y Chen - Applied Sciences, 2023 - mdpi.com
Featured Application The work presents an image classification algorithm for rock-type
recognition, which can provide reliable guidance for geological surveys. Abstract Rock …

基于岩石图像深度学习的多尺度岩性识别

马泽栋, 马雷, 李科, 姚伟, 王培丁, 王鑫宇 - 地质科技通报, 2022 - dzkjqb.cug.edu.cn
岩性识别作为人工智能和大数据在地质工程细分领域的实践应用方向, 可以为相关人员野外地质
工作提供有效助力. 为了更好地促进岩性识别在专业领域的应用, 通过对巢湖北部山区的岩石 …