研究论文
Automated lithology classification from drill core images using convolutional neural networks
Fatimah Alzubaidi, Peyman Mostaghimi, Paweł Świętojański, Stuart Clark, Ryan T. Armstrong
UNSW Sydney
来源Journal of Petroleum Science and Engineering
年份2020
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学术脉络
学科主题
工程Hydrocarbon exploration and reservoir analysis
Mineral Processing and Grinding · Hydraulic Fracturing and Reservoir Analysis
参考文献 69
Logistic Regression Models
被引 2,620Joseph M. Hilbe · 2009
The Optimality of Naive Bayes.
被引 1,403Harry Zhang · 2004
Lithology prediction by support vector classifiers using inverted seismic attributes data and petrophysical logs as a new approach and investigation of training data set size effect on its performance in a heterogeneous carbonate reservoir
被引 92Mohammad Ali Sebtosheikh, Ali Salehi · Journal of Petroleum Science and Engineering · 2015
此处列出前 3 条
施引文献 184
Artificial intelligence for geoscience: Progress, challenges, and perspectives
被引 331Tianjie Zhao, Sheng Wang, Chaojun Ouyang · The Innovation · 2024
A real-time intelligent lithology identification method based on a dynamic felling strategy weighted random forest algorithm
被引 108Tie Yan, Rui Xu, Shihui Sun · Petroleum Science · 2023
Gas channels and chimneys prediction using artificial neural networks and multi-seismic attributes, offshore West Nile Delta, Egypt
被引 78Amir Ismail, Hatem Farouk Ewida, Sahar Nazeri · Journal of Petroleum Science and Engineering · 2021
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