Enhanced Lithology Classification in Well Log Data Using Ensemble Machine Learning Techniques
Author:
Affiliation:
1. Institut Teknologi Sepuluh Nopember,Department of Informatics,Surabaya,Indonesia
2. Institut Teknologi Sepuluh Nopember,Department of Geophysics Engineering,Surabaya,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10511274/10512358/10512485.pdf?arnumber=10512485
Reference42 articles.
1. Automated lithology classification from drill core images using convolutional neural networks
2. Lithological facies classification using deep convolutional neural network
3. A gradient boosting decision tree algorithm combining synthetic minority oversampling technique for lithology identification
4. Feature-Depth Smoothness Based Semi-Supervised Weighted Extreme Learning Machine for lithology identification
5. Evaluation and Development of a Predictive Model for Geophysical Well Log Data Analysis and Reservoir Characterization: Machine Learning Applications to Lithology Prediction
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