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An automatic identification method of imbalanced lithology based on Deep Forest and K-means SMOTE

Geoenergy Science and Engineering, 2023
Dailu Zhang, Hongbing Zhang, Quan Ren
exaly  

Application of machine learning models for real-time prediction of the formation lithology and tops from the drilling parameters

Journal of Petroleum Science and Engineering, 2021
Ahmed Abdulhamid Mahmoud   +2 more
exaly  

Lithology Prediction of One-dimensional Residual Network Based on Regularization Constraints

Journal of Petroleum Science and Engineering, 2022
Zhuofan Liu
exaly  

Formation lithology classification using scalable gradient boosted decision trees

Computers and Chemical Engineering, 2019
Mario Eden, Vikrant A Dev
exaly  

Lithology identification using kernel Fisher discriminant analysis with well logs

Journal of Petroleum Science and Engineering, 2016
Shaoqun Dong, Lianbo Zeng
exaly  

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