Research on lithology identification method based on mechanical specific energy principle and machine learning theory
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
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1. Hybrid Lithology Identification Method Based on Isometric Feature Mapping Manifold Learning and Particle Swarm Optimization-Optimized LightGBM;Processes;2024-07-29
2. Attention mechanism-enhanced graph convolutional neural network for unbalanced lithology identification;Scientific Reports;2024-07-27
3. A novel hybrid CNN–SVM method for lithology identification in shale reservoirs based on logging measurements;Journal of Applied Geophysics;2024-04
4. Analysis and Multi-Objective Optimization of the Rate of Penetration and Mechanical Specific Energy: A Case Study Applied to a Carbonate Hard Rock Reservoir Based on a Drill Rate Test Using Play-Back Methodology;Applied Sciences;2024-03-07
5. Prediction of igneous lithology and lithofacies based on ensemble learning with data optimization;GEOPHYSICS;2024-02-15
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