Enhanced Lithology Classification Using an Interpretable SHAP Model Integrating Semi-Supervised Contrastive Learning and Transformer with Well Logging Data
In petroleum and natural gas exploration, lithology identification—analyzing rock types
beneath the Earth's surface—is crucial for assessing hydrocarbon reservoirs and optimizing …
beneath the Earth's surface—is crucial for assessing hydrocarbon reservoirs and optimizing …
From Pretext to Purpose: Batch-Adaptive Self-Supervised Learning
In recent years, self-supervised contrastive learning has emerged as a distinguished
paradigm in the artificial intelligence landscape. It facilitates unsupervised feature learning …
paradigm in the artificial intelligence landscape. It facilitates unsupervised feature learning …