GIAT: A Geologically-Informed Attention Transformer for Lithology Identification

Jie Li, Qishun Yang, Nuo Li

Accurate lithology identification from well logs is crucial for subsurface resource evaluation. Although Transformer-based models excel at sequence modeling, their "black-box" natu…