GIAT: A Geologically-Informed Attention Transformer for Lithology Identification
arXiv:2603.09165v1 Announce Type: new Abstract: Accurate lithology identification from well logs is crucial for subsurface resource evaluation. Although Transformer-based models excel at sequence modeling, their …
Jie Li, Qishun Yang, Nuo Li
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