Dual Adversarial Adaptation With Dynamic Labeling Mechanism for Semisupervised Cross-Well Lithology Identification

Summary

The paper proposes a dual adversarial adaptation method with a dynamic labeling mechanism for semisupervised cross-well lithology identification from well log data. It addresses data divergence within wells, which the authors argue existing transfer methods ignore, leading to inaccurate pseudolabels and erroneous label matching across wells. Experiments on actual well log datasets show effective identification when target labels are scarce.