Lithology recognition and porosity prediction from well logs based on Convolutional Neural Networks and sliding window

• Published in: Journal of applied geophysics Vol. 242; p. 105905
• Main Authors: Wang, Yunjuan, Wang, Xixin, Wang, Kaiyu, Fu, Ying
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2025
• Subjects: Convolutional Neural Networks; Depth sliding window; Lithology prediction; Porosity prediction; Well logs; Depth sliding window; Convolutional Neural Networks; Well logs; Lithology prediction; Porosity prediction

Predicting the lithology and porosity of borehole rocks based on wireline logging data holds significant importance. The sampling interval of the logs is relatively small, so the log values within a specific range above and below the target depth contain effective information about the borehole rock...