Prediction method of gas content in deep coal seams based on logging parameters:A case study of the Baijiahai region in the Junggar Basin

Yijie Wen; Shu Tao; Fan Yang; Yi Cui; Qinghe Jing; Jie Guo; Shida Chen; Bin Zhang; Jincheng Ye

doi:10.1007/s40789-025-00807-z

🤖This page has been translated by AI and may contain inaccuracies. Please refer to the original content for clarification.

Home>Articles>Prediction method of gas content in deep coal seams based on logging parameters:A case study of the Baijiahai region in the Junggar Basin

DOI: 10.1007/s40789-025-00807-z

Prediction method of gas content in deep coal seams based on logging parameters:A case study of the Baijiahai region in the Junggar Basin

Yijie Wen

Shu Tao

Fan Yang

Yi Cui

Qinghe Jing

Jie Guo

Shida Chen

Bin Zhang

Jincheng Ye

Keywords：Deep CBMGas content predictionModel-agnostic meta-learningFew-shot learning

Publication Date：2025-10-31

Online Publishing Date：2026-01-31(First online date of this platform, not the publication date of the document)

Pages：18( 239-256 )

International Journal of Coal Science & Technology

ISTICCSCD

ISSN：2095-8293

Year, Vol.(Issue)：2025,12(5)