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

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

Abstract Currently, regression prediction methods based on logging data is one of the main methods for analyzing gas content of coal seams. However, the complexity of logging parameters for deep coal seams and the scarcity of measured gas content data significantly affects the accuracy and generaliz...

Full description

Saved in:
Bibliographic Details
Main Authors: Yijie Wen, Shu Tao, Fan Yang, Yi Cui, Qinghe Jing, Jie Guo, Shida Chen, Bin Zhang, Jincheng Ye
Format: Article
Language:English
Published: SpringerOpen 2025-08-01
Series:International Journal of Coal Science & Technology
Subjects:
Deep CBM
Gas content prediction
Model-agnostic meta-learning
Few-shot learning
Online Access:https://doi.org/10.1007/s40789-025-00807-z
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items