Application of Bayesian optimized XGBoost in seismic interpretation of small-scale faults

Application of Bayesian optimized XGBoost in seismic interpretation of small-scale faults

In order to further improve the identification accuracy of small-scale faults in seismic interpretation, Bayesian optimized extreme gradient boosting (XGBoost) model was constructed to recognize small-scale faults across coalbeds using reduced seismic attributes based on the theory of information va...

Full description

Bibliographic Details
Main Authors: Changwei DING, Xin WANG, Tongjun CHEN, Ting YU
Format: Article
Language:zho
Published: Editorial Office of Journal of China Coal Society 2023-06-01
Series:Meitan xuebao
Subjects:
small-scale faults
weight of evidence
bayesian optimization
acquisition function
xgboost
Online Access:http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2021.1932

Internet

http://www.mtxb.com.cn/article/doi/10.13225/j.cnki.jccs.2021.1932

Similar Items