A Coal Seam Thickness Prediction Model Based on CPSAC and WOA–LS-SVM: A Case Study on the ZJ Mine in the Huainan Coalfield

A Coal Seam Thickness Prediction Model Based on CPSAC and WOA–LS-SVM: A Case Study on the ZJ Mine in the Huainan Coalfield

The precise prediction of coal seam thickness in operating mines is crucial for the construction of transparent mines. Geological borehole data or a small amount of seismic information is frequently used in traditional coal seam thickness prediction methods; however, these methods have poor precisio...

Full description

Bibliographic Details
Main Authors: Xiaobo Lin, Pingsong Zhang, Fanbin Meng, Chang Liu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
comprehensive preference
seismic attributes combination
WOA–LS-SVM
prediction model
dimensional reduction
seismic attribute
Online Access:https://www.mdpi.com/1996-1073/15/19/7324

Internet

https://www.mdpi.com/1996-1073/15/19/7324

Similar Items