Geophysical Log Responses and Predictive Modeling of Coal Quality in the Shanxi Formation, Northern Jiangsu, China
Traditional coal quality assessment methods rely exclusively on the laboratory testing of physical samples, which impedes detailed stratigraphic evaluation and limits the integration of intelligent precision mining technologies. To resolve this challenge, this study investigates geophysical logging...
Saved in:
| Main Authors: | Xuejuan Song, Meng Wu, Nong Zhang, Yong Qin, Yang Yu, Yaqun Ren, Hao Ma |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/13/7338 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluating free gas in coal measure sandstones: a hybrid geophysical logging approach
by: Zexin Yu, et al.
Published: (2025-07-01) -
Analysis of typical applications of geophysical well logs in geological fields
by: Jin LAI, et al.
Published: (2024-09-01) -
Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method
by: Qingfeng ZHANG, et al.
Published: (2025-01-01) -
Spatial morphology of canal residences from the perspective of cultural ecology: insights from the Yaowan Ancient Town in northern Jiangsu province, China
by: Chang Ding, et al.
Published: (2025-07-01) -
Geophysical Well Logging in the AI Era: Practices and Prospects
by: XIAO Lizhi
Published: (2025-06-01)