An intelligent lithology identification method for sandstone and mudstone strata and its applications: A case study of the Jurassic strata in the Lunnan area, Xinjiang, China
ObjectiveLithology identification lays the foundation for fine-scale reservoir evaluation. However, traditional identification methods generally utilize the interactive relationships between only 2‒3 logging parameters, suffering from low utilization rates of logging information and low identificati...
Saved in:
Main Authors: | Ming CAI, Qingwen ZHOU, Cong YANG, Feng CHEN, Dong WU, Wang LIN, Chengguang ZHANG, Yuanjun ZHANG, Yuxin MIAO |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Coal Geology & Exploration
2025-01-01
|
Series: | Meitian dizhi yu kantan |
Subjects: | |
Online Access: | http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.07.0503 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs
by: Hanlin Feng, et al.
Published: (2025-01-01) -
Novel models based on machine learning to predict the prognosis of metaplastic breast cancer
by: Yinghui Zhang, et al.
Published: (2025-02-01) -
Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques
by: Khaled Megahed
Published: (2025-02-01) -
Tunnel face stability in strata rich in water with soft upper and hard lower layers
by: Tao Zhan, et al.
Published: (2025-02-01) -
Optical-electrical-acoustic wave multiparameter response characteristics of typical rocks in coal-bearing strata throughout the loading process
by: Pingsong ZHANG, et al.
Published: (2025-01-01)