Application of Log Lithofacies Classification Model Based on Clustering-Support Vector Classification Method
The carbonate reservoir in study area A of the Middle East has good reservoir quality. However, in this area, the pore types are numerous, the pore structure is complex, and the heterogeneity difference between wells is really strong. So it is difficult to complete the lithofacies identification and...
Saved in:
| Main Authors: | HE Xianhong, LI Kesai, XU Jiacheng, FU Meiyan, YANG Yufei, SUN Jiaqi |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Well Logging Technology
2023-04-01
|
| Series: | Cejing jishu |
| Subjects: | |
| Online Access: | https://www.cnpcwlt.com/#/digest?ArticleID=5467 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Implementation of Machine Learning in Lithofacies Classification using Multi Well Logs Data
by: Sudarmaji Saroji*, et al.
Published: (2021-04-01) -
Well-log lithofacies classification based on machine learning for Chang-7 member in Longdong area of Ordos Basin
by: SHEN Li,WANG Caizhi,NING Congqian,LIU Yingming,WANG Hao
Published: (2023-08-01) -
Identification and application of shale lithofacies based on conventional logging curves: A case study of the second member of Funing Formation in Qintong Sag, Subei Basin
by: WANG Xinqian, YU Wenduan, MA Xiaodong, ZHOU Tao, TAI Hao, CUI Qinyu, DENG Kong, LU Yongchao, LIU Zhanhong
Published: (2024-10-01) -
Fine interpretation method for tight reservoirs based on core experiments and imaging logging: a case study of tight carbonate rocks in L area
by: Li Dan, et al.
Published: (2025-04-01) -
Application of borehole images in the characterization of volcanic paleoenvironments with implications for the exploration of hydrocarbons in Brazilian basins
by: S A FORNERO, et al.
Published: (2025-06-01)