Advancing Geotechnical Evaluation of Wellbores: A Robust and Precise Model for Predicting Uniaxial Compressive Strength (UCS) of Rocks in Oil and Gas Wells
This study examines the efficacy of various machine learning models for predicting the uniaxial compressive strength (UCS) of rocks in oil and gas wells, which are essential for ensuring wellbore stability and optimizing drilling operations. The investigation encompasses Linear Regression, ensemble...
Saved in:
| Main Author: | Mohammadali Ahmadi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/22/10441 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Piezoelectric characteristics of coal rock leakage under uniaxial compression
by: Zeyi Liu, et al.
Published: (2025-02-01) -
Modeling the Influence of Non-Constant Poisson’s Ratio on Crack Formation Under Uniaxial Compression of Rocks and Concrete
by: Gennady Kolesnikov, et al.
Published: (2025-06-01) -
Research on vertical structure stability before cementing ultra-deep wellbore by drilling method
by: Renliang SHAN, et al.
Published: (2024-12-01) -
Influence of rock heterogeneity on the correlation between uniaxial compressive strength and Brazilian tensile strength
by: Fanmeng M. Kong, et al.
Published: (2025-01-01) -
Modeling study of uniaxial compressive strength prediction from similar analog drilling test signals
by: Heqing LIU, et al.
Published: (2025-04-01)