Prediction of Rheological and Filtration Loss Properties of Nano-Zirconium-Dioxide Drilling Fluids via Machine Learning Techniques for Energy Exploration

Jason, Cheah and Ilyas, Suhaib Umer and Ridha, Syahrir and Sehar, Umara and Alsaady, Mustafa and Krishna, Shwetank (2025) Prediction of Rheological and Filtration Loss Properties of Nano-Zirconium-Dioxide Drilling Fluids via Machine Learning Techniques for Energy Exploration. Lecture Notes in Civil Engineering, 558 LN. 469 - 477. ISSN 23662565; 23662557

Full text not available from this repository.

Item Type:	Article
Impact Factor:	Cited by: 0
Depositing User:	Mr Ahmad Suhairi Mohamed Lazim
Date Deposited:	26 Aug 2025 10:36
Last Modified:	26 Aug 2025 10:36
URI:	http://scholars.utp.edu.my/id/eprint/39172

Actions (login required)

View Item