Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid

Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid

Abstract A detailed understanding of the drilling fluid rheology and filtration properties is essential to assuring reduced fluid loss during the transport process. As per literature review, silica nanoparticle is an exceptional additive to enhance drilling fluid rheology and filtration properties e...

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Bibliographic Details
Main Authors: Yee Cai Ning, Syahrir Ridha, Suhaib Umer Ilyas, Shwetank Krishna, Iskandar Dzulkarnain, Muslim Abdurrahman
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Artificial neural network (ANN)
Drilling fluid
Filtration loss
Least square support vector machine (LSSVM)
Nanoparticles
Rheology
Online Access:https://doi.org/10.1007/s13202-022-01589-9

Internet

https://doi.org/10.1007/s13202-022-01589-9

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