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

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Main Authors: Ning, Yee Cai, Ridha, Syahrir, Ilyas, Suhaib Umer, Krishna, Shwetank, Dzulkarnain, Iskandar, Abdurrahman, Muslim
Format: Article
Published: Springer 2023
Online Access:http://scholars.utp.edu.my/id/eprint/36650/
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spelling oai:scholars.utp.edu.my:366502023-07-21T02:38:09Z http://scholars.utp.edu.my/id/eprint/36650/ Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid Ning, Yee Cai Ridha, Syahrir Ilyas, Suhaib Umer Krishna, Shwetank Dzulkarnain, Iskandar Abdurrahman, Muslim Springer 2023 Article NonPeerReviewed Ning, Yee Cai and Ridha, Syahrir and Ilyas, Suhaib Umer and Krishna, Shwetank and Dzulkarnain, Iskandar and Abdurrahman, Muslim (2023) Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid. Journal of Petroleum Exploration and Production Technology, 13 (4). pp. 1031-1052.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Ning, Yee Cai
Ridha, Syahrir
Ilyas, Suhaib Umer
Krishna, Shwetank
Dzulkarnain, Iskandar
Abdurrahman, Muslim
spellingShingle Ning, Yee Cai
Ridha, Syahrir
Ilyas, Suhaib Umer
Krishna, Shwetank
Dzulkarnain, Iskandar
Abdurrahman, Muslim
Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid
author_facet Ning, Yee Cai
Ridha, Syahrir
Ilyas, Suhaib Umer
Krishna, Shwetank
Dzulkarnain, Iskandar
Abdurrahman, Muslim
author_sort Ning, Yee Cai
title Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid
title_short Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid
title_full Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid
title_fullStr Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid
title_full_unstemmed Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid
title_sort application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid
publisher Springer
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/36650/
_version_ 1772814392663998464
score 13.211869

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