Researchers at Federal University of Technology Have Published New Study Findings on Machine Learning (An adaptive neuro-fuzzy inference system white-box model for real-time multiphase flowing bottom-hole pressure prediction in wellbores)

Robotics & Machine Learning Daily News2024，Issue(Jan.2) ：2-3.

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Researchers at Federal University of Technology Have Published New Study Findings on Machine Learning (An adaptive neuro-fuzzy inference system white-box model for real-time multiphase flowing bottom-hole pressure prediction in wellbores)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Researchers detail new data in artificial intelligence. According to news reporting originatingfrom Owerri, Nigeria, by NewsRx correspondents, research stated, “The majority of published empiricalcorrelations and mechanistic models are unable to provide accurate flowing bottom-hole pressure (FBHP)predictions when real-time field well data are used. This is because the empirical correlations and theempirical closure correlations for the mechanistic models were developed with experimental datasets.”

Key words

Federal University of Technology/Owerri/Nigeria/Africa/Cyborgs/Emerging Technologies/Fuzzy Logic/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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