首页|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)
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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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.”
Federal University of TechnologyOwerriNigeriaAfricaCyborgsEmerging TechnologiesFuzzy LogicMachine Learning
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