An artificial neural network visible mathematical model for predicting slug liquid holdup in low to high viscosity multiphase flow for horizontal to vertical pipes

Abstract Slug liquid holdup (SLH) is a critical requirement for accurate pressure drop prediction during multiphase pipe flows and by extension optimal gas lift design and production optimization in wellbores. Existing empirical correlations provide inaccurate predictions because they were developed...

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Detalles Bibliográficos

Principais autores:	Chibuzo Cosmas Nwanwe, Ugochukwu Ilozurike Duru, Charley Iyke C. Anyadiegwu, Azunna I. B. Ekejuba, Stanley I. Onwukwe, Angela N. Nwachukwu, Boniface U. Okonkwo
Formato:	Artigo
Idioma:	Inglês
Publicado:	SpringerOpen 2024-10-01
Series:	Journal of Engineering and Applied Science
Assuntos:	Artificial neural network Slug liquid holdup Visible mathematical model Black-box model Linear activation function Hyperbolic tangent activation function
Acceso en liña:	https://doi.org/10.1186/s44147-024-00530-7
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