An artificial neural network visible mathematical model for real-time prediction of multiphase flowing bottom-hole pressure in wellbores

An artificial neural network visible mathematical model for real-time prediction of multiphase flowing bottom-hole pressure in wellbores

Accurate prediction of multiphase flowing bottom-hole pressure (FBHP) in wellbores is an important factor required for optimal tubing design and production optimization. Existing empirical correlations and mechanistic models provide inaccurate FBHP predictions when applied to real-time field dataset...

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Bibliographic Details
Main Authors: Chibuzo Cosmas Nwanwe, Ugochukwu Ilozurike Duru, Charley Anyadiegwu, Azunna I.B. Ekejuba
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-09-01
Series:Petroleum Research
Subjects:
Flowing bottom-hole pressure
Real-time prediction
Artificial neural network
Visible mathematical model
Levenberg-marquardt optimization algorithm
Hyperbolic tangent activation function
Online Access:http://www.sciencedirect.com/science/article/pii/S2096249522000680

Internet

http://www.sciencedirect.com/science/article/pii/S2096249522000680

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