Evolutionary automated radial basis function neural network for multiphase flowing bottom-hole pressure prediction

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Evolutionary automated radial basis function neural network for multiphase flowing bottom-hole pressure prediction

Accurate multiphase flowing bottom-hole pressure prediction within wellbores is a critical requirement to improve tube design and production optimization. Existing models often struggle to achieve reliable accuracy across the full range of operational conditions encountered in oil and gas wells. Thi...

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Bibliographic Details
Main Authors:	Campos, Deivid, Wayo, Dennis Delali Kwesi, De Santis, Rodrigo Barbosa, Martyushev, Dmitriy A., Yaseen, Zaher Mundher, Duru, Ugochukwu Ilozurike, Saporetti, Camila M., Goliatt, Leonardo
Format:	Article
Language:	English English
Published:	Elsevier 2024
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/43134/ http://umpir.ump.edu.my/id/eprint/43134/1/Evolutionary%20automated%20radial%20basis%20function%20neural%20network_ABST.pdf http://umpir.ump.edu.my/id/eprint/43134/2/Evolutionary%20automated%20radial%20basis%20function%20neural%20network.pdf

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