Development of a Universal Artificial Neural Network Model for Pressure Loss Estimation in Pipeline Systems; A comparative Study
This study aims to develop a universal artificial neural network model for estimating pressure drop at pipelines under multiphase flow conditions. Three phase flow data have been collected from different geographical locations; especially from Middle-Eastern fields in order to construct, test, and v...
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Main Authors: | , |
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Format: | Conference or Workshop Item |
Published: |
2010
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Subjects: | |
Online Access: | http://eprints.utp.edu.my/3883/1/PEG-D3-09A-05.pdf http://eprints.utp.edu.my/3883/ |
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