An Artificial Neural Network Model for Predicting the Pressure Gradient in Horizontal Oil–Water Separated Flow

An Artificial Neural Network Model for Predicting the Pressure Gradient in Horizontal Oil–Water Separated Flow

In this study, a three–layer \ artificial neural network (ANN) model was developed to predict the pressure gradient in horizontal liquid–liquid separated flow. A total of 455 data points were collected from 13 data sources to develop the ANN model. Superficial velocities, viscosity ratio and density...

Full description

Bibliographic Details
Main Authors: Sadra Azizi, Hajir Karimi
Format: Article
Language:English
Published: University of Tehran 2015-12-01
Series:Journal of Chemical and Petroleum Engineering
Subjects:
Liquid–liquid flow
Pressure gradient
Oil–water separated flow
Artificial Neural Network
Online Access:https://jchpe.ut.ac.ir/article_1808.html

Internet

https://jchpe.ut.ac.ir/article_1808.html

Similar Items