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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Tehran
2015-12-01
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| Series: | Journal of Chemical and Petroleum Engineering |
| Subjects: | |
| Online Access: | https://jchpe.ut.ac.ir/article_1808.html |