Development of a Universal Pressure Drop Model in Pipelines Using Group Method of Data Handling-Type Neural Networks Model
This paper presents a universal pressure drop model in pipelines using the group method of data handling (GMDH)-type neural networks technique. The model has been generated and validated under three phase flow conditions. As it is quite known in production engineering that estimating pressure drop u...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Published: |
2013
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| Online Access: | http://eprints.utp.edu.my/10628/2/Development%20of%20a%20Universal%20Pressure%20Drop%20Model%20in%20Pipelines%20Using%20Group%20Method%20of%20Data%20Handling.pdf http://www.iogse2013.tasacad.org/ http://eprints.utp.edu.my/10628/ |
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