Development of a Universal Pressure Drop Model in Pipelines Using Group Method of Data Handling-Type Neural Networks Model

• Main Authors: Ayoub, Mohammed Abdalla, Elraies, Khaled A
• Format: Conference or Workshop Item
• Published: 2013
• 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/

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...