Artificial neural network application for multiphase flow patterns detection: A new approach

Author:

Al-Naser Mustafa,Elshafei Moustafa,Al-Sarkhi Abdelsalam

Funder

KFUPM Deanship of Scientific Research

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Fuel Technology

Reference18 articles.

1. Steady-state multiphase flow-past, present, and future, with a perspective on flow assurance;Shippen;Energy Fuels,2012

2. Bratland, O., 2009. Pipe Flow 2, Multiphase Flow Assurance Book, 2009.

3. Bratland, O., 2008. Update on Commercially Avaliable Flow Assurance Software Tools: What They Can and Cannot Do? In: Proceeedings of the 4th Asian Pipeline Conference & Exibitio, Kuala Lumpur, Malaysia.

4. Artificial neural network approach for flow regime classification in gas–liquid–fiber flows based on frequency domain analysis of pressure signals;Xiea;Chem. Eng. Sci.,2004

5. Performance comparison of artificial neural networks and expert systems applied to flow pattern identification in vertical ascendant gas–liquid flows;Rosa;Int. J. Multiph. Flow.,2010

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