DocumentCode :
1129135
Title :
An Accurate Machine for Real-Time Two-Phase Flowmetering in a Laboratory-Scale Flow Loop
Author :
Meribout, Mahmoud ; Al-Rawahi, Nabeel Z. ; Al-Naamany, Ahmed M. ; Al-Bimani, Ali ; Al Busaidi, Khamis ; Meribout, Adel
Author_Institution :
Dept. of Electr. & Comput. Eng., Sultan Qaboos Univ., Muscat, Oman
Volume :
58
Issue :
8
fYear :
2009
Firstpage :
2686
Lastpage :
2696
Abstract :
A new flow measurement system for real-time flow computation of a two-phase flow in an oil field is described. The system utilizes an array of ultrasound sensors together with capacitance and conductance sensors to accurately interpret the fluid composition in the whole water-cut range. The flow rate is determined using venturi and differential pressure techniques. A dedicated hierarchical neural network algorithm that relies on the various physical properties of the fluid was implemented and tested in a laboratory-scale flow loop. Experimental results demonstrated that real-time classification within a plusmn5% relative error in volumetric flow regardless of the flow regime or the fluid composition can be achieved. This is an improvement over traditional systems, where weak accuracy is usually obtained either within the 40%-60% water-cut range or in the case of a high water cut.
Keywords :
capacitive sensors; computerised instrumentation; flow measurement; flowmeters; neural nets; oil technology; real-time systems; two-phase flow; ultrasonic transducer arrays; capacitance sensors; conductance sensors; differential pressure techniques; flow measurement system; fluid composition; hierarchical neural network algorithm; laboratory-scale flow loop; oil field; real-time classification; real-time two-phase flowmetering; two-phase flow; ultrasound sensor array; venturi; volumetric flow; water-cut measurement; Capacitance; Capacitive sensors; Fluid flow measurement; Laboratories; Petroleum; Real time systems; Sensor arrays; Sensor systems; Ultrasonic imaging; Ultrasonic variables measurement; Neural network; pattern recognition; two-phase flowmeter (TPFM); venture sensor; water-cut measurement;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2009.2015702
Filename :
5159572
Link To Document :
بازگشت