TY - JOUR
T1 - An accurate machine for real-time two-phase flowmetering in a laboratory-scale flow loop
AU - Meribout, Mahmoud
AU - Al-Rawahi, Nabeel Z.
AU - Al-Naamany, Ahmed M.
AU - Al-Bimani, Ali
AU - Al Busaidi, Khamis
AU - Meribout, Adel
PY - 2009
Y1 - 2009
N2 - 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 ± 5% 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.
AB - 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 ± 5% 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.
KW - Neural network
KW - Pattern recognition
KW - Two-phase flowmeter (TPFM)
KW - Venture sensor
KW - Water-cut measurement
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U2 - 10.1109/TIM.2009.2015702
DO - 10.1109/TIM.2009.2015702
M3 - Article
AN - SCOPUS:67949121972
SN - 0018-9456
VL - 58
SP - 2686
EP - 2696
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
IS - 8
ER -