TY - JOUR
T1 - Integration of impedance measurements with acoustic measurements for accurate two phase flow metering in case of high water-cut
AU - Meribout, Mahmoud
AU - Al-Rawahi, Nabeel
AU - Al-Naamany, Ahmed
AU - Al-Bimani, Ali
AU - Al-Busaidi, Khamis
AU - Meribout, Adel
PY - 2010/3
Y1 - 2010/3
N2 - Previous studies have yielded promising results as to the use of impedance measurements in two phase flow metering in estimating the flow rate of individual flows in oil fields (i.e. water and oil flows). However, most of these approaches are not accurate in the case of high water-cut or within the water-cut range 40% to 60%, where the mixed liquid is neither a good conductor, nor a good insulator. With the increased out-aging of the oil fields, these two ranges are usually dominant which require the usage of new methods. This paper presents a new non-radioactive probe which combines acoustic measurements with the impedance measurements to accurately provide in real-time the flow rate of each individual flow within the whole water-cut range. A dedicated pattern recognition algorithm using a neural network and relying on the physical properties of the fluid dynamic has been implemented. Experimental measurements performed on a laboratory scale two phase flow loop show that the proposed flow meter can in fact become a competitive two phase flow meter, since less than 5% relative error could be achieved for the whole water-cut range.
AB - Previous studies have yielded promising results as to the use of impedance measurements in two phase flow metering in estimating the flow rate of individual flows in oil fields (i.e. water and oil flows). However, most of these approaches are not accurate in the case of high water-cut or within the water-cut range 40% to 60%, where the mixed liquid is neither a good conductor, nor a good insulator. With the increased out-aging of the oil fields, these two ranges are usually dominant which require the usage of new methods. This paper presents a new non-radioactive probe which combines acoustic measurements with the impedance measurements to accurately provide in real-time the flow rate of each individual flow within the whole water-cut range. A dedicated pattern recognition algorithm using a neural network and relying on the physical properties of the fluid dynamic has been implemented. Experimental measurements performed on a laboratory scale two phase flow loop show that the proposed flow meter can in fact become a competitive two phase flow meter, since less than 5% relative error could be achieved for the whole water-cut range.
KW - Acoustic arrays
KW - Acoustic signal processing
KW - Artificial intelligence
KW - Computer architecture
KW - Neural network
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U2 - 10.1016/j.flowmeasinst.2009.09.002
DO - 10.1016/j.flowmeasinst.2009.09.002
M3 - Article
AN - SCOPUS:75849154759
SN - 0955-5986
VL - 21
SP - 8
EP - 19
JO - Flow Measurement and Instrumentation
JF - Flow Measurement and Instrumentation
IS - 1
ER -