DocumentCode :
23625
Title :
High Salinity Permittivity Models for Water Cut Sensing
Author :
Black, Michael J. ; Alhusseini, Mahmood ; Noui-Mehidi, Mohamed Nabil
Author_Institution :
EXPEC ARC, Production Technol. Div., Saudi Aramco, Dhahran, Saudi Arabia
Volume :
62
Issue :
10
fYear :
2013
fDate :
Oct. 2013
Firstpage :
2805
Lastpage :
2811
Abstract :
In high salinity water cut measurements, it is observed that the measurement breaks down as a result of the conductivity signal swamping the capacitive signal. An accurate parameterizable model of high salinity permittivity is required for the development of downhole high salinity water cut meters that will operate in reservoir brine conditions in the 100 000 ppm to 200 000 ppm range. Theoretical models proposed by Stogryn Meissner and Wentz, and Somaraju and Trumpf are compared against high salinity data obtained by Peynman An effective temperature correction accounting for the influence of salinity-induced viscosity variations on permittivity is devised. This improves the fit to the real component of permittivity within the salinity range of interest: the Meissner and Wentz model provides the best fit. Subsequently, additional mechanisms need to be considered to account for the global mismatch between theory and experiment.
Keywords :
capacitance measurement; capacitive sensors; flow sensors; hydrocarbon reservoirs; permittivity measurement; viscosity measurement; water meters; Meissner model; Wentz model; capacitive signal; conductivity signal swamping; downhole high salinity water cut meter; effective temperature correction; high salinity permittivity model; parameterizable model; reservoir brine condition; salinity water cut measurement; salinity-induced viscosity variation; water cut sensor; Capacitance; permittivity; salinity; water cut;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2013.2263912
Filename :
6553153
Link To Document :
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