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