A radiation-based hydrocarbon two-phase flow meter for estimating of phase fraction independent of liquid phase density in stratified regime. (December 2015)

• Record Type: Journal Article
• Authors: Nazemi, E.; Feghhi, S.A.H.; Roshani, G.H.; Setayeshi, S.; Peyvandi, R. Gholipour
• Is Part Of: Flow measurement and instrumentation. Volume 46:Part A(2015:Dec.)
• Page Start: 25
• Page End: 32
• Publication Date: 2015-12
• Subjects: Radial Basis Function -- Radiation-based MPFM -- Detector -- Void fraction -- Prediction; Fluid dynamic measurements -- Periodicals; Flow meters -- Periodicals; Fluides, Dynamique des -- Mesure -- Périodiques; Débitmètres -- Périodiques; 681.2805
• DOI: 10.1016/j.flowmeasinst.2015.09.002
• Languages: English
• ISSNs: 0955-5986

Abstract

Abstract: The fluid properties strongly affect the performance of radiation-based multiphase flow meter. By changing the fluid properties (especially density), recalibration is necessary. In this study, a method was presented to eliminate the dependency of multiphase flow meter on liquid phase density in stratified two phase horizontal flows. At the first step the position of the scattering detector was optimized in order to achieve highest sensitivity. Several experiments in optimized position were done. Counts under the full energy peak of transmission detector and total counts of scattering detector were applied to the Radial Basis Function neural network and the void fraction percentage was considered as the neural network output. Using this method, the void fraction was predicted independent of the liquid phase density change in stratified regime of gas–liquid two-phase flows with mean relative error percentage less than 1.2%. Highlights: A method was presented to eliminate the MFM dependency on liquid phase density. The position of the scattering detector was optimized. Several experiments in optimized position were done. The void fraction was predicted with MRE% less than 1.2%.