Volume fraction measurement in gas-liquid two phase flow using gamma radiation scattering

During the last three decades, development, evaluation, and use of multiphase-flow- measurement systems have been a major focus for the oil and gas industry worldwide. Volume fraction measurement of the multi phase flows, especially gas - liquid two phase flows is so important issue in the oil and petroleum industry. Volume fractions are key parameters in multi phase flow rate metering. In this study, volume fraction of each phase was measured using gamma ray scattering and artificial neural network. The density of two phase flow is related to the volume fractions and number of the scattered gamma can be changed with this density. 137Cs single energy source and one 3-inch NaI (Tl) scintillation detector were used and the registered counts in the detector were applied to the multi layer neural network. The output of the network was gas volume fraction which was predicted with the mean relative error of less than 2.5%.