Measurement of crude oil water content based on cross-correlation method

Abstract

In order to measure the proportion of each phase flow of oil-water mixture in practical application and improve the accuracy of crude oil moisture measurement, a method for measuring the water content of crude oil based on cross-correlation method is proposed. The capacitive array sensor is used for measurement to reduce the influence of the flow pattern on the measurement accuracy. The Particle Swarm Optimization BP Neural Network is used to accurately and nonlinearly fit the relationship between the voltage value and the water content to effectively improve the accuracy of the water content measurement.