Study On The Influence Of Salinity On The Accuracy Of On-line Detection Of Water Content In Wellhead By Microwave Method

Water cut detection of crude oil is an important step in oil and gas production engineering,and its accurate measurement parameters are of great significance for controlling the production status of oil wells.Based on the situation of high water content in crude oil production in China and the limitations of conventional water cut detection in detection range,detection accuracy,reliability and safety.Based on the difference of dielectric constant between oil and water,we use microwave method to detect water content.Although microwave water cut detection can be applied to high water cut mining phase and has better,adaptability" compared with conventional detection,the detection method is still vulnerable to the influence of temperature,salinity,flow and other on-site detection environment,thus producing a certain detection errorIn order to improve the detection accuracy of water cut in the wellhead by microwave method,we have studied the influence of temperature and salinity on the detection accuracy of microwave water cut instrument through a large number of experiments.By using multiple regression analysis and RBF neural network,we have obtained the error correction formula and correction model of the influence of temperature and salinity on the detection accuracy of microwave sensor.By using the correction formula and model,we can make microwave The detection error of water cut instrument is reduced to within 2.52%due to temperature detection;the detection error due to the influence of salinity NaCl,CaCl2 and KCl is reduced to within 1.35%,1.54%and 1.27%respectively;the maximum detection error due to the double interference factors of salinity and temperature is reduced from ± 25.20%before correction to±4.98%,and the mean square error is reduced from±9.2%before correction to±0.9077%.