化工进展2025，Vol.44Issue(4)：1834-1848,15.DOI:10.16085/j.issn.1000-6613.2024-1759
油气水三相流多模式超声测试信号分析与流型辨识
Oil-gas-water three-phase flow pattern identification based on multi-mode ultrasonic signal analysis
摘要
Abstract
Aiming at the accurate identification of horizontal oil-gas-water three-phase flow pattern,a combined pulse-wave and continuous-wave ultrasonic sensing measurement method and a multi-domain feature extraction scheme were proposed.In this study,horizontal oil-gas-water three-phase flow dynamic experiments were firstly conducted,and a pulse-wave ultrasonic sensor with a single piezoelectric chip and a continuous-wave ultrasonic sensor with two piezoelectric chips were adopted to synchronously acquire the echo intensity data and Doppler frequency shift data during the flow process.By analyzing the signal responses to different flow patterns,the flow characteristics of different oil-gas-water three-phase flow patterns were revealed.Then,the probability distribution of the radial position of the maximum value in the echo intensity profile,the time series of the average flow velocity and the decomposition of the Doppler frequency shift signal were calculated,and several features were extracted from them to quantify the distribution characteristics of phase interfaces in spatial domain and the fluctuation characteristics of the flow velocity in time and frequency domains.Using the extracted multi-domain feature vector,a classifier based on the random forest was finally constructed,and 8 types of horizontal oil-gas-water three-phase flow patterns were accurately identified with a total identification accuracy of 96.6％.The proposed method provides a simple,efficient,low-cost,and non-invasive solution for the flow pattern identification of complex industrial multiphase flows,which has important scientific and engineering significance.关键词
油气水三相流/流速/界面/测量/流型识别/仪器仪表Key words
oil-gas-water three-phase flow/velocity/interface/measurement/flow pattern identification/instrumentation分类
化学化工引用本文复制引用
史雪薇,谭超,董峰..油气水三相流多模式超声测试信号分析与流型辨识[J].化工进展,2025,44(4):1834-1848,15.基金项目
国家自然科学基金(62303346) （62303346）
中国博士后科学基金(2022M712356) （2022M712356）
国家级专项"海洋油田光电液一体化智能完井系统研发". （）
