化工进展2024，Vol.43Issue(2)：855-864,10.DOI:10.16085/j.issn.1000-6613.2023-1557
基于电容层析测量的油气两相流动态信号时频分析方法
Dynamic signal analysis for gas-oil two-phase flow in time-frequency domain based on electrical capacitance tomography
徐一 1李轶 2马志扬 1王海刚1
作者信息
- 1. 中国科学院工程热物理研究所,煤炭高效低碳利用全国重点实验室,北京 100190||中国科学院大学,北京 100190
- 2. 清华大学深圳国际研究生院,广东 深圳 518055
- 折叠
摘要
Abstract
In this research,based on virtual ECT sensors and flow-electric coupling simulation method,four typical oil gas two-phase flow patterns and their corresponding measurement signals were dynamically simulated.Time-series signals of pressure and capacitance were analyzed by applying multi-resolution analysis(MRA)and time-frequency analysis methods based on wavelet transform.Continuous wavelet transform can display the energy distribution in the time-frequency two-dimensional domain and effectively locate flow fluctuations.Based on the wavelet MRA method,the original signals were decomposed into different frequency bands within the same time range.As results,both pressure and capacitance signal analyses showed the similar migration pattern of main frequency banded from middle to low and then to high frequency with flow pattern changes,which provided flow pattern identification with a potential criterion.This method was validated through experimental measurements in the intermittent flow,effectively reflecting the changes in slug frequency,flow fluctuation,and liquid slug morphology under different flow rates.The research method and results in this paper are expected to provide reliable means for flow pattern identification and process monitoring in practical industrial processes.关键词
电容层析成像/两相流/小波变换/多分辨率分析Key words
electrical capacitance tomography/two-phase flow/wavelet transform/multi-resolution analysis分类
能源科技引用本文复制引用
徐一,李轶,马志扬,王海刚..基于电容层析测量的油气两相流动态信号时频分析方法[J].化工进展,2024,43(2):855-864,10.
