油气水三相流相含率超声测试模型优化

doi:10.16085/j.issn.1000-6613.2023-1384

化工进展 ›› 2024, Vol. 43 ›› Issue (2): 791-799.DOI: 10.16085/j.issn.1000-6613.2023-1384

油气水三相流相含率超声测试模型优化

苏茜¹^,²(), 邓翔天¹, 刘振兴¹^,²()

^1.武汉科技大学信息科学与工程学院（人工智能学院），湖北武汉 430081
^2.武汉科技大学冶金自动化与检测技术教育部工程研究中心，湖北武汉 430081

收稿日期:2023-08-11 修回日期:2023-11-30 出版日期:2024-02-25 发布日期:2024-03-07
通讯作者: 刘振兴
作者简介:苏茜（1987—），女，博士，副教授，研究方向为多相流测试技术与信息处理、在线检测技术与智能系统等。E-mail：suqian@wust.edu.cn。
基金资助:
国家自然科学基金(61903281);湖北省自然科学基金(2019CFB145);中国博士后科学基金(2018M642932);武汉市知识创新专项曙光计划(2022010801020311)

Model optimization of phase fraction in oil-gas-water three-phase flow using ultrasonic testing technique

SU Qian¹^,²(), DENG Xiangtian¹, LIU Zhenxing¹^,²()

^1.School of Information Science and Engineering (School of Artificial Intelligence), Wuhan University of Science and Technology, Wuhan 430081, Hubei, China
^2.Engineering Research Center of Metallurgical Automation and Measurement Technology, Wuhan University of Science and Technology, Wuhan 430081, Hubei, China

Received:2023-08-11 Revised:2023-11-30 Online:2024-02-25 Published:2024-03-07
Contact: LIU Zhenxing

摘要/Abstract

摘要：

油气水多相流广泛存在于油气工业过程。针对现有油气水多相流相含率模型对超声换能器测量信息利用有限这一问题，提出了一种水基分散分层流相含率超声测试模型的优化方法。利用最大粒径模型，研究了水基分散分层流中分散相粒径变化规律，确定粒径-波长比的范围处于中波长区。根据超声脉冲回波法，采用“一发三收”超声换能器测试系统，提出了水基分散分层流中超声扩散衰减的测试方法。在此基础上，结合Faran弹性散射理论，建立了油水分散流含油率超声测试模型。利用换能器渡越时间测量信息，提出了声程波动修正参数，改进了油水分散流中混合声速测试模型，并进一步优化了含气率测试模型。仿真结果表明，水基分散分层流含气率预测平均相对误差和均方根误差分别为0.43%和0.23%，含油率预测平均相对误差和均方根误差分别为3.30%和0.28%，验证了所提出的基于混合声速的相含率测试优化模型的有效性和准确性，为油气水多相流超声测试方法提供理论依据。

关键词: 分散系, 相含率, 模型, 优化, 脉冲回波法

Abstract:

Oil-gas-water multiphase flow is pervasive in oil and gas industry processes. However, the current phase fraction model for oil-gas-water multiphase flow limits to fully exploit the measurement information from ultrasonic transducers. To solve this problem, an optimized phase fraction model that employs an ultrasonic testing technique in water-based dispersed stratified flow was proposed. Using the maximum particle size model, the variations in particle size in water-based dispersed stratified flow was studied, and the particle size-wavelength ratio resides within the intermediate wavelength regime was determined. Moreover, a "one-transmitter-three-receivers" test system was adopted based on the ultrasonic pulse-echo method and developed a testing method for ultrasonic diffusion attenuation in water-based dispersed stratified flow. Subsequently, it was integrated Faran's elastic scattering theory to establish an ultrasonic testing model for oil fraction in oil-water dispersed flow. Utilizing time-of-flight measurement information, a modified parameter to account for fluctuations in the ultrasonic propagation path were proposed. This allowed to enhance the testing model for mixed sound velocity in oil-water dispersed flow and further optimize the gas fraction testing model. Simulation results showed that the mean relative error (MRE) and root mean square error (RMSE) for gas fraction prediction in water-based dispersed stratified flow were 0.43% and 0.23% respectively, while the MRE and RMSE for oil fraction prediction were 3.30% and 0.28% respectively. These results confirm the efficacy and precision of the proposed optimized testing model for phase fraction based on mixed sound velocity, thereby providing a theoretical foundation for ultrasonic testing methods in oil-gas-water multiphase flow.

Key words: dispersion, phase fraction, model, optimization, pulse-echo method

中图分类号:

TE81

苏茜, 邓翔天, 刘振兴. 油气水三相流相含率超声测试模型优化[J]. 化工进展, 2024, 43(2): 791-799.

SU Qian, DENG Xiangtian, LIU Zhenxing. Model optimization of phase fraction in oil-gas-water three-phase flow using ultrasonic testing technique[J]. Chemical Industry and Engineering Progress, 2024, 43(2): 791-799.

图/表 9

图1 脉冲回波法测试原理

图2 不同水相表观速度下气液界面高度、含油率和粒径变化（气相和油相表观速度分别为7m/s和0.04m/s）

图3 仿真物理模型及其有限元网格划分

表1 多相流相关参数（温度293.15/K）

相	密度ρ/kg·m^-3	声速c/m·s^-1	剪切黏度μ_s/Pa·s	黏度比μ_v/μ_s	定压比热容c_p /J·kg^-1·K^-1	比热容比c_p /c_v	热导率κ/W·m^-1·K^-1
水（w）	998.2	1481.45	1.009×10^-3	2.79	4186.92	1.0065	0.594
变压器油（o）	879	1420	2.0771×10^-2	1.0987	1711.47	1.1858	0.1107
空气（g）	1.204	343.2	1.81397×10^-5	0.6	1005.42	1.3996	0.0258

图4 激励信号的时域及频域（np = 5）

图5 超声衰减系数随含油率变化情况

图6 声程波动参数随含油率变化情况

图7 含气率预测效果对比

图8 含油率预测效果

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油气水三相流相含率超声测试模型优化

Model optimization of phase fraction in oil-gas-water three-phase flow using ultrasonic testing technique

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