Two-parameter measurement method for wet gas based on RESNET and microwave Venturi technology

XU Ying; OU Jiejun; HOU Jinlong; WU Cun'wei; JING Xuan; LIU Yilong; YUAN Chao

doi:10.11949/0438-1157.20260519

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Two-parameter measurement method for wet gas based on RESNET and microwave Venturi technology

更新时间：2026-07-15

- Two-parameter measurement method for wet gas based on RESNET and microwave Venturi technology
- CIESC Journal (2026)
- 作者机构：
  
  天津大学电气自动化与信息工程学院，天津300072
  唐山冀东石油机械有限责任公司，河北唐山063200
- 作者简介：
- 基金信息：
- DOI：10.11949/0438-1157.20260519
  CLC： O359⁺.1;TB937
- Received：14 April 2026，
  
  Revised：2026-07-07，
  
  Accepted：15 July 2026，
- 稿件说明：
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XU Ying, OU Jiejun, HOU Jinlong, et al. Two-parameter measurement method for wet gas based on RESNET and microwave Venturi technology[J/OL]. CIESC Journal, 2026.
DOI：

XU Ying, OU Jiejun, HOU Jinlong, et al. Two-parameter measurement method for wet gas based on RESNET and microwave Venturi technology[J/OL]. CIESC Journal, 2026. DOI： 10.11949/0438-1157.20260519.

摘要

构建了微波谐振腔-文丘里组合式测量系统，利用COMSOL Multiphysics进行了文丘里的动态流场仿真，通过流场和电磁场耦合，发现

模式有利于湿气含水率测量，提出一种MRCS含水率感知—Venturi虚高流量测量—深度残差网络多参数预测的湿气测量方法，将微波谐振腔12个频点的检测值、文丘里差压、压力及虚高气相流量拼接为15维输入特征，通过融合微波谐振特征与文丘里的差压规律，实现湿气双参数的精确测量。首先在0.9 MPa、1.2 MPa下开展了湿气两相流实验，采集湿气两相流数据，进一步，设计残差网络（RESNET），并引入通道注意力机制（SE-Block）为低含水样本增加权重，实现低含液率下的湿气含水率测量。结果表明，对于气相流速3m/s~20m/s，含水率为0%~4%的湿气，在95%置信概率下，LVF和气相体积流量的预测MARE分别为2.57%和1.74%，为湿气在线计量提供了一种无需放射源、精度高且易工程化的新思路。

Abstract

In this study

a wet gas measurement method is proposed by integrating a microwave water-cut sensor with a Venturi meter and a deep residual network(RESNET).The method combines microwave resonance-based water fraction sensing

Venturi over-reading gas flow extraction

and data-driven multi-parameter prediction

aiming to overcome the limitations of weak liquid-phase sensitivity and low signal-to-noise ratio under low water-cut conditions.Dynamic simulations of the Venturi flow field were conducted using COMSOL Multiphysics

and coupled flow–electromagnetic analysis identified the TM₃₁₀ mode as optimal for water fraction measurement.A microwave resonant cavity–Venturi measurement system was then developed

and experiments were performed at 0.9 MPa and 1.2 MPa.A total of 15 input features

including 12 microwave resonance responses

differential pressure

static pressure

and the over-reading gas flow rate(

)was calculated.A RESNET model with squeeze-and-excitation attention was designed to enhance sensitivity to low water-cut conditions.Results show that for gas velocities of 3–20 m/s and water volume fractions(LVF)of 0–4%

the proposed method achieves mean absolute relative errors of 2.57%for LVF and 1.74%for gas volumetric flow rate at a 95%confidence level.This study provides a high-accuracy and non-radioa

ctive solution for online wet gas metering.

关键词

Keywords

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