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1.天津大学电气自动化与信息工程学院,天津 300072
2.天津市过程检测与控制重点实验室,天津 300072
3.中海油天津化工研究设计院有限公司,天津 300131
Received:22 January 2026,
Revised:2026-04-22,
Accepted:29 April 2026,
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SUN Cenwei, XU Ying, YUAN Chao, et al. Numerical and experimental investigation on influence of static mixer on water cut measurement in oil-water two-phase flow[J/OL]. CIESC Journal, 2026.
SUN Cenwei, XU Ying, YUAN Chao, et al. Numerical and experimental investigation on influence of static mixer on water cut measurement in oil-water two-phase flow[J/OL]. CIESC Journal, 2026. DOI: 10.11949/0438-1157.20260105.
油水两相流含水率的准确测量对石油勘探开发意义重大。然而,油水流动呈现明显的非均匀性,导致传统测量方法精度受限。为此,设计开孔式SK型静态混合器P-SK,并联合微波谐振腔传感器实现含水率测量。通过CFD仿真对比4种结构,结合截面相分布与混合指数,选取6单元结构P-SK-6用于实验。结果表明,P-SK-6的双对称开孔与旋转扰动可有效削弱分层与局部聚集,改善流体均匀性,谐振腔
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幅频响应随含水率变化的单调特征更连续,分辨能力更强。有效单调频点数量平均提高约3.8倍,局部分辨率最大值提高约2.6倍。基于高斯过程回归方法建立双频点预测模型,在含水率10%~30%条件下,安装P-SK-6后绝对误差和相对误差范围分别为-0.08%~0.06%和-0.39%~0.27%(P=95%),显著优于未安装时的-3.83%~3.86%和-15.21%~25.18%。
Accurate measurement of water cut in oil-water two-phase flow is crucial for petroleum exploration and development. However
pronounced phase inhomogeneity induces fluctuations in the measured medium’s equivalent dielectric properties
compromising the stability and accuracy of conventional methods. To address this issue
the Perforated SK Static Mixer (P-SK) was designed
and a combined measurement method using P-SK and a Microwave Resonant Cavity Sensor (MRCS) was proposed to enhance measurement precision by upstream flow regulation. Four mixer configurations were evaluated by Computational Fluid Dynamics (CFD). Based on cross-sectional phase distribution and the coefficient of variation (
COV
)
the six-unit P-SK-6 was selected as the optimal device for experiments. Results show that P-SK-6
featuring dual symmetric perforations and rotational perturbation
mitigates phase stratification and local agglomeration
improving flow uniformity in the measurement section. Consequently
the transmission coefficient (
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) magnitude spectra exhibit a smoother dependence on water cut. Compared with
the case without P-SK-6
the average number of monotonic frequency points increases by ~3.8 times and the maximum local resolution improves by ~2.6 times
substantially enlarging the reliable frequency bands for calibration and modeling. Based on Gaussian Process Regression (GPR)
a dual-frequency-point prediction model was established. Under water-cut conditions of 10% to 30%
the absolute and relative error ranges after installing P-SK-6 were reduced to -0.08% to 0.06% and -0.39% to 0.27% (P=95%)
respectively
which are significantly better than those without the mixer (-3.83% to 3.86% and -15.21% to 25.18%).
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