基于双槽式孔板组合和神经网络技术的凝析天然气流量计开发

CIESC Journal

• RESEARCH NOTES • 上一篇下一篇

基于双槽式孔板组合和神经网络技术的凝析天然气流量计开发

耿艳峰; 郑金吾; 石天明; 石岗

Department of Automation, China University of Petroleum, Dongying 257061, China

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-04-28 发布日期:2007-04-28
通讯作者: 耿艳峰

Wet gas meter development based on slotted orifice couple and neural network techniques

GENGYanfeng;ZHENGJinwu;SHITianming;SHIGang

Department of Automation, China University of Petroleum, Dongying 257061, China

Received:1900-01-01 Revised:1900-01-01 Online:2007-04-28 Published:2007-04-28
Contact: GENG Yanfeng

摘要/Abstract

摘要： A slotted orifice has many superiorities over a standard orifice. For single-phase flow measurement, its flow coefficient is insensitive to the upstream velocity profile. For two phase flow measurement, various characteristics of its differential pressure (DP) are stable and closely correlated with the mass flow rate of gas and liquid. The complex relationships between the signal features and the two-phase flow rate are established through the use of a back propagation (BP) neural network. Experiments were carried out in the horizontal tubes with 50mm inner di-ameter, operated with water flow rate in the range of 0.2m3•h－1 to 4m3•h－1, gas flow rate in the range of 100m3•h－1 to 1000m3•h－1, and pressure at 400kPa and 850kPa respectively, where the temperature is ambient temperature. This article includes the principle of wet gas meter development, the experimental matrix, the signal processing techniques and the achieved results. On the basis of the results it is suggested that the slotted orifice couple with a trained neural network may provide a simple but efficient solution to the wet gas meter development.

关键词: wet gas meter;two-phase flow;slotted orifice;neural network;wavelet analysis;principal component analysis

Abstract: A slotted orifice has many superiorities over a standard orifice. For single-phase flow measurement, its flow coefficient is insensitive to the upstream velocity profile. For two phase flow measurement, various characteristics of its differential pressure (DP) are stable and closely correlated with the mass flow rate of gas and liquid. The complex relationships between the signal features and the two-phase flow rate are established through the use of a back propagation (BP) neural network. Experiments were carried out in the horizontal tubes with 50mm inner di-ameter, operated with water flow rate in the range of 0.2m3•h－1 to 4m3•h－1, gas flow rate in the range of 100m3•h－1 to 1000m3•h－1, and pressure at 400kPa and 850kPa respectively, where the temperature is ambient temperature. This article includes the principle of wet gas meter development, the experimental matrix, the signal processing techniques and the achieved results. On the basis of the results it is suggested that the slotted orifice couple with a trained neural network may provide a simple but efficient solution to the wet gas meter development.

Key words: wet gas meter, two-phase flow, slotted orifice, neural network, wavelet analysis, principal component analysis

耿艳峰, 郑金吾, 石天明, 石岗. 基于双槽式孔板组合和神经网络技术的凝析天然气流量计开发[J]. CIESC Journal.

GENGYanfeng,ZHENGJinwu,SHITianming,SHIGang. Wet gas meter development based on slotted orifice couple and neural network techniques[J]. .

参考文献

1    Falcone, G., Hewitt, G.F., “Multiphase flow metering: Current trends and future developments”, In: SPE Annual Technical Conference and Exhibition, SPE International, New Orleans, SPE 71474, 1—12(2001).
2    Steward, D.G., Brown, G., Hodges, D., “Wet gas Venturi metering”, In: SPE Annual Technical Conference and Exhibition, SPE International, San Antonio, SPE 77350, 1—11(2002).
3    Morrison, G.L., Hall, K.R., Holste, J.C., “Comparison of orifice and slotted plate flow meters”, Flow Meas. In-strum., 5(2), 71—77(1994).
4    Morrison, G.L., Terracina, D., Brewer, C., “Response of a slotted orifice flow meter to an air/water mixture”, Flow Meas. Instrum., 12, 175—180(2001).
5    Geng, Y.F., Zheng, J.W., Shi, T.M., “Study on the meter-ing characteristics of slotted orifice for wet gas flow”, Flow Meas. Instrum., 17, 123—128(2006).
6    Geng, Y.F., Feng, S.C., Zheng, J.W., “Two-phase multi-pliers characteristics of slotted orifice”, J. of Chem. Ind. and Eng. (China), 57(5), 1138—1142(2006).
7    Lin, Z.H., Gas-Liquid Two-phase Flow and Boiling Heat Exchange, Xi’an Jiaotong University Press, Xi’an(2002).
8    Steven, R.N., “Wet gas metering with a horizontal mounted Venturi meter”, Flow Meas. Instrum., 12, 361—372(2001).
9    Xu, L.J., Xu, J., Dong, F., Zhang, T., “On fluctuation of the dynamic differential pressure signal of Venturi meter for wet gas metering”, Flow Meas. Instrum., 14, 211—217(2003).
10    Li, H.Q., Parameter Measurement of Two-Phase Flow and It’s Application, Zhejiang University Press, Hang-zhou (1991).
11    Agar, J., “Wet gas metering using dissimilar sensors: Theory and field trial results”, In: SPE Annual Technical Conference and Exhibition, SPE International, San An-tonio, SPE 77349, 1—6(2002).
12    Daniel, Paul, Richard, “A meter for the measurement of multiphase fluids and wet gas”, U.S. Pat., 6898586(2005).
13    Jiang, Y.M., Li, Y.X., Feng, S.C., “Characteristics of flow rate transients in gas liquid flow”, J. of Chem. Ind. and Eng. (China), 54(3), 321—326(2003).
14    Sun, B., Zhang, H.J., Cheng, L., Zhao, Y.X., “Flow re-gime identification of gas-liquid two-phase flow based on HHT”, Chin. J. Chem. Eng., 14, 24—30(2006).
15    Jin, N.D., Li, W.B., Zhao, X., Zhou, Y., “Characterization of oil/water two-phase flow patterns in vertical upward pipes based on symbolic time series analysis”, J. of Chem. Ind. and Eng. (China), 56(1), 116—120(2005).
16    Geng, Y.F., “Study on the metering technology for wet gas flow with slotted orifice couple”, Ph.D. Thesis, China Univ. of Pet., Dongying(2005)
17    Shi, G., “Research on algorithm of wet gas meter based on neural network”, Master’s Thesis, China Univ. of Pet., Dongying(2006)

基于双槽式孔板组合和神经网络技术的凝析天然气流量计开发

Wet gas meter development based on slotted orifice couple and neural network techniques

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价