首页|基于回归模型的掺氢天然气压缩因子计算方法

基于回归模型的掺氢天然气压缩因子计算方法

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压缩因子回归模型结构简单、计算快捷,在常规天然气压缩因子计算中更易程序化.文中研究掺氢天然气的应用并与其他模型对比.回归模型包括三次方、幂指数等多种形式,如HY(Hall-Yarborough)、RK(Redlich-Kwong)模型等,各模型适用的压力和温度范围各不相同.采用文献391组掺氢天然气压缩因子实验数据,对比分析7种回归模型在不同掺氢比例、压力和温度范围下的计算精度,并与GERG-2008状态方程进行对比.其中压力范围为0.1-10 MPa、温度为210-350 K、掺氢摩尔分数0-100%.结果表明:RK的平均相对误差为1.36%、HY为1.46%,均小于GERG-2008(1.47%);在T>298.15 K时,HY模型的误差最小;在T<298.15 K时,RK模型的计算误差最小;在不同掺氢比例下,HY和RK的最大平均相对误差分别为2.73%和1.58%,小于GERG-2008(3.54%).相较于其他回归模型,建立的HY-RK组合回归模型更适用于掺氢天然气的压缩因子计算.
Compression factor calculation method of hydrogen-doped natural gas based on regression model
The compression factor regression model is simple in structure,fast in calculation,and easier to program than conventional natural gas compression factor calculation.Hydrogen-doped natural gas was studied compared with other models.Regression models include various forms in cubic and power exponents,such as HY(Hall-Yarborough),RK(Redlich-Kwong)model etc.Each model is applicable to different pressure and temperature ranges.Based on the experimental data of 391 hydrogen-doped natural gas compression factors in literature,the calculation accuracy of 7 regression models under different hydrogen-doped ratios,pressures and temperatures was compared and compared with GERG-2008 equation of state.The pressure range was 0.1-10 MPa,the temperature was 210-350 K,and the hydrogen mole fraction was 0-100%.The comparison results show that the average relative error of RK is 1.36%and HY is 1.46%,both of which are smaller than that of GERG-2008(1.47%).When T>298.15 K,the error of HY model is the smallest.When T<298.15 K,the calculation error of RK model is the smallest.The maximum mean relative errors of HY and RK are 2.73%and 1.58%respectively,which is smaller than that of GERG-2008(3.54%).Compared with other regression models,the HY-RK combined regression model is more suitable for the compression factor calculation of hydrogen-doped natural gas.

hydrogen-doped natural gascompression factorcombinatorial regression modelHall-YarboroughRedlich-KwongHY-RKcalculation accuracy

刘祖旺、王力、路天玥、金卫栋、王寿喜

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西安石油大学石油工程学院,陕西西安 710065

西南石油大学石油与天然气工程学院,四川 成都 610500

掺氢天然气 压缩因子 组合回归模型 Hall-Yarborough Redlich-Kwong HY-RK 计算精度

2024

化学工程
华陆工程科技有限责任公司

化学工程

CSTPCD北大核心
影响因子:0.438
ISSN:1005-9954
年,卷(期):2024.52(4)
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