应用Chrastil缔合模型计算元素硫在酸性气体中的溶解度

发布时间：2018-02-03 10:24

本文关键词： 元素硫的溶解性酸性气体 Chrastil缔合模型　出处：《西安石油大学学报(自然科学版)》2017年01期 　论文类型：期刊论文

【摘要】：为了应用Chrastil缔合模型准确地计算元素硫在酸性气体中的溶解度,以现有文献中元素硫在酸性气体中的溶解度实验数据为依据,对前人采用的2种Chrastil模型系数拟合方法的Chrastil模型预测硫溶解度的效果进行了分析。结果表明:采用第一种拟合方法得到的Chrastil模型系数不能用来进行元素硫溶解度预测;而采用方法二得出的模型系数,可以预测溶解度随气体密度的变化趋势,但其预测误差偏大。为此,针对第二种拟合方法提出了一种计算Chrastil模型系数的改进拟合方法(二重变量循环法)。实例应用结果表明:在所研究的温度压力范围内,改进后的拟合方法使Chrastil缔合模型在预测精度上有较大幅度的提高,拟合的相对误差小于5%。
[Abstract]:In order to accurately calculate the solubility of elemental sulfur in acid gas by using Chrastil association model, the experimental data of solubility of elemental sulfur in acid gas were studied. The prediction effect of sulfur solubility by Chrastil model based on two Chrastil model coefficient fitting methods is analyzed. The results show that:. The Chrastil model coefficients obtained by the first fitting method can not be used to predict the solubility of elemental sulfur. The model coefficient obtained by the second method can predict the change trend of solubility with gas density, but the prediction error is on the high side. An improved fitting method for calculating the coefficients of Chrastil model (double variable cycle method) is proposed for the second fitting method. The application results show that the proposed method is within the range of temperature and pressure studied. The improved fitting method improves the prediction accuracy of Chrastil association model greatly, and the relative error of fitting is less than 5%.
【作者单位】：成都理工大学能源学院;中国石油大学(华东)石油工程学院;中国石油西南油气田分公司川西北气矿;中国石油长庆油田第四采油厂;中国石油长庆油田分公司苏里格南作业分公司;
【分类号】：TE37
【正文快照】： 关小旭,李朋,张砚,等.应用Chrastil缔合模型计算元素硫在酸性气体中的溶解度[J].西安石油大学学报(自然科学版),2017,32(1):101-106,118.GUAN Xiaoxu,LI Peng,ZHANG Yan,et al.Calculation of solubility of elemental sulfur in acid gas mixture by Chrastil's associationm

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