{"title":"一种计算天然气压缩系数的改进算法","authors":"Jin-jie Huang, Ningning Huang, Chunli Yang","doi":"10.1109/IFOST.2011.6021160","DOIUrl":null,"url":null,"abstract":"It would take much time to compute the compressibility factor of natural gas with AGA8-92DC method due to the iteration algorithm. To reduce the number of iterations, several curves of relationship between the gas molar density ρm and temperature T under different values of pressure P are fit by the Least-Square method. And then, the value of the molar density ρm under the current pressure P is obtained by the linear interpolation method, which is applied to the iterative calculation. Thus, the number of iterations is decreased and the real-time performance of the algorithm is improved. The modified algorithm is tested by some real-world data sets, and the results show that the improved algorithm is of high accuracy and good reliability, which can meet the requirements of industrial processes.","PeriodicalId":20466,"journal":{"name":"Proceedings of 2011 6th International Forum on Strategic Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An improved algorithm for calculating the compressibility factor of natural gases\",\"authors\":\"Jin-jie Huang, Ningning Huang, Chunli Yang\",\"doi\":\"10.1109/IFOST.2011.6021160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It would take much time to compute the compressibility factor of natural gas with AGA8-92DC method due to the iteration algorithm. To reduce the number of iterations, several curves of relationship between the gas molar density ρm and temperature T under different values of pressure P are fit by the Least-Square method. And then, the value of the molar density ρm under the current pressure P is obtained by the linear interpolation method, which is applied to the iterative calculation. Thus, the number of iterations is decreased and the real-time performance of the algorithm is improved. The modified algorithm is tested by some real-world data sets, and the results show that the improved algorithm is of high accuracy and good reliability, which can meet the requirements of industrial processes.\",\"PeriodicalId\":20466,\"journal\":{\"name\":\"Proceedings of 2011 6th International Forum on Strategic Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2011 6th International Forum on Strategic Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IFOST.2011.6021160\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2011 6th International Forum on Strategic Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFOST.2011.6021160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved algorithm for calculating the compressibility factor of natural gases
It would take much time to compute the compressibility factor of natural gas with AGA8-92DC method due to the iteration algorithm. To reduce the number of iterations, several curves of relationship between the gas molar density ρm and temperature T under different values of pressure P are fit by the Least-Square method. And then, the value of the molar density ρm under the current pressure P is obtained by the linear interpolation method, which is applied to the iterative calculation. Thus, the number of iterations is decreased and the real-time performance of the algorithm is improved. The modified algorithm is tested by some real-world data sets, and the results show that the improved algorithm is of high accuracy and good reliability, which can meet the requirements of industrial processes.
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