An accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions

The natural gas compressibility factor is a vital parameter in petroleum engineering calculation. Currently, the calculation models for calculating natural gas compressibility factors in engineering are not accurate and efficient enough. To solve this problem, multivariate nonlinear regression is us...

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Autores principales:	Yichen Wang, Jigen Ye, Shuhong Wu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Natural gas Empirical correlation Compressibility factor Standing–Katz chart Multivariate nonlinear regression Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/0ff840669975404ba950492220f48648
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spelling	oai:doaj.org-article:0ff840669975404ba950492220f486482021-12-04T04:34:49ZAn accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions2352-484710.1016/j.egyr.2021.11.029https://doaj.org/article/0ff840669975404ba950492220f486482022-05-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721011744https://doaj.org/toc/2352-4847The natural gas compressibility factor is a vital parameter in petroleum engineering calculation. Currently, the calculation models for calculating natural gas compressibility factors in engineering are not accurate and efficient enough. To solve this problem, multivariate nonlinear regression is used to fit the 6988 data of the Standing–Katz chart, a novel empirical formula of natural gas compressibility factors is obtained, which is suitable for the pseudo-reduced pressure range of 0.2 to 30. The mean absolute error, mean relative error and root mean square error between the fitted values and the Standing–Katz chart values are 0.01140, 0.01282 and 0.01663 respectively, hence the fitted values accord well with the chart values. The proposed correlation is verified by 270 measured data of natural gas compressibility factors under low and medium pressure conditions and 219 measured data under high pressure conditions and compared with the other five representative calculation models. The verification result shows that the mean absolute error, mean relative error and root mean square error between the calculated values and the measured values are 0.01962, 0.01626 and 0.02511 respectively, and the proposed correlation is superior to the other five methods because of its higher calculation accuracy. The new correlation is practical and accurate for predicting the natural gas compressibility factor under an extensive range of pressure conditions.Yichen WangJigen YeShuhong WuElsevierarticleNatural gasEmpirical correlationCompressibility factorStanding–Katz chartMultivariate nonlinear regressionElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 8, Iss , Pp 130-137 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Natural gas Empirical correlation Compressibility factor Standing–Katz chart Multivariate nonlinear regression Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Natural gas Empirical correlation Compressibility factor Standing–Katz chart Multivariate nonlinear regression Electrical engineering. Electronics. Nuclear engineering TK1-9971 Yichen Wang Jigen Ye Shuhong Wu An accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions
description	The natural gas compressibility factor is a vital parameter in petroleum engineering calculation. Currently, the calculation models for calculating natural gas compressibility factors in engineering are not accurate and efficient enough. To solve this problem, multivariate nonlinear regression is used to fit the 6988 data of the Standing–Katz chart, a novel empirical formula of natural gas compressibility factors is obtained, which is suitable for the pseudo-reduced pressure range of 0.2 to 30. The mean absolute error, mean relative error and root mean square error between the fitted values and the Standing–Katz chart values are 0.01140, 0.01282 and 0.01663 respectively, hence the fitted values accord well with the chart values. The proposed correlation is verified by 270 measured data of natural gas compressibility factors under low and medium pressure conditions and 219 measured data under high pressure conditions and compared with the other five representative calculation models. The verification result shows that the mean absolute error, mean relative error and root mean square error between the calculated values and the measured values are 0.01962, 0.01626 and 0.02511 respectively, and the proposed correlation is superior to the other five methods because of its higher calculation accuracy. The new correlation is practical and accurate for predicting the natural gas compressibility factor under an extensive range of pressure conditions.
format	article
author	Yichen Wang Jigen Ye Shuhong Wu
author_facet	Yichen Wang Jigen Ye Shuhong Wu
author_sort	Yichen Wang
title	An accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions
title_short	An accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions
title_full	An accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions
title_fullStr	An accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions
title_full_unstemmed	An accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions
title_sort	accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/0ff840669975404ba950492220f48648
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An accurate correlation for calculating natural gas compressibility factors under a wide range of pressure conditions

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