Novel mathematical correlation for accurate prediction of gas compressibility factor

Gas compressibility factor is a critical thermodynamic property that is a required input in the estimation of many reservoir fluid properties and reservoir engineering calculations. Experimentally derived values are considered the best, but these are very expensive and time-consuming. In this work,...

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Main Authors: Gerald Kelechi Ekechukwu, Oyinkepreye David Orodu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-12-01
Series:Natural Gas Industry B
Online Access:http://www.sciencedirect.com/science/article/pii/S2352854019301172
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author Gerald Kelechi Ekechukwu
Oyinkepreye David Orodu
author_facet Gerald Kelechi Ekechukwu
Oyinkepreye David Orodu
author_sort Gerald Kelechi Ekechukwu
collection DOAJ
description Gas compressibility factor is a critical thermodynamic property that is a required input in the estimation of many reservoir fluid properties and reservoir engineering calculations. Experimentally derived values are considered the best, but these are very expensive and time-consuming. In this work, we have developed a new simplified explicit compressibility factor correlation based on a large dataset using a hybrid nonlinear optimization technique. The new model has a correlation coefficient of 0.9997 and very low average relative error and root-mean-square errors. Statistical analysis shows that this new correlation outperforms all of the existing correlations within the range of 0.2 < Ppr <15 and 1.05 < Tpr < 2). Keywords: Compressibility factor, Empirical model, Explicit correlation, Pseudo-critical properties
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spelling doaj.art-ef02806bdfe746ba9f3c88a70c2956b72024-03-02T17:13:58ZengKeAi Communications Co., Ltd.Natural Gas Industry B2352-85402019-12-0166629638Novel mathematical correlation for accurate prediction of gas compressibility factorGerald Kelechi Ekechukwu0Oyinkepreye David Orodu1Department of Petroleum Engineering, University of Wyoming, 82072, United States; Corresponding author.Department of Petroleum Engineering, Covenant University, Ota, Ogun State, NigeriaGas compressibility factor is a critical thermodynamic property that is a required input in the estimation of many reservoir fluid properties and reservoir engineering calculations. Experimentally derived values are considered the best, but these are very expensive and time-consuming. In this work, we have developed a new simplified explicit compressibility factor correlation based on a large dataset using a hybrid nonlinear optimization technique. The new model has a correlation coefficient of 0.9997 and very low average relative error and root-mean-square errors. Statistical analysis shows that this new correlation outperforms all of the existing correlations within the range of 0.2 < Ppr <15 and 1.05 < Tpr < 2). Keywords: Compressibility factor, Empirical model, Explicit correlation, Pseudo-critical propertieshttp://www.sciencedirect.com/science/article/pii/S2352854019301172
spellingShingle Gerald Kelechi Ekechukwu
Oyinkepreye David Orodu
Novel mathematical correlation for accurate prediction of gas compressibility factor
Natural Gas Industry B
title Novel mathematical correlation for accurate prediction of gas compressibility factor
title_full Novel mathematical correlation for accurate prediction of gas compressibility factor
title_fullStr Novel mathematical correlation for accurate prediction of gas compressibility factor
title_full_unstemmed Novel mathematical correlation for accurate prediction of gas compressibility factor
title_short Novel mathematical correlation for accurate prediction of gas compressibility factor
title_sort novel mathematical correlation for accurate prediction of gas compressibility factor
url http://www.sciencedirect.com/science/article/pii/S2352854019301172
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