University Links: Home Page | Site Map
Covenant University Repository

Novel mathematical correlation for accurate prediction of gas compressibility factor

Ekechukwu, Gerald Kelechi and Orodu, O. D. (2019) Novel mathematical correlation for accurate prediction of gas compressibility factor. Natural Gas Industry. pp. 629-638.

[img] PDF
Download (2MB)


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).

Item Type: Article
Uncontrolled Keywords: Compressibility factor; Empirical model; Explicit correlation; Pseudo-critical properties
Subjects: T Technology > TP Chemical technology
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: nwokealisi
Date Deposited: 10 Nov 2022 12:58
Last Modified: 10 Nov 2022 12:58

Actions (login required)

View Item View Item