Novel Density and Viscosity Correlations for Gases and Gas Mixtures Containing Hydrocarbon and Non-Hydrocarbon Components

摘要: Hydrocarbon gas often contains some amounts of heavier hydrocarbon and non-hydrocarbon components that contribute to its properties (i.e. viscosity density). Prediction the density values for gases is necessary in several engineering calculations such as calculation reserves, metering, compression, estimating pressure gradient wells design pipeline surface facilities. Literature correlations pure methane, ethane, propane, butane isobutene are available. However, wide-ranging accurate predicting not available mixtures associated with impurities carbon dioxide, nitrogen, helium hydrogen sulphide. This paper presents two new models containing high pentane, plus small concentrations nitrogen helium), over a wide range temperatures pressures on basis fuzzy logic approach. The model was developed using apparent molecular weight, pseudo-reduced temperature pressure. density, weight temperature. were derived from 5,350 measurements various mixtures. partitioning input space into regions, represented by individual rules, obtained through clustering. Accuracy compared literature blind tests 1,460 viscosity. results show more than correlations.