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The available data of thermal conductivity at different temperatures are used to develop a method to predict the thermal conductivity of hydrocarbons. The proposed correlation based on heat capacity at 25°C, molecular weight, acentric factor, critical compressibility factor, critical volume, and temperature. The proposed new correlation shows significantly better correlation with average absolute error 4.8%.

A new equation to predict critical volume for hydrocarbon compounds has been developed. The proposed new equation is based on molecular weight and boiling temperature, and it shows a significantly better correlation with the average absolute deviation (AAD) of 0.3% and 4.8% for two groups of hydrocarbon.

A new technique for predicting saturated liquid densities of alkanes at 25°C as a function of reduced temperature, acentric factor, critical volume, and molecular weight has been suggested. This new model shows good results in data fitness with an average absolute error (AAE) of 2.6% for 27 data point.

A generalized liquid molar volume at the normal boiling point correlation has been developed. The correlation is based on experimental molar volume data. The characterization properties for estimation are critical volume, boiling point, critical temperature, and acentric factor. Detailed analysis shows that the proposed correlation fits the data from 28 experimental measurements of liquid molar volume, with an overall absolute error of 2.1%.