Wax precipitation and deposition in crude oils can produce flow assurance problems in production and transportation operations. Knowledge of the wax apperance temperature (WAT) and the amount of wax that precipitates from the curve oil at different temperatures, i.e., the wax precipitation cure (WPC), is necessary for accurate predictions of wax deposition in subsea pipelines. The theoretical study of the wax precipitation process is frequently carried out using thermodynamic models. These models require as input information the molecular weight and the n-paraffin distribution of the crude oil. The n-paraffin distribution is commonly determined by high-temperature gas chromatography (HTGC) analysis, but it has some limitations such as the low single/noise ratios, elution and resolution problems in the heavy compounds zone, and discrepancies with regard to the delineation of the baseline to integrated the chromatogram. In this work, three variables have been analyzed to improve the n-paraffin distribution obtained by HTGC: the total amount of C-20(+) paraffin, extrapolation of paraffin concentration above C-38(+), and molecular weight of crude oil. The results predicted were compared to experimental data obtained by fractional precipitation and differential scanning calorimetry, showing great influence of the n-paraffin distribution on the model accuracy.