Wax deposition is defined as one of the major problems in oil production and transportation pipelines projects. The prediction of the deposition can lead include thermal insulation along the line, installation of launchers and receivers of pigs for cleaning the pipes, addition of deposition inhibitors, etc. Due to these major technical and financial impacts, the ability to generate accurate predictions of the deposition process is crucial in the oil industry. However, there is great divergence in the scientific community regarding the dominant mechanisms for predicting the deposition phenomenon. In the present study, the deposition phenomenon was analyzed from numerical simulations based on the heat transfer mechanism. The fluid composition properties were adopted as pre-processing step based on the composition and pressure and temperature working ranges; and inserted in the simulation through thermodynamic tables. Different configurations available in the literature were selected to evaluate the modeling. The predictions obtained with models available in the literature were analyzed, aiming to evaluate the model developed in the present study in relation to other models (purely thermodynamic, being the deposit determined considering solid saturation of 2 percent, or considering mass diffusion). The results obtained with the different models were qualitatively similar and the selection of the best model is still open, as better experimental data and better characterized fluids still need to be available.