Nowadays, a strong raise in investments is occurring in the natural gas segment in Brazil. The natural gas application for energy generation is very attractive due to many reasons, like the offering diversity and the cleaner burning in comparison with other fossil combustibles. There is an increasing interest in projects, ideas and alternative options for the improvement of the performance and reducing the pollutants discharges of industrial combustion equipments to the environment. The need for more efficient and less polluters processes has accelerated the search for technological development. In the present work, it was investigated the performance of a model based in the finite volume formulation including the k-e model of turbulence, the generalized finite rate model of Arrhenius and Magnussen for the chemical reactions calculations, and the discrete transfer radiation model for simulating the combustion processes in natural gas industrial flames using the commercial code Fluent (version 4.4). The main goal of the inquiry was to investigate the performance of such modeling approach in predicting NO and CO formation inside the furnace by the comparison with the experimental data. For the combustion modeling, two mechanisms were simulated. The first corresponding to an unique global reaction for the oxidation of methane (1 step), and the second corresponding to two reactions (2 steps). An evident evolution was obtained using the two steps model. Seven different cases were tested to predict the NO formation. In these cases, the main investigations were concentrated on the mechanisms -thermal NOx-, -prompt NOx- and on the PDF method for representing the interaction between chemistry and turbulence. The PDF method improved the prediction for the NO formation within the furnace. The -prompt NOx- was the dominating mechanism and therefore it is necessary a deeper investigation on the characteristics of this mechanism for better results in estimating the NO concentrations. Although the models, mechanisms and results have improved along the present research, new investigations are necessary for more accurated predictions for the NO formation.