The study of hydrocarbon reservoirs is one of the most complex studies and researches among different sciences and the heterogeneous nature and lack of knowledge of the conditions at great depths have contributed to these complexities. Therefore, studies require comprehensive and very detailed studies of the study area and sufficient mastery of various sciences. In recent study, a hydrocarbon reservoir in south-western of Iran at the boundary of the Asmari Formation was investigated and attempts were made to estimate and evaluate saturation in the region by different inversion methods and using different attributes. To determine the saturation, four methods of multi attribute and neural network methods, including three methods probabilistic, multi-layer feed forward and radial basis function have been used. Among the mentioned methods, the multi attribute method with 87% correlation and 7% error has given the best result in the study formation area.