Abstarct: Since the process of drilling operations in the upstream oil industry has a special place and one of the most costly activities in the upstream industry; therefore, increasing the efficiency and speed of drilling is highly regarded. In addition, parameters such as the time associated with displacement, Interruption and lost time, Penetration rate and drilling specific energy as important factors in the efficiency of drilling rigs is concerned. In this study, the drilling specific energy of operating parameters, through daily operational reports collected, and calculated. The most important factors affecting the specific energy into two general categories controllable factors (operational) and uncontrolled (environmental) were grouped. Given the importance of geo-mechanical parameters in the drilling process, purpose of this study is the effect environmental parameters on the drilling specific energy variations baxsed on the data available to be checked. So after collecting available data from wells studied and performed preliminary study to identify better to change the existing data baxses, using multiple regression were used for modeling and pattern recognition. After analyzing the model, the correlation coefficient obtained for wells (1) and (2) respectively, 0.77, 0.80 and for the sum two wells 0.78 was observed. For categories and sorting geomechanical and drilling data from self-organizing map algorithms (SOM), were used. Accordingly, initially drilling specific energy data clustering with using SOM algorithms, the geo-mechanical formation parameters baxsed on this clustering, were classified. According to this clustering algorithm, formations that drilling specific energy values more than 180 (psi) in of hard and very hard rock clusters and formation with drilling specific energy values less than 180 (psi) in medium to soft rock cluster it placed. Also using ANFIS-PSO algorithm so as to estimate well geomechanical properties including Young’s Modulus, uniaxial compressive strength, cohesion coefficient and internal friction angle. Since the important part of the problems drilling in outside reservoir zones which is usually very limited data there are available. This algorithm could be well to estimate geomechanical properties from drilling special energy.