Abstarct: The impact of various factors on the process of drilling operations in the oil and gas industry has been identified. Among these factors, the role of two general categories, geomechanical properties and operational parameters in the drilling studies are considered and very essential. The geomechanical section is defined in relation to the mechanical and environmental properties of rocks and another part affected by the application of drilling equipment. Detecting the relationship between geomechanical and drilling factors can play a vital role in improving drilling performance and reducing associated costs. In this research, using intelligent and statistical methods, two wells in Maroon oil field in southwest of Iran have been investigated. In this way, first, one-dimensional geomechanical models of the wells in two reservoirs Asmari and Sarvak has been made. Then baxsed on synchronization of data obtained from the geomechanical model and the drilling information, two algorithmic methods were used. The K2 algorithm method by Bayesian networks show direct and indirect relationships between the geomechanical parameters and each of the drilling factors with graphs. Also, training Artificial Neural Networks (ANN) with Multi-laxyer Perceptron (MLP) method was used for modeling of drilling factors and its results are shown as analytical charts of the effect of geomechanical properties. The K2 results show a direct relationship between the Unconfined Compressive Strength (UCS) on the drilling Rate of Penetration (ROP) and the internal friction angle on the torque and Weight on Bit (WOB). The MLP results show, for example, in Asmari and Sarvak, respectively, the internal friction angle and UCS are the most effective on Revolutions per Minute (RPM) drilling bit. In another part of the study, geomechanical features in each well zones are investigated along with the drilling parameters and the results are presented in the form of comparative diagrams for Geomechanical Units (GMUs). The analyzes exposed the relationship between the inappropriate application of drilling parameters such as WOB and torque with respect to geomechanical parameters. Using proper or improper geomechanical parameters represent in ROP and with these results, proposed new tables for reservoir zones.