Nowadays, the determination of electro facies in reservoir formations is one of the common studies in describing reservoir properties. The abundant use of these facies and their ability to determine specific reservoir parameters according to the type of input data, has made this method one of the most powerful tools in reservoir studies. The application of these facies are in some cases such as the separation of reservoir segments from non-reservoirs, alternative rock groups used in reservoir models and formation matching at field level. Multi Resolution Graph-based Clustering (MRGC) has the mo st effective results in identifying electrical facies in carbonate reservoirs. In this method, other disadvantages of clustering methods such as previous knowledge about the number of clusters and early parameters have been eliminated. In this research, which is related to one of the carbonate gas reservoirs in the Persian Gulf, four electric facies have been identified by using DT, NPHI, RHOB and PEF well logs of the field.