Abstarct: Using geophysical methods and measurement of physical properties of subsurface rocks are suitable solution for exploration of underground reserves (oil, gas, water, minerals …). Gravity and magnetic survey (potential field methods) are applied geophysical methods for primary exploration, because of simplicity and low cost. There are several methods for automatic interpretation of potential field data. In this study, has been gravity Method for detecting kalate khij Fault in north east of Shahrood. After the gravity data survey from kalate khij area was performed required corrections, such as drift correction, latitude correction, free air correction, and topography correction and then determined the relative gravity anomaly. After a few corrections made on the observed data, the bouger anomaly map of the area were prepared. As the measured gravity data are due to the regional and local subsurface structures, it is essential that some methods be used to reduce the effects of the regional anomaly caused in large part by the variations of baxsement. To achieve this goal, some methods are available which upward continuation, first vertical derivative and trend surface filtering techniques are used in this research. In this study, local phase filters used to detection gravity anomaly boundaries and results will compare with other filters such as analytic signal, total horizontal derivative. First, filters apply to synthetic models. Using these filters for gravity data of synthetic models shows that total horizontal derivative filter and theta map has the best results. Finally these filters apply to gravity data of kalate khij fault as a case study. Here, similar to synthetic data total horizontal derivative filter and theta map has better results than other filters and highlights kalate khij fault. Once the boundaries are delineated using this two filters, the Euler deconvolution is applied to the data to estimate the depths of such boundaries. Finally for estimating the dip of fault planes a two dimensional inverse modeling has been done on the gravity data by using software Modelvison Pro.