Abstarct: Airborne geophysics is a powerful and valuable tool in identifying and studying geological structures that cover large areas with greater speed and in less time. In exploratory geophysics, using resistivity and IP methods for identification of anomalous areas, especially identification of sulfide mineralization areas are very practical. In this study, knowing that it is not possible to explore gold directly, due to the geology of the region and airborne magnetic and geoelectric methods (resistivity and IP), we identify areas with sulfide mineralization that is associated with gold mineralization. Hired mining area is located in South Khorasan province, 140m south of Birjand city. This area is located on the eastern edge of the Lut block. After Eocene intrusive masses, which has caused many alterations, are the cause of mineralization in this region. In fact, the intrusion of granitic, granodiorite and diorite intrusive masses in Eocene volcanic rocks has caused various alterations and the formation of mineralized potential areas. In this dissertation, first we investigated airborne magnetic data with Oasis montaj software. baxsed on the type of intrusion mass and geology; Magnetic anomalies of varying intensities have appeared. Anomalies with moderate magnetic field intensity due to the infiltration of granite and granodiorite intrusive masses into silicified shale and tuff have been identified as possible mineralization zone. Next, geoelectrical ground exploration of sulfide minerals with gold was performed by using a rectangle array. In this area, the resistivity and IP were collected with rectangle array with an electric current line of 800 meters, profile distance of 50 meters and station distance of 20 meters. Resulting maps of the chargeability and resistivity were drawn and finally introduced 4 region for harvesting with Dipole-dipole array. In the end, 5 profiles with Dipole-dipole array with electrode distances of 20, 40 and 60 meters and a jump of 20 meters were done.2D modeling of resistivity and IP data of Dipole-dipole array was performed using Res2dinv and Zondres2d software. Identify potential mineralization regions that correspond to regions with high chargeability and medium to low resistivity.