Abstarct: Seismic image acquisition of subsurface structures is important in the hydrocarbon resource exploration. Sometimes because of the impact of seismic waves in certain geological phenomena, such as salt domes and mud volcanoes, these images are vague. One way of solving these problems, is using multiple geophysical methods together. Gravimetry method is the most common helpful methods of seismology method. In order to improve the quality and increase the accuracy of interpretation, a variety of methods are used in processing and visualization that the normalized full gradient is one of these methods. This method is known as a successful method in determining the depth and range of the gravity anomalies and in seismology method improves the quality and accuracy of the subsurface images. In this study, the normalized full gradient method is used on Gorgan seismic and gravity data. The capabilities of this method are studied in both sides on synthetic and real data by testing and comparing. The depth and location of the studied mud volcanoes was determined by the normalized full gradient with gravity data. Then with using the normalized full gradient method on seismic data, vague data of the mud volcanoes floor and deep laxyers, better clarity and quality is achieved