As a typical duplex concentration area of oil and gas, the Chengdao oil field has threelayer structure composed of Neogene drape, Paleogene overlap and PreTertiary. In order to analyze attributes of seismic data and work out a method for recognizing the fault system, this paper deals with some relative attributes and two methods for identifying the fault system, i.e., coherence analysis and dip scanning. With the Kendong 30 Kendong 48 area as an example and according to the researches on the relationships between coherence analysis, seismic attribute and fault system as well as the relationships between dip scanning, interlayer attribute extraction and fault system, the authors made application analysis and indicated which attributes can better reflect the fault system. The RAVE attribute visualization was also employed to verify the chosen seismic attributes and recognition method, and the results obtained prove that the recognition methods can identify the fault system quite obviously.