Abstract— Fault is the main factor to control the formation and distribution of oil and gas field. It is important to find out the shape and distribution of the fault. The traditional fault interpretation method is easy to be influenced by subjective factors, the reliability and the accuracy is not high, and the work efficiency is low. Therefore, it is hoped that the interpretation of the seismic data in the construction of the potential to improve the accuracy and speed of interpretation. For a long time, people have made a lot of efforts to accurately describe the fault system, put forward and applied a lot of description methods, and successfully extracted from the 3D
seismic data of many outstanding fault information discontinuity attributes, such as slice technology, coherent body belongs to the technology, the variance of the technology, the angle of the angle of the property and edge enhancement technology, etc.. Along with the continuous improvement of the fault description method, the automatic identification of the fault becomes possible. In this paper, the following contents are discussed in detail: firstly, the characteristics of 3D seismic fault are introduced, and the performance of fault in time profile is summarized as 6 kinds, and a practical method of semi automatic fault interpretation is obtained. Secondly, several seismic fault interpretation methods and the extraction method of the fault enhancement attributes are introduced. The former includes the conventional fault interpretation analysis method and the fault slice interpretation method. At last, the automatic extraction technology of fault, the method of semi automatic fault recognition of artificial neural network and automatic extraction of the ant colony algorithm are
introduced.
Keywords— Seismic data interpretation; Fault; Automatic fault recognition technology; Seismic coherence cube technique
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