With the rapid development of Internet information construction, more and more IT systems are widely used. Due to the huge amount and complexity of oilfield applications, how to quickly evaluate the operation and safety status of various systems has become an important issue in oilfield. When using the business system, some access information was recorded in the form of logs at the same time. By analyzing the log data, the user's access preferences can be excavated and the potential network security problems of the business system can be found, thus providing a decision basis for the evaluation of oil field applications. However, with the rapid increase of business access, the amount and storage capacity of logs also increase. Relying on single computer environment, analyzing massive log data has been unable to meet the needs of applications. In view of this problem, this study proposes a log behavior analysis method based on Spark calculation framework and designs a service platform for visual management based on Web.