Identification and evaluation of the reservoir flow units is an important aspect of geological research of development mature oilfield. In this paper, take Sulige Gasfield He8 Group as an example, based on the sub-layer and detailed sediment study determined the characteristics of 10 variables to identify and rank reservoir flow units. Based on neural network algorithm of cluster analysis method to identify reservoir flow units of non-linear model. The established the neural network model can be more comprehensive consideration of various geological factors and the flow units. Using the established model, we can identify flow units for the well without boring, which can better solve the mature oilfield reservoir description abundance of information and accuracy requirements. Quarry applications indicates that in view of Chinese oil reservoir's main causes of continental origin, carry out reservoir flow units quantitative evaluation to matured oilfield have greater practical value.