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气井的产能是开发井网布署及合理配产的依据，受多种因素的影响。文中所介绍的陕甘宁盆地中部气田小层产能剖分研究，以１９口生产测井分层测试资料为基础，对影响气井小层产能的诸多因素进行了分析，同时使用常规计算法和一种新的现代计算技术—多项式自组织网络方法进行计算分析，分别建立了适用于中部气田各小层产率预测模型。通过对比证明，多项式自组织网络是一种非线性的模拟预测网络，具有计算方法先进，可操作性强，精度高的特点。
The productivity of gas wells is the basis for the deployment of well layout and reasonable allocation of production, which is affected by many factors. Based on the data of 19 production well logging stratification test data, the paper analyzes the small layer production capacity of gas field in the central part of Shaan-Gan-Ning Basin, and analyzes many factors that affect the productivity of small layer in gas well. At the same time, A new type of modern computing technology - polynomial self-organizing network method was used to calculate and analyze, and the prediction models suitable for the production of small layers in the central gas field were respectively established. By contrast, the polynomial self-organizing network is a kind of non-linear simulation prediction network, which has the characteristics of advanced calculation, strong operability and high accuracy.