综合集成的试井解释模型和解释模型的自动识别一直是试井解释研究的热点，文中提出了一种基于句法模式识别的试井模型识别新技术，它克服了现有技术在曲线形态识别与模型诊断推理方面的困难，将模型识别的复杂过程分为特征抽取、形态跟踪、模型推断等简单过程；利用试井分析和非线性最优化技术形成了一套集成多种解释模型的高效率解释软件。 Comprehensively integrated well testing interpretation model and interpretation model of automatic identification has always been the focus of well testing interpretation. In this paper, a new technology of well testing model recognition based on syntactic pattern recognition is proposed. It overcomes the shortcomings of prior art in terms of shape recognition and Model diagnosis reasoning, the complex process of model recognition is divided into simple processes such as feature extraction, shape tracking and model inference. A well-interpreted interpretation of nonlinear models is formed by well test analysis and nonlinear optimization techniques software.