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本文根据测井资料所包含的丰富的地层沉积学信息，运用神经网络模式识别方法，进行沉积微相的识别。该方法突破了以往用模式识别沉积微相必须预先提取曲线形态特征的作法，增强了模式识别判断沉积微相类型的实用性和解释精度。
Based on the abundant information of formation sedimentology contained in well logging data, this paper uses neural network pattern recognition method to identify sedimentary microfacies. The method breaks the previous practice of pattern recognition of sedimentary microfacies that the shape features of curves must be extracted in advance and enhances the practicability and accuracy of pattern recognition in judging sedimentary microfacies types.