关键词: 人工免疫算法, 模式识别, 时序数据, 测井曲线, 沉积微相

Abstract: In order to recognize sedimentary microfacies automatically by well-logging curves，by means of coding the tendency of well-logging curves and implementing the operators such as clone immunity and aberrance，the clustering well-logging curves is presented by variant feature vectors，and then recognition model of sedimentary macrofacies with the well-logging curves is constructed by the basis on Artificial Immune System（AIS）.The recognition model is applied to recognizing 150 sedimentary microfacies of ShengLi oil field，and the accuracy of recognition is up to 95%，which proves the recognition model based on AIS is very efficient in recognition of sedimentary microfacies.

Key words: artificial immune algorithm, pattern recognition, time-series data, well-logging curve, sedimentary microfacies