关键词: 自回归, 模式识别, 特征系数, 模糊聚类, 距离准则, 岩性变化, 地震剖面

Abstract: Assuming that each seismic trace is taken as a discretized time series and a multi-dimensional sample space with various informations, autoregression technique is used, under a condition of minimum loss of information, to find out the space characteristic factor of each sample and thus the number of dimensions is largely decreased, characteristic factors of all seismic traces in a layer are estimated,and are classified by means of multiple distance principle. On this basis, fuzzy cluster technique is used to clusterize all the parts classified in a layer, then, in-layer lateral lithological variation can be divided and classified.Theoretical model is used to verify this technique and this technique is used to process an actual seismic section, and satisfactory results are obtained.