Layering detection is an important step in petroleum engineering. Time series of post-stack seismic data and wire-line log data belong to subsurface layering. They exhibit multifractal properties with complex patterns because of the heterogeneity and different genetic properties in the earth layers. In a multifractal configuration, any piece of a series has a distinct Hurst exponent that reflects its nature and can be used for zone detection. Time series are post-stack seismic traces and wire-line log data near the well-bores. Self-similar Autoregressive Exogenous (SAE) model is a modified method which can place self-similar post-stack seismic and wire-line log segments across layers with the same lithology. The results satisfy the capability of layering identification from seismic data by SAE model.

分层检测是石油工程中的重要步骤。叠后地震数据和有线测井数据的时间序列属于地下分层。由于土层的异质性和不同的遗传特性，它们表现出具有复杂模式的多重分形特性。在多重分形配置中，系列的任何部分都具有独特的Hurst指数，该指数反映了其性质，可用于区域检测。时间序列是井眼附近的叠后地震轨迹和有线测井数据。自相似自回归外生（SAE）模型是一种改进的方法，可以在具有相同岩性的各层之间放置自相似的叠后地震和测井线段。结果满足通过SAE模型对地震数据进行分层识别的能力。