Petroleum Exploration and Development >
Self-similar segmentation and multifractality of post-stack seismic data
Received date: 2020-04-01
Revised date: 2020-05-28
Online published: 2020-08-28
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.
Hedayati Rad ELYAS , Hassani HOSSEIN , Shiri YOUSEF , Jamal Sheikh Zakariaee SEYED . Self-similar segmentation and multifractality of post-stack seismic data[J]. Petroleum Exploration and Development, 2020 , 47(4) : 781 -790 . DOI: 10.1016/S1876-3804(20)60093-3
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