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Fuzzy Clustering of Seismic Sequences: Segmentation of Time-Frequency Representations

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1 Author(s)
Hashemi, H. ; Institute of Geophysics, University of Tehran, Tehran, IRAN

Time-frequency (TF) representations based on minimum mean cross-entropy (MMCE) solution, Bessel kernel, and generalized marginal page distribution are used as the input of clustering. It is shown that general trends of frequency changed with time are not the same for these transforms. The proposed method is based on the knowledge integration of TF transforms followed by a clustering data matrix and the derivation of fuzzy membership values. Based on the output of cluster membership values, the full bandwidth illumination (FBWI) index is defined as a tool for qualitative seismic interpretation. The method is applicable for studying the frequency behavior of reflectors in a reservoir for detecting fluid migration paths.

Published in:

Signal Processing Magazine, IEEE  (Volume:29 ,  Issue: 3 )

Date of Publication:

May 2012

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