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Fast Wavelet Transform and

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To research lithology variety vertically, given a time window beside well trace. ... Recognize target lithology region. Lithology model of SongShen1 well ... – PowerPoint PPT presentation

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Title: Fast Wavelet Transform and


1
Fast Wavelet Transform and Seismic Attribute
Extraction October 2001
2
Vertical seismic attribute extraction and
attribute profile To research lithology
variety vertically, given a slide time window
beside well trace. Through extracting attributes
in every vertical time window, A vertical
attribute curve will be created, which stands
for attribute variety vertically. Some
selected attributes that have high-correlativity
with lithology model will be extracted for target
layer, As a result a attribute curve will be
created for the traces beside well.
Spreading these curves according of trace order
will create attribute profile, which stands for
lithology variety for target layer beside well
trace.
3
  • Main Framework
  • Create 2-D original trace data by sliding
    time window.
  • Extract wavelet coefficient seismic attribute
    by FWT.
  • Extract divided frequency seismic attribute
    by FWT.
  • Create attribute profile.
  • Recognize target lithology region.

4
Lithology model of SongShen1 well
5
Divided frequency attribute profile (Length)
White stripe volcanic rock Black region
sedimentary rock

6
Wavelet coefficient attribute profile
(correlativity 2)
White stripe volcanic rock Black region
sedimentary rock
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