Title: Fast Wavelet Transform and
1Fast Wavelet Transform and Seismic Attribute
Extraction October 2001
2Vertical 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.
4Lithology model of SongShen1 well
5Divided frequency attribute profile (Length)
White stripe volcanic rock Black region
sedimentary rock
6Wavelet coefficient attribute profile
(correlativity 2)
White stripe volcanic rock Black region
sedimentary rock