Sergey Fomel and Long Jin
John A. and Katherine G. Jackson School of Geosciences
The University of Texas at Austin
University Station, Box X
Austin, TX 78713-8924
We present a method for registration of time-lapse seismic images
based on the local similarity attribute. We define registration as
an automatic point-by-point alignment of time-lapse images.
Stretching and squeezing a monitor image and computing its local
similarity to the base image allows us to detect an optimal
registration even in the presence of significant velocity changes in
the overburden. A by-product of this process is an estimate of the
ratio of the interval seismic velocities in the reservoir
interval. We illustrate the proposed method and demonstrate its
effectiveness using both synthetic experiments and real data from
the Duri time-lapse experiment in Indonesia.
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