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Time-Lapse data registration

sshift5 sscale5 interleave0 interleave1 res1 res2
sshift5,sscale5,interleave0,interleave1,res1,res2
Figure 2.
Image registration applied to time-lapse data from Cranfield CO$_2$ sequestration experiment. Slices of the (a) shift cube (b) scale cube, (c-d) the base image interleaved with the (c) monitor image and (d) shifted and scaled monitor image, (e) time-lapse difference, and (f) registered difference.
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We then apply amplitude-adjusted plane-wave destruction to time-lapse field data from the Cranfield CO$_2$ sequestration experiment (Zhang et al., 2014,2013). This dataset consists of a base and monitor image.

Plane-wave destruction is particularly effective for measuring very small shifts. Furthermore, rescaling the monitor image to match the amplitude of the base images allows local shifts to be measured even more precisely. Upon applying the algorithm, high resolution shifting (Figure 2a) and scaling (Figure 2b) functions are computed and applied to the previously shifted image to improve the match between the base and monitor image.

To display the results, we interleave a slice of the base cube with slices of the unaltered monitor cube (Figure 2c) and the shifted and scaled monitor cube (Figure 2d) and see that reflections become aligned effectively after applying the proposed algorithm, indicating that the shifting and scaling functions have been properly predicted.

We finally compute the time-lapse difference (Figure 2e) and the registered difference (Figure 2f). Coherent signal can be interpreted throughout the time-lapse difference due to the time shift between the images. Upon registering the images, the difference outside of the reservoir interval reduces to noise. The signal between 2.2 and 2.3 s corresponds to the reservoir where CO$_2$ injection took place between the surveys.


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Next: Discussion and Conclusions Up: Phillips & Fomel: Amplitude-adjusted Previous: Synthetic example

2022-08-08