Time-lapse timeshifts are difficult to measure from seismic data in the presense of low frequencies or thin beds causing tuning effects.
We propose to decompose time-lapse seismic images into discrete frequency components using the local time-frequency transform before estimating timeshifts.
Use of high frequency components mitigate problems associated with sidelobe interference.
We use amplitude-adjusted plane-wave destruction (APWD) filters to invert for both timeshifts and amplitude changes between the time-lapse seismic images at each frequency.
Plane-wave destruction can efficiently measure small shifts between seismic traces, making this algorithm particularly effective.
The effectiveness of the proposed workflow is confirmed using a 1D synthetic example and a field data example from the Cranfield CO
sequestration project.