Published as SEG Expanded Abstracts, 5839-5844, (2017)

Estimation of timeshifts in time-lapse seismic images using spectral decomposition

Mason Phillips$^{*1}$ and Sergey Fomel$^{1}$
$^1$The University of Texas at Austin

Abstract:

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$_2$ sequestration project.