Surface-consistent Matching Filters for Time-lapse Processing - Application to the Violet Grove Data Set

A new algorithm for processing time-lapse seismic data is applied to the Violet Grove pilot data in central Alberta. Detecting time-lapse difference on this data has proved to be difficult due to the small impedance contrast at the Cardium reservoir where CO2 is injected and the low injection volume. However, we consider this data to examine the surface-consistent matching filters algorithm in order to minimize differences observed above the reservoir interval. These matching filters compensate for differences in amplitude, time, and phase at prestack level. After applying the surface-consistent matching filters to the monitor survey, we reduce most of the mismatch caused by acquisition differences and near surface variations. Differences caused by nonrepeatable noise in the data are difficult to remove since they are often nonstationary. The shallow window above the reservoir is dominated by the near-surface noise. Despite this issue, we notice an improvement in the prestack and the poststack difference image after applying the surface-consistent matching filters.