Publication Date:
2019
Description:
ABSTRACT
Reverse time migration (RTM) of multiples can be used to construct subsurface structures where primaries cannot illuminate well. However, the images generated using multiples suffer from severe artifacts due to the cross‐talks created by interference among unrelated multiples. We developed a migration approach using water‐bottom‐related multiples to reduce these cross‐talk artifacts. This approach first isolates primaries from the original data and predicts water‐column primaries. The nth‐order water‐column multiples can be obtained by auto‐convolving the water‐column primaries n times, followed by convolving the nth‐order water‐column multiples with the primaries to extract the (n+1)th‐order water‐bottom‐related multiples. The approach takes the nth‐order water‐column multiples as the secondary source and regards the (n+1)th‐order water‐bottom‐related multiples as the receiver wavefield, followed by a cross‐correlation imaging condition. Numerical examples from synthetic and field datasets reveal that our approach can provide images with substantially fewer cross‐talk artifacts than conventional RTM using multiples, as well as greatly improving shallow imaging compared with RTM of primaries.
This article is protected by copyright. All rights reserved
Print ISSN:
0016-8025
Electronic ISSN:
1365-2478
Topics:
Geosciences
,
Physics
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