Target-Enclosed Least-Squares Seismic Imaging

Target-Enclosed Least-Squares Seismic Imaging

Shoja, Aydin (TU Delft Applied Geophysics and Petrophysics)
van der Neut, J.R. (TU Delft ImPhys/Verschuur group)
Wapenaar, C.P.A. (TU Delft Applied Geophysics and Petrophysics)

2023

Least-squares reverse-time migration (LSRTM) is a method that seismologists utilize to compute a high-resolution subsurface image. Nevertheless, LSRTM is a computationally demanding problem. One way to reduce the computational costs of the LSRTM is to choose a small region of interest (ROI) and compute the image of that region. However, finding representations that account for the wavefields entering the target region from the surrounding boundaries is necessary. This article confines the ROI between two boundaries above and below this region. The acoustic reciprocity theorem is employed to derive representations for the wavefields at the upper and lower boundaries of the target region. With the help of these representations, a target-enclosed LSRTM algorithm is developed to compute a high-resolution image of the ROI. Moreover, the possibility of using virtual receivers created by Marchenko redatuming is investigated.

Marchenko
Seismic imaging
Target-oriented
Wavefield inversion

http://resolver.tudelft.nl/uuid:b8fcf99b-8264-4f14-bc75-4665c14d6552

https://doi.org/10.1109/TGRS.2023.3293725

2024-01-10

1558-0644

IEEE Transactions on Geoscience and Remote Sensing, 61

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2023 Aydin Shoja, J.R. van der Neut, C.P.A. Wapenaar