Improving the Green's function reconstruction with a passive inverse filter
Abstract
In the past decade, Green's functions reconstruction from ambient noise has shown to be an efficient method for seismic imaging. However, the standard assumptions about the noise characteristics are rarely valid, for instance the spatial distribution is rarely isotropic. Noise directivity introduces bias in the Green's function reconstruction. To minimize this bias, a spatiotemporal inverse filter is proposed. Inspired by optimized refocusing techniques, this filter maximizes the extraction of information from the noise wafefield. In this study, an experimental active seismic data set has been used to create a directional wavefield. The results indicate that the passive inverse filter efficiently compensates for the noise wavefield directivity.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2012
- Bibcode:
- 2012AGUFM.S53F..04G
- Keywords:
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- 7200 SEISMOLOGY