Spherical Wave Decomposition in Prestack Seismic Data

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Autor principal: Singh, Jagmeet
Formato: Recurso digital
Publicado: Zenodo 2025
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author Singh, Jagmeet
author_facet Singh, Jagmeet
contents <p>While slant stacking or plane wave decomposition is common in seismic data processing, spherical wave decomposition (SWD) of the source wavefield has not been extensively used. We explore SWD for a point source under radial symmetry and demonstrate its application to multiple suppression using synthetic data with three primaries and their multiples. We show that SWD via a hyperbolic tau-p transform allows cleaner separation of events and compare two inversion approaches: direct hyperbolic spreading and inverse linear tau-p with r₀(tau) correction. The methodology demonstrates superior primary recovery and effective multiple attenuation.</p>
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id zenodo_https___doi_org_10_5281_zenodo_15394614
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publishDate 2025
publisher Zenodo
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spellingShingle Spherical Wave Decomposition in Prestack Seismic Data
Singh, Jagmeet
spherical wave, tau-p transform, multiple suppression, seismic migration, inversion, synthetic seismograms, prestack processing
<p>While slant stacking or plane wave decomposition is common in seismic data processing, spherical wave decomposition (SWD) of the source wavefield has not been extensively used. We explore SWD for a point source under radial symmetry and demonstrate its application to multiple suppression using synthetic data with three primaries and their multiples. We show that SWD via a hyperbolic tau-p transform allows cleaner separation of events and compare two inversion approaches: direct hyperbolic spreading and inverse linear tau-p with r₀(tau) correction. The methodology demonstrates superior primary recovery and effective multiple attenuation.</p>
title Spherical Wave Decomposition in Prestack Seismic Data
topic spherical wave, tau-p transform, multiple suppression, seismic migration, inversion, synthetic seismograms, prestack processing
url https://doi.org/10.5281/zenodo.15394614