Source distribution estimation from direct Rayleigh waves in multicomponent crosscorrelations

  • Zongbo Xu
  • , T. Dylan Mikesell
  • , Gabriel Gribler

Research output: Contribution to journalConference articlepeer-review

Abstract

If seismic sources are unevenly distributed, seismic interferometry (SI) should not be used to approximate Green's functions. An uneven source distribution often leads to artifacts in (tomographic) images derived from crosscorrelations of the wavefields. However, if the source distribution is known, one can extract useful information from the SI crosscorrelations. For the case when the source distribution is not known, we present an approach to estimate spatially distributed seismic sources from inversion of seismic wavefield correlations. We applied waveform inversion to the crosscorrelations to estimate the source strengths and distribution in space. We determine that vertical- plus radial-component crosscorrelations constrain the source inversion better than only vertical-component crosscorrelations, as has been previously used.

Original languageEnglish
Pages (from-to)3090-3094
Number of pages5
JournalSEG Technical Program Expanded Abstracts
DOIs
StatePublished - 27 Aug 2018
EventSociety of Exploration Geophysicists International Exposition and 88th Annual Meeting, SEG 2018 - Anaheim, United States
Duration: 14 Oct 201819 Oct 2018

Fingerprint

Dive into the research topics of 'Source distribution estimation from direct Rayleigh waves in multicomponent crosscorrelations'. Together they form a unique fingerprint.

Cite this