Application of early arrival waveform inversion with pseudo-deconvolution misfit function by source convolution

Yu Han*, Dongliang Zhang, Yunsong Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Typical seismic inversion methods require a source wavelet estimated from the data. Inaccurate wavelet estimation may severely undermine the seismic inversion results. We propose a pseudo-deconvolution method that mitigates the requirement for accurate wavelet estimation in early arrival waveform inversion as follows. For a pair of observed and predicted data-sets, we first extract the respective source wavelets from the near-offset part of the two data-sets. Next, we convolve the former data-set with the latter wavelet, and the latter data-set with the former wavelet. The mismatch between these two is then minimized as in standard seismic inversion. Conveniently implemented in the frequency domain, this method is both fast and robust. This is verified by numerical tests on both synthetic and field data.

Original languageEnglish (US)
Pages (from-to)57-72
Number of pages16
JournalInverse Problems in Science and Engineering
Volume25
Issue number1
DOIs
StatePublished - Jan 2 2017

Keywords

  • Deconvolution
  • convolution
  • early arrival
  • source wavelet
  • waveform inversion

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Applied Mathematics

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