Elastic versus acoustic inversion for marine surveys

  • Peter Mora
  • , Zedong Wu*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Full wavefield inversion (FWI) is a powerful and elegant approach for seismic imaging that is on the way to becoming the method of choice when processing exploration or global seismic data. In the case of processing marine survey data, one may be tempted to assume that acoustic FWI is sufficient given that only pressure waves exist in the water layer. In this paper, we pose the question as to whether or not in theory-at least for a hard waterbottom case-it should be possible to resolve the shear modulus or S-wave velocity in a marine setting using large offset data. We, therefore, conduct numerical experiments with idealized marine data calculated with the elastic wave equation. We study two cases, FWI of data due to a diffractor model, and FWI of data due to a fault model.We find that at least in idealized situation, elastic FWI of hard waterbottom data is capable of resolving between the two Lamé parameters λ and μ. Another numerical experiment with a soft waterbottom layer gives the same result. In contrast, acoustic FWI of the synthetic elastic data results in a single image of the first Lamé parameter λ which contains severe artefacts for diffraction data and notable artefacts for layer reflection data. Based on these results, it would appear that at least the inversions of large offset marine data should be fully elastic rather than acoustic, unless it has been demonstrated that for the specific case in question (offsets, model and water depth, practical issues such as soft sediment attenuation of shear waves or computational time), an acoustic-only inversion provides a reasonably good quality of image comparable to that of an elastic inversion. Further research with real data is required to determine the degree to which practical issues such as shear wave attenuation in soft sediments may affect this result.

Original languageEnglish
Pages (from-to)596-622
Number of pages27
JournalGeophysical Journal International
Volume214
Issue number1
DOIs
StatePublished - 1 Jul 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press on behalf of The Royal Astronomical Society.

Keywords

  • Computational seismology
  • Controlled source seismology
  • Image processing
  • Inverse theory
  • Waveform inversion

ASJC Scopus subject areas

  • Geophysics
  • Geochemistry and Petrology

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