Fast Gauss-Newton full-wavefield migration

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

Since the appearance of wave-equation migration, many have tried to push this technology to the limits of its capacity. Least-squares wave-equation migration is one of those attempts that tries to fill the gap between the migration assumptions and reality in an iterative manner. However, these iterations do not come cheap. A proven solution to limit the number of iterations is to correct the update direction in every iteration via a proper but cheap preconditioner that approximates the second-order partial derivatives, known as Hessian, of the data-error functional employed in the least-squares formulation. In this study, we will address this issue, namely the cheap computation of the Hessian inverse in the context of our one-way wave-equation-based migration method, cited as full wavefield migration. To do so, we will build and apply the Hessian inverse matrix depth by depth, reducing the Hessian matrix size considerably each time it is calculated. We prove the validity of our proposed method by two numerical examples.
Original languageEnglish
Pages2709-2713
Number of pages5
DOIs
Publication statusPublished - 2022
Event2nd International Meeting for Applied Geoscience and Energy - Houston, United States
Duration: 28 Aug 20221 Sept 2022
Conference number: 2nd

Conference

Conference2nd International Meeting for Applied Geoscience and Energy
Abbreviated titleIMAGE 2022
Country/TerritoryUnited States
CityHouston
Period28/08/221/09/22

Keywords

  • Seismic Migration
  • Inversion
  • Wave Equation
  • Wavefield inversion
  • Seismic imaging
  • Seismic inversion
  • Multiple scattering

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