Iterative reflectivity-constrained velocity estimation for seismic imaging

Shogo Masaya*, D. J. Eric Verschuur

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)
    48 Downloads (Pure)


    This paper proposes a reflectivity constraint for velocity estimation to optimally solve the inverse problem for active seismic imaging. This constraint is based on the velocity model derived from the definition of reflectivity and acoustic impedance. The constraint does not require any prior information of the subsurface and large extra computational costs, like the calculation of so-called Hessian matrices. We incorporate this constraint into the joint migration inversion algorithm, which simultaneously estimates both the reflectivity and velocity model of the subsurface in an iterative process. Using so-called full wavefield modelling, the misfit between forward modelled and measured data is minimized. Numerical and field data examples are given to demonstrate the validity of our proposed algorithm in case accurate initial models and the low-frequency components of observed seismic data are absent.

    Original languageEnglish
    Pages (from-to)1-13
    Number of pages13
    JournalGeophysical Journal International
    Issue number1
    Publication statusPublished - 2018


    • Image processing
    • Inverse theory
    • Seismic tomography
    • Waveform inversion


    Dive into the research topics of 'Iterative reflectivity-constrained velocity estimation for seismic imaging'. Together they form a unique fingerprint.

    Cite this