Print Email Facebook Twitter Iterative reflectivity-constrained velocity estimation for seismic imaging Title Iterative reflectivity-constrained velocity estimation for seismic imaging Author Masaya, S. (TU Delft ImPhys/Acoustical Wavefield Imaging) Eric Verschuur, D. J. Date 2018 Abstract 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. Subject Image processingInverse theorySeismic tomographyWaveform inversion To reference this document use: http://resolver.tudelft.nl/uuid:c5354471-debc-4843-ad59-bf5370ec69c9 DOI https://doi.org/10.1093/gji/ggy105 ISSN 0956-540X Source Geophysical Journal International, 214 (1), 1-13 Part of collection Institutional Repository Document type journal article Rights © 2018 S. Masaya, D. J. Eric Verschuur Files PDF 170275.full.pdf 3.54 MB Close viewer /islandora/object/uuid:c5354471-debc-4843-ad59-bf5370ec69c9/datastream/OBJ/view