@article{fdi:010051684,
  title = {{J}oint ray plus {B}orn least-squares migration and simulated annealing optimization for target-oriented quantitative seismic imaging},
  author = {{R}ibodetti, {A}lessandra and {O}perto, {S}. and {A}gudelo, {W}. and {C}ollot, {J}ean-{Y}ves and {V}irieux, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} seismic processing workflow based on iterative ray + {B}orn migration/inversion and target-oriented postprocessing of the migrated image is developed for fine-scale quantitative characterization of reflectors. {T}he first step of the workflow involves linear iterations of the ray + {B}orn migration/inversion. {T}he output of the first step is a true-amplitude migrated image parameterized by velocity perturbations. {I}n a second step, postprocessing of the migrated image is performed through a random search with a very-fast simulated annealing ({VFSA}) algorithm. {T}he forward problem of the global optimization is a simple convolutional model that linearly relates a vertical profile of the band-limited migrated image after depth-to-time conversion to a 1{D} velocity model composed of a stack of homogeneous layers of arbitrary velocity and thickness. {T}he aim of the postprocessing is to eliminate the limited bandwidth effects of the source from the migrated image for resolution improvement and enhanced geological interpretation of selected targets. {T}he global optimization approach allows for uncertainty analysis required by the intrinsic nonuniqueness of the velocity model output by the postprocessing. {T}he relevance of the convolutional model when applied to the output of the ray + {B}orn migrated inversion is first illustrated with a one-layer model. {T}he accuracy and the robustness of the workflow to image geologically complicated models are then illustrated with an application to the synthetic {M}armousi model. {S}ome practical issues (e. g., the source wavelet estimate and the scaling of the migrated image required by the {VFSA} optimization) are discussed with an application to a 2{D} real seismic multichannel reflection data set collected in the {G}ulf of {G}uayaquil ({E}cuador). {T}he postprocessing is applied to derive the fine-scale velocity structure of a decollement zone on top of the subduction channel. {T}he postprocessing allows for mapping structural variations along different segments of the decollement, which can be associated with changes in fluid content and porosity.},
  keywords = {},
  booktitle = {},
  journal = {{G}eophysics},
  volume = {76},
  numero = {2},
  pages = {{R}23--{R}42},
  ISSN = {0016-8033},
  year = {2011},
  DOI = {10.1190/1.3554330},
  URL = {https://www.documentation.ird.fr/hor/fdi:010051684},
}