Nonlinear Anisotropic Diffusion Filters for FWI: Structure Preserving Smoothing and Data Low Frequency Enhancement - EDP Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Nonlinear Anisotropic Diffusion Filters for FWI: Structure Preserving Smoothing and Data Low Frequency Enhancement

Résumé

Main objectives This abstract presents how a nonlinear anisotropic diffusion filtering technique, originally designed in the field of image processing, can be used for high resolution seismic imaging by full waveform inversion. We show how the application of this technique to full waveform inversion can be done at two (potentially complementary) levels: as a structure preserving smoothing technique, in the model space, and as a low frequency enhancing filtering technique, in the data space. New aspects covered 1. Introducing nonlinear anisotropic diffusion filtering to the community of seismic imaging. 2. Showing how this can be applied as a structure preserving/enhancing smoothing technique in the model space, i.e. to the gradient in the FWI workflow, or to an estimated subsurface model, or to a seismic image obtained by migration. 3. Sowing how this can be applied as a low frequency enhancing filtering technique in the data space for FWI applications.
Fichier principal
Vignette du fichier
2022_EAGE_METIVIER_NLDS.pdf (18.75 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03852673 , version 1 (15-11-2022)

Identifiants

Citer

Ludovic Métivier, Romain Brossier. Nonlinear Anisotropic Diffusion Filters for FWI: Structure Preserving Smoothing and Data Low Frequency Enhancement. 83rd EAGE Annual Conference & Exhibition, Jun 2022, Madrid, Spain. pp.1-5, ⟨10.3997/2214-4609.202210272⟩. ⟨hal-03852673⟩
14 Consultations
11 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More