Séparation paramétrique des ondes en sismique
type: Dataset
description: This study is devoted to seismic waves separation which consist of the principal seismic treatment before any physical interpretation. In the first part of this work, the non parametric separation methods (Matrix Spectral, Karhunen-Loève Transformation, Velocity filtering) are studied. The limitations of these methods induced us to develop a parametric method. This approach needs a modelisation which allows us to describe many kind of seismic waves. The parametric wave separation use the Maximum Likelihood Estimator. It is achieved by estimating different parameter (apparent slowness, amplitudes, waveforms, phases and polarisation) which characterise each wave. The different estimation methods and the performances of the parametric separation are studied in the second part. The results of this study are applied, in the last part, to the analysis of weil survey experimentation as weil as surface waves.
landing page: https://theses.hal.science/tel-00785644
keyword: dispersion
keyword: estimation-des-parametres-non-lineaires
keyword: infoeu-reposemanticsdoctoralthesis
keyword: matrice-spectrale
keyword: maximum-de-vraisemblance
keyword: maximum-likelihood
keyword: non-linear-parameter-estimation
keyword: parametric-separation
keyword: physphysphys-geo-phphysics-physicsphysics-physicsgeophysics-physicsgeo-ph
keyword: polarisation
keyword: polarization
keyword: regularisation
keyword: regularization
keyword: sdemcgenvironmental-sciencesglobal-changes
keyword: sdustugpsciences-of-the-universe-physicsearth-sciencesgeophysics-physicsgeo-ph
keyword: seismic
keyword: separation-parametrique
keyword: sismique
keyword: spectral-matrix
keyword: theses
issued: 2026-05-14T15:45:14.798123
modified: 2026-05-14T15:45:14.798129
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Séparation paramétrique des ondes en sismique
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00785644
issued: 2026-05-14T15:45:14.811633
modified: 2026-05-14T15:45:14.758152