Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Raphael Sternfels"'
Autor:
Raphael Sternfels, Nicolas Deladerriere, Frederique Bertin, T. Bardainne, David Le Meur, Florian Duret, K. Garceran
Publikováno v:
The Leading Edge. 35:946-951
We propose an innovative workflow based on the complementary use of Rayleigh waves alongside standard P-wave refraction tomography, which better depicts the shallow part of the near-surface P-wave velocity model. Our surface-wave processing sequence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::080839599df35657c5d1eea6f5581e56
https://doi.org/10.1190/tle35110946.1
https://doi.org/10.1190/tle35110946.1
Publikováno v:
GEOPHYSICS. 80:WD129-WD141
We have developed an efficient convex optimization strategy enabling the simultaneous attenuation of random and erratic noise with interpolation in prestack seismic data. For a particular analysis window, frequency slice spatial data were reorganized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bedf5f05097db09a584a2d488c6d3fc
https://doi.org/10.1190/geo2015-0066.1
https://doi.org/10.1190/geo2015-0066.1
Publikováno v:
Proceedings.
We propose a laterally constrained surface wave inversion to obtain a reliable near-surface shear-wave velocity field from Rayleigh wave measurements. This workflow is targeted at dense 3D broadband wide-azimuth land surveys, aiming to obtain reliabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84222744a12690954dc67277def148dd
https://doi.org/10.3997/2214-4609.201700957
https://doi.org/10.3997/2214-4609.201700957
Irregular Spatial Sampling and Rank-reduction - Interpolation by Joint Low-rank and Sparse Inversion
Publikováno v:
78th EAGE Conference and Exhibition 2016.
Summary Until now noise attenuation and interpolation processes based on rank reduction needed spatially regular, or at least binned, data. Joint low-rank and sparse inversion (JLRSI) has been recently proposed as a convex optimization framework for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d53e0bf4e943b79dc6ba2292c7d63e36
https://doi.org/10.3997/2214-4609.201601236
https://doi.org/10.3997/2214-4609.201601236
Publikováno v:
International Journal for Multiscale Computational Engineering. 9:425-443
The present paper discusses a sampling framework that enables the optimization of complex systems characterized by high-dimensional uncertainties and design variables. We are especially concerned with problems relating to random heterogeneous materia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6763b6f51cd87ea5df4691c4f8fe8fff
https://doi.org/10.1615/intjmultcompeng.v9.i4.60
https://doi.org/10.1615/intjmultcompeng.v9.i4.60
Publikováno v:
Proceedings.
Recent developments in the field of compressed sensing enable us to take a new look on Cadzow / Singular Spectrum Analysis (SSA) filtering and its robust and interpolation derivatives. We formulate the problem of simultaneous random plus erratic nois
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7868ad9aa430a41c3f6bf597391f72ca
https://doi.org/10.3997/2214-4609.201412979
https://doi.org/10.3997/2214-4609.201412979
Publikováno v:
Inverse Problems. 29:075014
This work presents a computationally efficient probabilistic framework that enables the identification of model parameters from noisy measurements of the response. We consider transient PDE-based models, where the parameters correspond to physical pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a538edec48624a84dff1ceeb61708556
https://doi.org/10.1088/0266-5611/29/7/075014
https://doi.org/10.1088/0266-5611/29/7/075014