J
Jean Virieux
Researcher at University of Grenoble
Publications - 304
Citations - 21232
Jean Virieux is an academic researcher from University of Grenoble. The author has contributed to research in topics: Frequency domain & Finite difference. The author has an hindex of 63, co-authored 300 publications receiving 18787 citations. Previous affiliations of Jean Virieux include Centre national de la recherche scientifique & Institut de Physique du Globe de Paris.
Papers
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Journal ArticleDOI
An overview of full-waveform inversion in exploration geophysics
Jean Virieux,Stéphane Operto +1 more
TL;DR: This review attempts to illuminate the state of the art of FWI by building accurate starting models with automatic procedures and/or recording low frequencies, and improving computational efficiency by data-compression techniquestomake3DelasticFWIfeasible.
Journal ArticleDOI
P-SV wave propagation in heterogeneous media: Velocity‐stress finite‐difference method
TL;DR: In this paper, a finite-difference method for modeling P-SV wave propagation in heterogeneous media is presented, which is an extension of the method I previously proposed for modeling SH-wave propagation by using velocity and stress in a discrete grid, where the stability condition and the P-wave phase velocity dispersion curve do not depend on the Poisson's ratio.
Journal ArticleDOI
SH-wave propagation in heterogeneous media; velocity-stress finite-difference method
TL;DR: In this paper, a new finite-difference (FD) method is presented for modeling SH-wave propagation in a generally heterogeneous medium, which uses both velocity and stress in a discrete grid.
Book ChapterDOI
Probabilistic Earthquake Location in 3D and Layered Models
TL;DR: A probabilistic earthquake location methodology is described and an efficient Metropolis-Gibbs, non-linear, global sampling algorithm is introduced to obtain complete, probabilistically locations for large numbers of events and for location in 3D models.
Journal ArticleDOI
Two‐dimensional nonlinear inversion of seismic waveforms: Numerical results
TL;DR: Inversion of seismic waveforms can be set up using least square methods as mentioned in this paper, and the inverse problem is then reduced to the problem of minimizing a lp;nonquadratic function in a space of many (104to106) variables.