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Journées NuTS 2024

Strasbourg, du 28 au 31 mai 2024, problèmes inverses

Journées NuTS 2024

Journées NuTS 2024

Présentation

Les problèmes inverses en Terre solide, sous l'angle numérique : deux jours de présentations, puis deux jours de travaux pratiques en Python et en Julia sur les GPU du mésocentre GLiCID, et une session posters.

Lieu

EOST, Manufacture des Tabacs, 7 rue de la Krutenau, 67000 Strasbourg.

Présentations

Intervenant Affiliation Titre Support
Y. Capdeville LPG Introduction PDF
E. Chaljub ISTerre FormaTerre in Data Terra: contribution of the Solid Earth community to the E-infrastructure of the Earth & Environment System PDF
J. Virieux ISTerre, SEISCOPE What scale-dependent models from wave-matter interaction in seismology? PDF
P. Ackerer EOST, ITES Estimation of several hundreds of hydrogeological parameters by model inversion in a reasonable computer time PDF
S. Durand LGLTPE Tomography: the art of compromise PDF
J.-P. Ampuero IRD, Géoazur Kinematic and dynamic earthquake source inversion PDF
G. Caumon GeoRessources Can we invert for geological parameters (and what does it mean)? PDF
A. Gesret École des Mines Probabilistic tomography: Estimation and propagation of uncertainties PDF
A. Rivière, L. Bodet & A. Gesret École des Mines, Sorbonne Université GW fluxes across Subsurface BOUNDaries forecasting by combined hydrogeophysics data and model -
M.-P. Doin & M. Dalaison ISTerre, IPGP Constructing time series of surface deformation using satellite imagery: noise mitigation and results -
A. Fournier IPGP Inverse problems in terrestrial magnetism PDF
R. Brossier ISTerre, SEISCOPE Mitigating non-linearities in seismic tomography by full waveform inversion -
J. Giraud GeoRessources Trans-dimensional geometrical inversion: application to undercover imaging using gravity data -
L. Le Pourhiet ISTeP, Sorbonne Université Long term tectonic modelling and data... why we do not use inversion? -

Posters

  • Lahcene Bellounis (ISTerre), Development of a new numerical tool for the inversion of potential field data in the Krafla geothermal area
  • Benoit Tauzin (LGL-TPE), A Deep Learning Neural Network for Controlling Vehicle Weight, Speed, and Lane from Telecom Dark Fiber Distributed Acoustic Sensing
  • Feyza Arzu (Géoazur), Static and Quasi-Static Inversion of Fault Slip During Laboratory Earthquakes
  • Saksham Rohilla (IPGP), Constraints on the nature of the median ridge within the Chain Transform Fault inferred from travel time tomography of downward continued MCS data
  • Cyrielle Colin et Marine Laporte (LGL-TPE), b-Bayesian: a novel approach for statistical seismology
  • Jan Premus (Géoazur), GAN prior for dynamic earthquake inversion
  • Zhu Qiwen (IPGP), Full-waveform tomography illuminates 3-D anatomy of the Tibetan Plateau
  • Giusi Ruggiero (GeoRessources), 2D downscaling inversion for structural uncertainty quantification
  • Julien Herrero (GeoRessources), Transdimensional Inversion of Post-Stack Seismic Data with a Two-Dimensional Dipping Layer Parameterization
  • Ludovic Bodet (Metis), Towards automated mechanical characterisation of railway earthwork by active and passive seismic
  • Xavier Vergeron (Géosciences Montpellier), How can gravity signals be inverted to constrain the thermal structure of a subducting plate
  • Jérémie Giraud (ECD)

Formations et tutoriels

Intervenant Affiliation Titre Support
Thomas Bodin LGLTPE Bayesian inference with Markov chain Monte Carlo sampling -
Ludovic Räss et Ivan Utkin ETH Zurich High-performance computing in geosciences and adjoint-based optimisation with Julia on GPUs -