Zobrazeno 1 - 10 of 62 pro vyhledávání: '"J. Messud"'
3
Building and Understanding Deep Neural Networks Components for Seismic Processing: Lessons Learned
Autor: J. Messud, M. Chambefort
Publikováno v: 82nd EAGE Annual Conference & Exhibition.
Summary Learning how to best mimic seismic processing algorithms or workflows with deep learning (DL) has become a very active field of research. However, seismic processing own particularities may necessitate adaptations of current DL methods. In th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::be9fb955debbcc15d5568cdc24f8a186
https://doi.org/10.3997/2214-4609.202011287
Zobrazit plný text záznamu
8
Understanding How a Deep Neural Network Architecture Choice Can Be Related to a Seismic Processing Task
Autor: J. Messud, M. Chambefort
Publikováno v: First EAGE Digitalization Conference and Exhibition.
Summary One of the many challenges in the way of the adoption of Deep Learning (DL) for seismic processing is the understanding of deep neural network (DNN) architecture and components with the associated underlying physics involved in a specific pro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8a7710c9e55e6cc420b34d7b7365abf7
https://doi.org/10.3997/2214-4609.202032076
Zobrazit plný text záznamu
9
Acoustic Land Full Waveform Inversion on a Broadband Land Dataset: the Impact of Optimal Transport
Autor: G. Royle, A. Sedova, J. Messud, S. Masclet, Gilles Lambaré, H. Prigent
Publikováno v: 81st EAGE Conference and Exhibition 2019.
Summary While there are very few applications of land Full Waveform Inversion (FWI) compared to marine, modern on-shore wide azimuth, dense, broadband acquisition designs offer an outstanding opportunity for FWI application. Several successful exampl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2e4aac216a02a5e42769aa9923df982c
https://doi.org/10.3997/2214-4609.201901568
Zobrazit plný text záznamu
10
Multidimensional Optimal Transport for 3D FWI: Demonstration on Field Data
Autor: J. Messud, A. Sedova
Publikováno v: 81st EAGE Conference and Exhibition 2019.
We discuss the advantages of multidimensional (in data space) optimal transport (OT) full waveform inversion (FWI). We show that a careful formulation leads to an enhanced coherency of the event continuity in the move-out direction and to an improved
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33a592eb5481548cc7b3429105c0db4f
https://doi.org/10.3997/2214-4609.201900869
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje