Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network

Eric Laloy (1) , Romain Hérault (2, 3, 4, 5) , John Lee (6) , Diederik Jacques (1) , Niklas Linde (7)

1 Belgian Center for Nuclear Energy
2 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
3 DocApp - LITIS - Equipe Apprentissage
4 INSA Rouen Normandie - Institut national des sciences appliquées Rouen Normandie
5 NU - Normandie Université
6 UCL - Université Catholique de Louvain = Catholic University of Louvain
7 ISTE - Institut des sciences de la terre [Lausanne]

Domaines: Machine Learning [stat.ML]

Eric Laloy, Romain Hérault, John Lee, Diederik Jacques, Niklas Linde. Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network. Advances in Water Resources, 2017, 110, pp.387-405. ⟨10.1016/j.advwatres.2017.09.029⟩. ⟨hal-02094960⟩