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

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

25 October 2017

Romain Hérault

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

10 / 10 papers shown

Title
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies A. Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 64 0 0 10 Sep 2024
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems Yingzhi Xia Qifeng Liao Jinglai Li 19 2 0 22 Feb 2023
Bathymetry Inversion using a Deep-Learning-Based Surrogate for Shallow Water Equations Solvers Xiaofeng Liu Yalan Song Chaopeng Shen AI4CE 17 9 0 05 Mar 2022
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties Zitong Zhou N. Zabaras D. Tartakovsky 23 16 0 24 Oct 2021
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels Yimin Liu L. Durlofsky AI4CE 11 60 0 16 Jul 2020
Objective-Sensitive Principal Component Analysis for High-Dimensional Inverse Problems M. Elizarev A. Mukhin A. Khlyupin 13 3 0 02 Jun 2020
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization Su Jiang L. Durlofsky 14 18 0 30 Apr 2020
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother S. A. Canchumuni A. Emerick M. Pacheco OOD AI4CE 16 109 0 17 Dec 2018
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media S. Mo Yinhao Zhu N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 14 271 0 02 Jul 2018
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012