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

25 October 2017

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

20 / 20 papers shown

Title
Conditional Deep Generative Models for Belief State Planning Antoine Bigeard Anthony Corso Mykel J. Kochenderfer AI4CE 27 0 0 16 May 2025
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies Arnaud Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 75 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 27 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 25 9 0 05 Mar 2022
Deep Learning for Simultaneous Inference of Hydraulic and Transport Properties Zitong Zhou N. Zabaras D. Tartakovsky 26 16 0 24 Oct 2021
Seismic Inverse Modeling Method based on Generative Adversarial Network Pengfei Xie Yanshu Yin Jiagen Hou Mei Chen Lixin Wang GAN 38 1 0 08 Jun 2021
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example Nanzhe Wang Haibin Chang Dongxiao Zhang AI4CE 25 57 0 28 Jul 2020
3D CNN-PCA: A Deep-Learning-Based Parameterization for Complex Geomodels Yimin Liu L. Durlofsky AI4CE 24 60 0 16 Jul 2020
Objective-Sensitive Principal Component Analysis for High-Dimensional Inverse Problems M. Elizarev A. Mukhin A. Khlyupin 21 3 0 02 Jun 2020
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching S. A. Canchumuni J. D. B. Castro Júlia Potratz A. Emerick M. Pacheco 22 47 0 08 May 2020
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization Su Jiang L. Durlofsky 27 18 0 30 Apr 2020
Multiphase flow prediction with deep neural networks Gege Wen Meng Tang S. Benson 27 6 0 21 Oct 2019
Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities S. Mo N. Zabaras Xiaoqing Shi Jichun Wu 19 43 0 26 Jun 2019
Dilated Spatial Generative Adversarial Networks for Ergodic Image Generation Cyprien Ruffino Romain Hérault E. Laloy Gilles Gasso GAN 9 1 0 15 May 2019
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification S. Mo N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 20 197 0 22 Dec 2018
Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother S. A. Canchumuni A. Emerick M. Pacheco OOD AI4CE 30 109 0 17 Dec 2018
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models Yimin Liu Wenyue Sun L. Durlofsky 17 80 0 07 Jul 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 19 272 0 02 Jul 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 38 682 0 06 Dec 2017
MCMC using Hamiltonian dynamics Radford M. Neal 192 3,268 0 09 Jun 2012