A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems

16 August 2019

Papers citing "A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems"

9 / 59 papers shown

Title
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling Nanzhe Wang Haibin Chang Dongxiao Zhang AI4CE 39 49 0 17 Nov 2020
Transformers for Modeling Physical Systems N. Geneva N. Zabaras AI4CE 16 138 0 04 Oct 2020
A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations Hao Zhou Qingfeng Xu Nan Li AI4CE 8 18 0 30 Sep 2020
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example Nanzhe Wang Haibin Chang Dongxiao Zhang AI4CE 23 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
Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network Nanzhe Wang Haibin Chang Dongxiao Zhang 26 59 0 25 Apr 2020
Multiphase flow prediction with deep neural networks Gege Wen Meng Tang S. Benson 16 6 0 21 Oct 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 233 7,906 0 13 Jun 2015