A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage

9 May 2021

Papers citing "A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage"

10 / 10 papers shown

Title
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems Meng Tang Yimin Liu L. Durlofsky AI4CE 51 261 0 16 Aug 2019
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models Yimin Liu Wenyue Sun L. Durlofsky 37 81 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 64 279 0 02 Jul 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 94 642 0 21 Jan 2018
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network E. Laloy Romain Hérault J. Lee D. Jacques N. Linde 59 194 0 25 Oct 2017
Training-image based geostatistical inversion using a spatial generative adversarial neural network E. Laloy Romain Hérault D. Jacques N. Linde DiffM GAN 38 284 0 16 Aug 2017
Wide Residual Networks Sergey Zagoruyko N. Komodakis 326 7,980 0 23 May 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 688 37,843 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 150,006 0 22 Dec 2014