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Physics-informed Convolutional Recurrent Surrogate Model for Reservoir
  Simulation with Well Controls

Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls

15 May 2023
Jungang Chen
Eduardo Gildin
John E. Killough
    AI4CE
ArXivPDFHTML

Papers citing "Physics-informed Convolutional Recurrent Surrogate Model for Reservoir Simulation with Well Controls"

4 / 4 papers shown
Title
Utilizing Deep Learning to Optimize Software Development Processes
Utilizing Deep Learning to Optimize Software Development Processes
Keqin Li
Armando Zhu
Peng Zhao
Jintong Song
Jiabei Liu
20
29
0
21 Apr 2024
An unsupervised latent/output physics-informed convolutional-LSTM
  network for solving partial differential equations using peridynamic
  differential operator
An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator
A. Mavi
A. Bekar
E. Haghighat
E. Madenci
54
28
0
21 Oct 2022
Physics-informed Convolutional Neural Networks for Temperature Field
  Prediction of Heat Source Layout without Labeled Data
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data
Xiaoyu Zhao
Zhiqiang Gong
Yunyang Zhang
Wen Yao
Xiaoqian Chen
OOD
AI4CE
69
89
0
26 Sep 2021
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
201
7,816
0
13 Jun 2015
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