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

John E. Killough

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

7 / 7 papers shown

Title
Multi-Step Embed to Control: A Novel Deep Learning-based Approach for Surrogate Modelling in Reservoir Simulation Jungang Chen Eduardo Gildin John E. Killough 23 0 0 16 Sep 2024
Evaluating Modern Approaches in 3D Scene Reconstruction: NeRF vs Gaussian-Based Methods Yiming Zhou Zixuan Zeng Andi Chen Xiaofan Zhou Haowei Ni Shiyao Zhang Panfeng Li Liangxi Liu Mengyao Zheng Xupeng Chen 3DGS 47 18 0 08 Aug 2024
Utilizing Deep Learning to Optimize Software Development Processes Keqin Li Armando Zhu Peng Zhao Jintong Song Jiabei Liu 35 30 0 21 Apr 2024
Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls Jungang Chen Eduardo Gildin John E. Killough OOD AI4CE 15 7 0 10 Oct 2023
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 65 28 0 21 Oct 2022
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 77 91 0 26 Sep 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,916 0 13 Jun 2015