Prior Knowledge Informed Neural Network for Subsurface Flow Prediction-Reference-Cited by-同舟云学术

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Prior Knowledge Informed Neural Network for Subsurface Flow Prediction

Published:2024-06-18 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE)
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Author:

Cheng Haibo¹,Li Shichao¹,Zeng Peng¹

Affiliation:

1. Shenyang Institute of Automation, Chinese Academy of Sciences,State Key Laboratory of Robotics,Shenyang,China

Funder

National Natural Science Foundation of China

State Key Laboratory of Robotics

Natural Science Foundation of Liaoning Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10595551/10595675/10595708.pdf?arnumber=10595708

Reference11 articles.

1. Considering Shear Dilution and Threshold Pressure Gradient Heavy Oil Reservoir Nonlinear Numerical Simulation and Residual Oil Characterization

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

3. Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

4. Application of artificial neural networks in a history matching process

5. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

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