Reduced-Order Model of Coal Seam Gas Extraction Pressure Distribution Based on Deep Neural Networks and Convolutional Autoencoders

Reduced-Order Model of Coal Seam Gas Extraction Pressure Distribution Based on Deep Neural Networks and Convolutional Autoencoders

There has been extensive research on the partial differential equations governing the theory of gas flow in coal mines. However, the traditional Proper Orthogonal Decomposition–Radial Basis Function (POD-RBF) reduced-order algorithm requires significant computational resources and is inefficient whe...

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Bibliographic Details
Main Authors: Tianxuan Hao, Lizhen Zhao, Yang Du, Yiju Tang, Fan Li, Zehua Wang, Xu Li
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Information
Subjects:
coal mine
gas extraction
gas flow model
reduced-order model
deep neural networks
convolutional autoencoders
Online Access:https://www.mdpi.com/2078-2489/15/11/733
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