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A novel surrogate model with deep learning for predicting spacial-temporal pressure in coalbed methane reservoirs

Yukun Dong Xiaodong Zhang Jiyuan Zhang Kuankuan Wu Shuaiwei Liu

Natural Gas Industry B2025，Vol.12Issue(2)：P.219-233,15.

Natural Gas Industry B2025，Vol.12Issue(2)：P.219-233,15.DOI:10.1016/j.ngib.2025.03.008

A novel surrogate model with deep learning for predicting spacial-temporal pressure in coalbed methane reservoirs

Yukun Dong ¹Xiaodong Zhang ¹Jiyuan Zhang ²Kuankuan Wu ²Shuaiwei Liu¹

作者信息

1. Qingdao Institute of Software,College of Computer Science and Technology,China University of Petroleum(East China),Qingdao,266580,China Shandong Key Laboratory of Intelligent Oil&Gas Industrial Software,China
2. College of Petroleum Engineering,China University of Petroleum(East China),Qingdao,266580,China
折叠

摘要

关键词

Coalbed methane/Spatial-temporal pressure prediction/Deep learning/Surrogate models/AxialAttention Vision Transformer/ConvLSTM

分类

天文与地球科学

引用本文复制引用

Yukun Dong,Xiaodong Zhang,Jiyuan Zhang,Kuankuan Wu,Shuaiwei Liu..A novel surrogate model with deep learning for predicting spacial-temporal pressure in coalbed methane reservoirs[J].Natural Gas Industry B,2025,12(2):P.219-233,15.

基金项目

the National Natural Science Foundation of China(No.52474068) （No.52474068）

the Major Collab-orative Innovation Project of Prospecting Breakthrough Stra-tegic Action in Guizhou Province(No.[2022]ZD001-003). （No.[2022]ZD001-003）

Natural Gas Industry B

ISSN：2352-8540

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