石油科学（英文版）2026，Vol.23Issue(2)：643-655,13.DOI:10.1016/j.petsci.2025.11.022
A machine learning method for evaluating shale gas production based on the TCN-PgInformer model
A machine learning method for evaluating shale gas production based on the TCN-PgInformer model
Hao-Yu Zhang 1Wen-Sheng Wu 2Zhang-Xin Chen 3Benjieming Liu3
作者信息
- 1. State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China||Frontiers Science Center for Rare Isotopes,Lanzhou University,Lanzhou,730000,Gansu,China||School of Nuclear Science and Technology,Lanzhou University,Lanzhou,730000,Gansu,China
- 2. State Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum(Beijing),Beijing,102249,China
- 3. Eastern Institute of Technology,Ningbo,315100,Zhejiang,China||Department of Chemical and Petroleum Engineering,University of Calgary,Calgary,T2N 1N4,Canada
- 折叠
摘要
关键词
Shale production forecasting/Informer/TCN/Machine learning/Daily gas productionKey words
Shale production forecasting/Informer/TCN/Machine learning/Daily gas production引用本文复制引用
Hao-Yu Zhang,Wen-Sheng Wu,Zhang-Xin Chen,Benjieming Liu..A machine learning method for evaluating shale gas production based on the TCN-PgInformer model[J].石油科学（英文版）,2026,23(2):643-655,13.
