A Model Embedded with Development Patterns for Oilfield Production Forecasting

Machine learning models that only use data for training and forecasting oilfield production have a sense of disconnection from the physical background, while embedding development patterns in them can enhance interpretability and even improve accuracy. In this paper, a novel multi-well production fo...

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書誌詳細

主要な著者:	Jianpeng Zang, Junting Bai, El-Sayed M. El-Alfy, Kai Zhang, Jian Wang, Sergey V. Ablameyko
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-07-01
シリーズ:	Eng
主題:	production forecasting machine learning physical information decline curve analysis particle swarm optimization algorithm
オンライン･アクセス:	https://doi.org/10.3390/eng6080172 https://www.mdpi.com/2673-4117/6/8/172
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