A Time Series Forecasting Approach Based on Meta-Learning for Petroleum Production under Few-Shot Samples

Accurate prediction of crude petroleum production in oil fields plays a crucial role in analyzing reservoir dynamics, formulating measures to increase production, and selecting ways to improve recovery factors. Current prediction methods mainly include reservoir engineering methods, numerical simula...

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Detalhes bibliográficos

Principais autores:	Zhichao Xu, Gaoming Yu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-04-01
Colecção:	Energies
Assuntos:	meta-learning few-shot learning petroleum production forecasting time series forecasting
Acesso em linha:	https://www.mdpi.com/1996-1073/17/8/1947
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