Prediction of initial reservoir productivity based on SAE feature optimization and Bagging ensemble learning

The initial productivity of oil reservoir is affected by many factors such as geology, engineering and development, which is a complex nonlinear time series. The traditional prediction method using a single model has low prediction accuracy and weak data adaptability. A prediction model of initial r...

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Bibliografische Detailangaben

Hauptverfasser:	Xu Zhen, Zhang Wang, Li Xingliang, Long Jun
Format:	Artigo
Sprache:	Chinês
Veröffentlicht:	National Computer System Engineering Research Institute of China 2026-03-01
Schriftenreihe:	Dianzi Jishu Yingyong
Schlagworte:	sparse autoencoder feature selection integrated learning productivity prediction support vector regression
Online-Zugang:	http://www.chinaaet.com/article/3000176753
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