Well-Production Forecasting Using Machine Learning with Feature Selection and Automatic Hyperparameter Optimization

Well-Production Forecasting Using Machine Learning with Feature Selection and Automatic Hyperparameter Optimization

Well-production forecasting plays a crucial role in oil and gas development. Traditional methods, such as numerical simulations, require substantial computational effort, while empirical models tend to exhibit poor accuracy. To address these issues, machine learning, a widely adopted artificial inte...

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Bibliographic Details
Main Authors: Ruibin Zhu, Ning Li, Yongqiang Duan, Gaofeng Li, Guohua Liu, Fengjiao Qu, Changjun Long, Xin Wang, Qinzhuo Liao, Gensheng Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
machine learning
production forecast
data preprocessing
principal component analysis
AutoGluon
Online Access:https://www.mdpi.com/1996-1073/18/1/99
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