A framework for predicting the production performance of unconventional resources using deep learning

标题
A framework for predicting the production performance of unconventional resources using deep learning
作者
关键词
Deep learning, Unconventional resources, Numerical simulation, Deep belief network, Prediction, Hyperparameter optimization
出版物
APPLIED ENERGY
Volume 295, Issue -, Pages 117016
出版商
Elsevier BV
发表日期
2021-05-14
DOI
10.1016/j.apenergy.2021.117016

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