A framework for predicting the production performance of unconventional resources using deep learning
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Title
A framework for predicting the production performance of unconventional resources using deep learning
Authors
Keywords
Deep learning, Unconventional resources, Numerical simulation, Deep belief network, Prediction, Hyperparameter optimization
Journal
APPLIED ENERGY
Volume 295, Issue -, Pages 117016
Publisher
Elsevier BV
Online
2021-05-14
DOI
10.1016/j.apenergy.2021.117016
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