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A Critical Review of Physics-Informed Machine Learning Applications in Subsurface Energy Systems
However, machine and deep learning models lack interpretability and limited domain-specific knowledge, especially in applications such as physics and engineering.
Application of Deep Learning for Predictive Maintenance of Oilfield Equipment
This thesis explored applications of the new emerging techniques of artificial intelligence and deep learning (neural networks in particular) for predictive maintenance, diagnostics and prognostics.
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