A literature review of thirteen papers finds that masked autoencoders have not been applied to downhole metric prediction from surface drilling data despite their advantages for unlabeled time-series modeling.
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Assessing the Potential of Masked Autoencoder Foundation Models in Predicting Downhole Metrics from Surface Drilling Data
A literature review of thirteen papers finds that masked autoencoders have not been applied to downhole metric prediction from surface drilling data despite their advantages for unlabeled time-series modeling.