2 papers
cs.LG2026
Do Masked Autoencoders Improve Downhole Prediction? An Empirical Study on Real Well Drilling Data
Aleksander Berezowski, Hassan Hassanzadeh, Gouri Ginde
Downhole drilling telemetry presents a fundamental labeling asymmetry: surface sensor data are generated continuously at 1~Hz, while labeled downhole measurements are costly, inter…
cs.LG2026
Assessing the Potential of Masked Autoencoder Foundation Models in Predicting Downhole Metrics from Surface Drilling Data
Aleksander Berezowski, Hassan Hassanzadeh, Gouri Ginde
Oil and gas drilling operations generate extensive time-series data from surface sensors, yet accurate real-time prediction of critical downhole metrics remains challenging due to…