Abstract
The drilling industry faces numerous challenges, including detecting and preventing unexpected events that can occur during the drilling process. Current methods often rely on manual analysis of well logs, which can be time-consuming and prone to human error.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Baker Hughes Company, "Time Series Foundation Models for Drilling Event Detection and Prevention", Technical Disclosure Commons, (May 29, 2025)
https://www.tdcommons.org/dpubs_series/8166
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