Deep Learning and Time-Series Analysis for the Early Detection of Lost Circulation Incidents During Drilling Operations
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9312710/09438672.pdf?arnumber=9438672
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3. Advancing Drilling Safety: Automated Anomaly Detection in Well Control Using Machine Learning Techniques;SPE Nigeria Annual International Conference and Exhibition;2024-08-05
4. Automated lost circulation severity classification and mitigation system using explainable Bayesian optimized ensemble learning algorithms;Journal of Petroleum Exploration and Production Technology;2024-07-11
5. Anomaly detection in multivariate time series of drilling data;Geoenergy Science and Engineering;2024-06
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