Hyperparameter Tuning and Feature Selection for Improving Flow Instability Detection in Offshore Oil Wells
2021 IEEE 19th International Conference on Industrial Informatics (INDIN)(2021)
Abstract
Flow instability is a class of abnormal operation in subsea oil wells. Applying machine learning models and improving detection and classification performance is decisive to reduce operational costs and downtime. In this paper we evaluate a pipeline of methods in order to increase correct classification rates. Our strategy is defined to avoid the similarity bias and approaches the binary problem i...
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Key words
Costs,Oils,Conferences,Pipelines,Machine learning,Feature extraction,Complexity theory
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