Publication | Closed Access
A data-driven prediction model for maximum pitting corrosion depth of subsea oil pipelines using SSA-LSTM approach
63
Citations
25
References
2022
Year
Corrosion TechnologySsa-lstm ApproachSubsea SystemEngineeringReservoir CharacterizationData ScienceCorrosionMachine LearningPredictive AnalyticsData-driven Prediction ModelSubsea Oil PipelinesPetroleum Engineering
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