Field data analysis and risk assessment of shallow gas hazards based on neural networks during industrial deep-water drilling

Reliability Engineering & System Safety(2022)

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摘要
•Successful risk assessment of shallow gas hazards during industrial deep-water drilling process based on neural networks.•First data-driven modeling study analyzing huge valuable full-scale unbalanced seismic data from field by SMOTE-ENN method.•Fully connected DNN model classify the shallow gas hazard smartly.
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关键词
Risk assessment,Shallow gas hazard,Industrial deep-water drilling,Field data analysis,Neural networks
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