Research on Leakage Accident Based on Residual Network
In this paper,a neural network model of leakage warning based on residual network is proposed,and the model is designed and implemented to improve the safety and reliability of drilling engineering.Firstly,the field drilling engi-neering data is collected and its own data set is established through feature construction,and the data is preprocessed.Then through feature construction,residual network data preprocessing and feature making,the leakage accident warning model is established and trained.Finally,the residual network based leakage warning model is verified in the actual scene,and good results are obtained,which provides an important safety guarantee for the oil drilling industry.