| Popis: |
Corrosion of buried oil and gas pipelines will lead to perforation, leakage and even ruptures of oil and gas pipelines, causing huge property losses. In order to reduce gas oil leakage accidents caused by pipeline corrosion, a deep learning method for predicting residual life oil and gas corroded pipeline is proposed. For this, the author simulated pipeline corrosion in the laboratory, using acoustic emission detection method to detect the corrosion state of the pipeline, and with the deep learning model, studied the corrosion rate changes of the pipeline. Finally, the corrosion rate of the pipeline was predicted to further obtain the remaining life of the pipeline. The final result proved that the method can accurately predict the remaining life of corroded pipeline. |
