Development and Verification of Pipeline System Surge Screening Tool Using Deep Learning Technology скачать в хорошем качестве

Development and Verification of Pipeline System Surge Screening Tool Using Deep Learning Technology

Surge analysis is a key consideration for pipeline design and construction. Industry insights demonstrate severe consequences in neglecting or overestimating the associated surge pressures and forces. Surge concerns often arise during the early stages of system design, but comprehensive transient modeling of all piping sections and subsystems at this stage is impractical due to the absence of detailed design information. Machine learning models can provide a guide and predict surge outcomes while reducing time required for analysis. Fluor Fellow David Cheng, Subject Matter Expert Liang Fang and protégé Phuc Do showcase a developing machine learning approach to predicting surge pressures in pipelines.