Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...
Accurately predicting the residual strength of blended hydrogen natural gas pipelines containing a crack-in-dent defect is critical for ensuring their safe and stable operation. Machine learning ...
As ageing pipelines face growing risks, the energy industry is increasingly turning to AI and smart monitoring systems to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results