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  4. August 2025, Vol. 252, No. 8

Editor's Notebook

Government

Features

Explore how machine learning can help pipeline operators detect and predict metal loss when inline inspection data is unavailable. By analyzing 28 pipeline parameters, researchers developed models that achieved high accuracy in classifying corrosion and predicting depth, providing a promising tool for managing difficult-to-inspect pipelines.

Projects

Pipeline & Gas Journal highlights major developments across the global midstream sector, from offshore pipeline approvals in Brazil and expansions in British Columbia to LNG growth in the U.S., Mexico, and Asia. These updates reflect the steady pace of investment in gas infrastructure to meet rising energy demand worldwide.

Tech Notes