Natural Gas Pipeline

Natural gas pipelines are critical infrastructure for energy transport, and research focuses on improving their safety, efficiency, and environmental impact. Current efforts leverage machine learning, particularly neural networks and other algorithms like random forests and support vector machines, for tasks such as leak detection, pressure prediction, and infrastructure monitoring (including using remote sensing and drones). These advancements aim to enhance operational safety, optimize resource allocation, and reduce environmental emissions through improved modeling and predictive capabilities. The integration of machine learning with existing physical models promises more accurate and efficient pipeline management.