In this episode of the Pipeliners Podcast, Russel interviews Stuart Mitchell from PipeSense, discussing the innovative approach to pipeline leak detection using pressure events. 

Stuart explains the evolution of their technology, starting with the application of negative pressure waves and the challenges associated with false positives. The conversation covers the use of high sample rates, machine learning techniques like convolutional neural networks, and the integration of edge processing and cloud analysis to enhance accuracy and eliminate false positives. 

Listen to the episode now to learn more about the complexities of leak detection technology, the importance of accurate leak location, and the broader potential of leveraging data for pipeline performance analysis.

Visit PipelinePodcastNetwork.com for a full episode transcript, as well as detailed show notes with relevant links and insider term definitions.