Episode 25: Statistical Volume Balance Model for Leak Detection with Giancarlo Milano

The Pipeliners Podcast is excited to deliver a series of episodes with Giancarlo Milano of Atmos International. In the second episode of the series on leak detection, Russel Treat and Giancarlo discuss the statistical volume balance model for leak detection. In this episode, you will learn how the SVB model uses statistics to calculate the probability of a leak in a pipeline using key factors. You will also learn about the importance of the Sequential Probability Ratio Test to deliver the calculation necessary for this model. Is this an ideal model for pipeliners? Listen to find out. In the next episode of the series, Russel and Giancarlo will discuss the difference between leak detection and rupture detection, including the role of Negative Pressure Wave technology.