Case Studies

Machine Learning & Neural Network Applications for Acoustic Leak-Noise Analysis

Numerical Minds is currently undertaking a research project to develop innovative machine learning/neural network models that can detect and categorise leak-noise characteristics from acoustic logger data. The aim is to discover methods that increase the success rate of detecting leaks under conditions that are challenging for acoustic analysis. There is a specific focus on developing models that can be usefully and realistically integrated into leakage detection practices.