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.
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