Ana Paula Gomes

Toward AI Data-Driven Pipeline Monitoring Systems

Toward AI Data-Driven Pipeline Monitoring Systems
Toward AI Data-Driven Pipeline Monitoring Systems
This work focuses on the application of artificial intelligence methods to enhance pipeline monitoring systems, specifically Third-Party Interference (TPI) and leak detection. A critical aspect of pipeline monitoring revolves around determining the operational state of the pipeline. This is paramount because the processing algorithms are...

Integration of multiple Leak Detection Technologies into a single Advanced Leak Detection System

Integration of multiple Leak Detection Technologies into a single Advanced Leak Detection System
Integration of multiple Leak Detection Technologies into a single Advanced Leak Detection System
This work is centered on the integration of different Leak Detection Technologies into a single platform for a better management of Pipeline Integrity Monitoring issues. Leak detection methods covered in this paper are based on Advanced-Negative Pressure Wave, Mass-Balance, Acoustic-Noise, and other predictive techniques based on data processing...