Ana Paula Gomes

New Generation of AI Techniques Applied to Third Party Interference and Leakage Detection on Pipelines

New Generation of AI Techniques Applied to Third Party Interference and Leakage Detection on Pipelines
New Generation of AI Techniques Applied to Third Party Interference and Leakage Detection on Pipelines
This paper presents a pipeline monitoring system designed to detect, locate, and classify leakages and Third-Party Interference (TPI) incidents along a pipeline right-of-way using Vibroacoustic Technology. The system is ideal for retrofitting existing pipelines and focuses on real-time asset monitoring to detect activities such as excavation or...

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...