Enhancing Sensitivity-Accuracy in Leak Detection Systems: A Comprehensive Study Applied to Section 1 of the North-Peruvian Oil Pipeline (NPOP) (#694)
Read ArticleDate of Conference
July 16-18, 2025
Published In
"Engineering, Artificial Intelligence, and Sustainable Technologies in service of society"
Location of Conference
Mexico
Authors
Contreras Panibra, Abelardo
Castillo Villodas, Hitlser Marco
Huamán Romero, Jesús
Abstract
This study evaluates the effectiveness of the Real-Time Transient Model (RTTM) for leak detection in Section I of the Norperuvian Pipeline (ONP). Through advanced hydraulic simulations, critical operational scenarios, such as sudden flow variations, high-density batch transitions, and small leaks, were analyzed to identify characteristic patterns and optimize system configuration. The results indicate that the RTTM can detect leaks as small as 0.125 inches within 30 minutes using 6-minute time steps; however, 60-minute time steps provide greater stability in transient scenarios with extended response times. This analysis also assessed the influence of dynamic configurations aimed at enhancing system sensitivity, improving performance under more complex operational conditions. The study highlights the importance of volume balance (VB) as a useful tool for improving the sensitivity of such monitoring systems, adding value to the design of methodologies that can be replicated and/or applied to other transportation systems, ultimately contributing to the minimization of environmental and operational risks in critical infrastructure.