A Pipeline Reliability and Integrity Management System for leak detection, localization, and prevention in long-distance pipelines

Leak detection and integrity management technologies are becoming increasingly critical in the mining industry due to the extensive use of long-distance slurry and water pipelines, their exposure to harsh environmental conditions, and the environmental consequences associated with undetected leaks. Existing solutions are often reactive, or limited to single leak detection techniques, lacking an integrated framework that combines physical modeling, real-time monitoring, and decision support. This work presents a Pipeline Reliability and Integrity Management System (PRIMS), an innovative integrated system for leak detection, prevention, and localization tasks, tailored to the mining sector. The system employs a multi-layer architecture, including the virtual representation of the pipeline, real-time monitoring of hydraulic and operational conditions, and auser interface for operational recommendations and support. The system implementation is supported by state-of-the-art physics-based methods for pipeline integrity, such as the Extended Real-Time Transient Model (E-RTTM), Mass Balance, and Negative Pressure Wave models, which enable the system for leak detection and localization purposes, supporting operational recommendations. The PRIMS has been tested on a case study in the mining industry, where this article explores how this system enhances operational safety, reduces environmental risks, and aligns with international standards and regulations, demonstrating significant technological progress in pipeline management, enabling safe and efficient operation of pipelines.

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Publication Details

Journal
Journal of Pipeline Science and Engineering
Published
2026-09-01
DOI
https://doi.org/10.1016/j.jpse.2026.100592
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
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article

A Pipeline Reliability and Integrity Management System for leak detection, localization, and prevention in long-distance pipelines

Leonardo Miqueles, Pablo Viveros, Giovanni Lobos, Rodrigo Gracia et al.
Journal of Pipeline Science and Engineering
Water Systems and Optimization
article

A Pipeline Reliability and Integrity Management System for leak detection, localization, and prevention in long-distance pipelines

Leonardo Miqueles, Pablo Viveros, Giovanni Lobos, Rodrigo Gracia, Simón Gómez
article en

Abstract

Leak detection and integrity management technologies are becoming increasingly critical in the mining industry due to the extensive use of long-distance slurry and water pipelines, their exposure to harsh environmental conditions, and the environmental consequences associated with undetected leaks. Existing solutions are often reactive, or limited to single leak detection techniques, lacking an integrated framework that combines physical modeling, real-time monitoring, and decision support. This work presents a Pipeline Reliability and Integrity Management System (PRIMS), an innovative integrated system for leak detection, prevention, and localization tasks, tailored to the mining sector. The system employs a multi-layer architecture, including the virtual representation of the pipeline, real-time monitoring of hydraulic and operational conditions, and auser interface for operational recommendations and support. The system implementation is supported by state-of-the-art physics-based methods for pipeline integrity, such as the Extended Real-Time Transient Model (E-RTTM), Mass Balance, and Negative Pressure Wave models, which enable the system for leak detection and localization purposes, supporting operational recommendations. The PRIMS has been tested on a case study in the mining industry, where this article explores how this system enhances operational safety, reduces environmental risks, and aligns with international standards and regulations, demonstrating significant technological progress in pipeline management, enabling safe and efficient operation of pipelines.

Journal of Pipeline Science and Engineering
Universidad de Santiago de Chile (CL), Federico Santa María Technical University (CL)
Openalex Percentile: Top 16%
Water Systems and Optimization
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