Evaluating Pipeline Inspection Technologies for Enhanced Corrosion Detection in Mining Water Transport Systems

Water transport pipelines in the mining industry face significant corrosion challenges due to extreme environmental conditions, such as arid climates, temperature fluctuations, and abrasive soils. This study evaluates the effectiveness of three advanced inspection technologies—Guided Wave Ultrasonic Testing (GWUT), Metal Magnetic Memory (MMM), and In-Line Inspection (ILI)—in maintaining pipeline integrity under such conditions. A structured methodology combining diagnostic assessment, technology research, and comparative evaluation was applied, using key performance indicators like detection capability, operational impact, and feasibility. The results show that GWUT effectively identifies surface anomalies and wall thinning over long pipeline sections but faces depth and diameter limitations. MMM excels at detecting early-stage stress and corrosion in inaccessible locations, benefiting from minimal preparation and strong market availability. ILI provides comprehensive internal and external assessments but requires piggable pipelines and operational adjustments, limiting its use in certain systems. A case study of critical aqueducts of mining site water supply illustrates real-world technology selection challenges. The findings underscore the importance of an integrated inspection approach, leveraging the complementary strengths of these technologies to ensure reliable pipeline integrity management. Future research should focus on quantitative performance metrics and cost-effectiveness analyses to optimize inspection strategies for mining infrastructure.

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Publication Details

Journal
Applied Sciences
Published
2025-01-27
DOI
https://doi.org/10.3390/app15031316
Citations
7
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
4.99
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article

Evaluating Pipeline Inspection Technologies for Enhanced Corrosion Detection in Mining Water Transport Systems

Víctor Tuninetti, C. Montalba, Brahim Menacer, Ángelo Oñate et al.
7 citations
Applied Sciences
Non-Destructive Testing Techniques
4.99
article

Evaluating Pipeline Inspection Technologies for Enhanced Corrosion Detection in Mining Water Transport Systems

Víctor Tuninetti, C. Montalba, Brahim Menacer, Ángelo Oñate, A. Gómez, Matías Huentemilla
article en
7 citations

Abstract

Water transport pipelines in the mining industry face significant corrosion challenges due to extreme environmental conditions, such as arid climates, temperature fluctuations, and abrasive soils. This study evaluates the effectiveness of three advanced inspection technologies—Guided Wave Ultrasonic Testing (GWUT), Metal Magnetic Memory (MMM), and In-Line Inspection (ILI)—in maintaining pipeline integrity under such conditions. A structured methodology combining diagnostic assessment, technology research, and comparative evaluation was applied, using key performance indicators like detection capability, operational impact, and feasibility. The results show that GWUT effectively identifies surface anomalies and wall thinning over long pipeline sections but faces depth and diameter limitations. MMM excels at detecting early-stage stress and corrosion in inaccessible locations, benefiting from minimal preparation and strong market availability. ILI provides comprehensive internal and external assessments but requires piggable pipelines and operational adjustments, limiting its use in certain systems. A case study of critical aqueducts of mining site water supply illustrates real-world technology selection challenges. The findings underscore the importance of an integrated inspection approach, leveraging the complementary strengths of these technologies to ensure reliable pipeline integrity management. Future research should focus on quantitative performance metrics and cost-effectiveness analyses to optimize inspection strategies for mining infrastructure.

Applied SciencesVol. 15(3)
Universidad de La Frontera (CL), University of Talca (CL), University of Liège (BE), University of Concepción (CL), École Nationale Polytechnique d'Oran (DZ), Ecole Supérieure en Génie Electrique et Energétique d'Oran, Tecnológico de Monterrey (MX)
Openalex Percentile: Top 5%
Non-Destructive Testing Techniques
4.99
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