Smart Pipeline Monitoring: Leveraging Robotics for Leak Detection

Sam Goundar, Sakthivel Velusamy, Ravi Samikannu, Jueying Li, Sufyan Yakubu

Abstract


The detection and prevention of pipeline leaks are critical challenges in the oil and gas industry. Leaks can lead to severe environmental damage, financial losses, and operational disruptions. Traditional monitoring methods are often limited in their ability to detect small leaks or faults within pipelines. This paper investigates the use of robotics, combined with advanced sensing technologies, to improve pipeline leak detection. We discuss the design of smart robotic systems equipped with high-resolution cameras, acoustic sensors, and advanced algorithms for detecting anomalies in real-time. Case studies from field deployments highlight the advantages of robotic solutions over conventional methods, including increased accuracy, reduced inspection time, and enhanced safety for operators. The paper also addresses future trends in robotics for pipeline monitoring and the integration of artificial intelligence (AI) to further optimize leak detection.

Keywords


robotics, pipeline monitoring, leak detection, oil and gas.

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