Sistema de monitoramento baseado na internet das coisas para detecção de vazamentos em dutos de produção de petróleo em campos terrestres

Abstract

Oil pipelines are susceptible to leaks. Particularly, pipelines from onshore oil production fields have characteristics that accentuate leak problems, as they are spread over large areas and have systems interconnected by pipelines laid on the surface. Furthermore, they are mostly old systems that operate without continuously present human assistance. As a result, they are more prone to failure. This work proposes a proof of concept of a monitoring system based on the internet of things for real-time detection of leaks in pipelines in onshore oil production fields. The proposed system, based on a thermal image leak detection method, informs the operator of the operating status of the system via a web page. Leak detection system communication takes place via Zigbee network between IoT devices and a 4G mobile network. The results of the tests carried out demonstrate that a visual, automatic leak detection system based on IoT is possible and plausible with low acquisition and operation costs in onshore oil production fields, ensuring the reduction of risks and social, economic, and environmental impacts. environmental. The proposed leak detection system allows supervisors at remote stations and field workers to monitor the operating status of pipelines through computers, tablets, or smartphones, regardless of where they are located.