Resilient IoT-based Monitoring System for Crude Oil Pipelines

Abstract

Pipeline networks dominate the oil and gas midstream sector, and although the safest means of transportation for oil and gas products, they are susceptible to failures. These failures are due to manufacturing defects, environmental effects, material degradation, or third party interference through sabotage and vandalism. Internet of Things (IoT)-based solutions are promising to address these by monitoring and predicting failures. However, some challenges remain in the deployment of industrial IoT-based solutions, as the reliability, the robustness, the maintainability, the scalability, the energy consumption, etc. This paper is therefore aimed at highlighting potential solutions for detection and mitigation of pipeline failures while addressing the robustness, the cost and scalability issues of such approach efficiently across the network infrastructure, data and service layers.

PIS: IoT & Industry 4.0 Challenges

“…However, such strategies are not entirely suitable for dense IIoT deployment. As the IIoT devices are often deployed in unstable weather-dependent (Murphy et al, 2021) or faulty environments (Ahmed et al, 2020(Ahmed et al, , 2021, relying on a single energy harvesting technique can lead to a number of other problems, such as power shortages, hardware failures, and intermittent uptime. To overcome this energy bottleneck, two or more energy harvesting techniques need to be integrated into IIoT devices for efficient power management (Sah and Amgoth, 2020), hybrid energy storage technologies for harvesting systems can be used (Altinel and Karabulut Kurt, 2019), and low-tech & green IIoT could be consider to reduce energy and temperature and CO2 emission rate in the environment (Patsavellas and Salonitis, 2019;Hu et al, 2021).…”

Self-Powering Wireless Sensor Networks in the Oil and Gas Industry

“…The operations of the oil and gas industries present a huge amount of data. In the midstream sector alone, every 150,000 miles of pipeline produces up to 10 terabytes of data [55,56]. More recent approaches to monitor pipeline networks are based on wireless sensor networks (WSN) and Internet of Things (IoT) for the three sectors of the oil and gas industry [14].…”

A Scoping Review of Pipeline Maintenance Methodologies Based on Industry 4.0

“…As seen in previous paragraphs, pipeline networks are the safest way to transport large volumes of oil, so they must be in optimal conditions. The goal of [39] is to use IoT, considering time, robustness, and scalability for detection and future mitigation of failures. The proposed model is cost-effective and efficient by considering trade-offs between density, detectability, and cost.…”