In the past couple of years, the oil and gas industry is aiming to reduce it’s day-to-day costs due to reasons such as reduction in oil prices, mass overproduction and so on. This has the Oil and Gas industries aiming for innovative ways to reduce costs and minimize nonproductive time. In order to accomplish this goal, oil companies need to improve and control measurements with more reliable but relatively cheaper systems. One of the methods is using Internet-of-Things (IoT) based monitoring systems which can help in remote monitoring. IoT is offering better solutions for oil and gas companies to reduce potential failures and downtime by achieving a better and faster method to acquire information efficiently. A real-time stream of data can minimize the need for human intervention in the oil field in case of a catastrophe by reducing the risk of a hazard, saving time, and increasing the environmental pollution control. IoT can be a vital transformation for the Oil and Gas industry. The aim of this thesis is to validate and prove that IoT solutions can be feasible in the oil industry specifically in the pipe leak detection solution ,by building a prototype that operates on low power communication protocol (LoRa®) and conducting experimental procedures on an actual pipe using water instead of oil due to practical difficulty of using oil for the experiment.
Date of publication
Prabha Sundaravadivel ,Mukul Shirvaikar, Chung Hyun Goh
Master of Science in Electrical Engineering
Baiji, Youssef Mohamed, "SMART-DETECT: AN IOT BASED MONITORING SYSTEM FOR OIL LEAK DETECTION" (2019). Electrical Engineering Theses. Paper 41.
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