Oil and gas IoT monitoring systems

The data collection, management and analysis through IoT provides multiple benefits like the reduced need to check pipelines onsite with, consequently, workers’ safety improvement and the possibility to focus more on environmental concerns and social issues.
Going into deeper details, with all this data, technicians can sense for example when water levels are reaching dangerous levels, thus helping to handle potential floods; or they will be able to prevent leaks, which both reduce profits, damage the environment and claim lives.
Through an Internet of Things-based remote sensing system, customers can be in control of what passes through water (or oil or gas) pipelines and drains, allowing them to “think” through improvements thanks to all the information they can collect.

IoT technology is ideal for this type of applications, where large volumes of digital data must be managed and it possible to access, collect, and analyze data real time and remotely, i.e., without being present on site to perform field inspections with human workers in the loop.

These wireless sensing systems provide many benefits for oil & gas, chemical or water companies. For one thing, they allow engineers to “predict” failures before anything goes wrong. They can know instantly when pressure or temperature levels spike, and keep an eye on structural integrity. They also reduce the need for physical checks and infrastructure, lowering costs. Many pipelines are located in inhospitable locations, but with remote systems, they can be monitored safely and effectively at a distance.

The oil and gas industry was one of the earliest adopters of Internet of Things (IoT) technology, and for the good reason that especially energy suppliers leverage many of the same IoT components used in other industries, including remote sensors, machine learning, and the cloud. When connected and combined with business processes such as alerts, IoT in oil and gas systems allows operators to monitor systems and react securely and in real time even to production problems that arise, as well as monitor status infrastructure.