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Eni's Gas Sensor Node continuously monitors and measures fugitive methane emissions, enabling targeted interventions and regulatory compliance.
Eni has developed a proprietary, scalable and advanced digital solution for managing fugitive methane emissions: the Gas Sensor Node (GSN).
The compact, autonomous and connected device is designed for monitoring point-source emissions and for continuous monitoring, as well as for quantification of leaks directly at source.
It is estimated that, in the Oil & Gas sector, about 22% of total CH₄ emissions come from "fugitive" leaks generated mainly by valves, connections and pumps. The GSN makes a real contribution to identifying and eliminating possible losses. This technological innovation increases Eni's operational and environmental performance.
Industrialisation
Air protection
Featuring in-house patent-pending technology from Eni R&D, the GSN is the only remote single-point system capable of continuously monitoring and quantifying fugitive methane emissions directly at source. The device activates automatic alarms when the specific thresholds are exceeded. It is part of a suite that combines ATEX 0 certified hardware, cloud software for centralised data management and a proprietary quantification algorithm that transforms the measured concentration into flowrates (ml/min).
The Gas Sensor Node can be used in onshore and offshore plants, including ATEX 0 environments, in complex operational contexts, with point-source and intermittent emissions.
With the GSN, Eni is not just complying with environmental regulations, but offers proactive and scalable solutions. It's a concrete example of how digitisation and proprietary research can help transform a potential environmental issue into an opportunity for operational improvement and greater sustainability.
The GSN is energy-autonomous, thanks to a solar panel connected to a supercapacitor. It communicates wirelessly via the LoRaWan protocol, which is particularly well-suited for connecting self-powered IoT devices over long distances, eliminating cables and simplifying installation, and does not require specific technical training. Once running, it automatically sends data to the proprietary digital platform, where Eni R&D's algorithm converts the concentration data into emission flowrates, even in complex and congested contexts. It also detects intermittent sources, ensuring full evaluation of the emission sources. The system is designed to operate in various environmental contexts and over a wide range of temperatures.
Its associated software platform offers a map of the system's sensors, with a detailed sheet for each of them, indicating historical series of detections, operating status and management of alarms, with configurable measurement intervals.
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EnergIA is an innovative tool based on artificial intelligence capabilities, which can help you navigate the contents of eni.com, quickly finding answers to your questions. Start now!
EnergIA (ener'dʒia) is a system based on Generative Artificial Intelligence.
Thanks to this technology, we can respond to your requests by querying the most relevant content and documents available on eni.com. (Note: financial documents from the last 12 months and press releases from the last 2 years are considered.)
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Remember that the content generated by the system does not represent Eni’s official position. We therefore invite stakeholders to refer to their designated contacts for official statements: Press Office for journalists, Investor Relations for analysts and investors, Company Secretariat for shareholders etc..
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EnergIA (ener'dʒia) is a system based on Generative Artificial Intelligence.
Thanks to this technology, we can respond to your requests by querying the most relevant content and documents available on eni.com. (Note: financial documents from the last 12 months and press releases from the last 2 years are considered.)
Through EnergIA, you can delve into topics of interest and have a real-time window into the world of Eni.
If you wish to search for a specific document, press release or news, use the traditional search engine via the magnifying glass icon.
Like all systems that leverage Generative Artificial Intelligence, EnergIA may generate inaccurate or outdated responses. Always consult the sources that EnergIA proposes as the origin of the generated information.
If the system fails to find an exact match for the requested content, it still tends to provide a response.
If you find any inaccuracies in the provided response, please send us your feedback at the bottom of the page: it will be very helpful for us to improve.
Remember that the content generated by the system does not represent Eni’s official position. We therefore invite stakeholders to refer to their designated contacts for official statements: Press Office for journalists, Investor Relations for analysts and investors, Company Secretariat for shareholders etc..
EnergIA can understand questions posed in almost all languages, but we prefer to provide you with a response in English or Italian, the two languages available on eni.com. If you ask a question in Italian, the content on the site in Italian will be consulted. If you ask it in English or any other language, the content in English will be consulted. (Note: the language Eni uses for financial documents/content is predominantly English.)
If questions are formulated that violate the set security criteria, the system will not proceed with processing the response. Please remember not to send personal data.
By using this service, the users acknowledge that they have read and accepted the terms and conditions of use.
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