Use case
According to a study carried out by the European Commission (1), the gas industry is responsible for 33% of methane (CH4) emissions in the energy sector. However, methane is a powerful greenhouse gas, 30 times greater than C02, which contributes to global warming. These methane emissions come from both:
It has been shown that a frequent search for fugitive leaks is a decisive factor in reducing methane emissions. Thus, to meet the problems of safety, maintenance, and reduction of the impact on the environment due to gas leaks, one solution is to deploy a fixed system for the automatic detection of gas leaks.
(1) Workshop on a regulatory approach on leak detection and repair of methane emissions in the oil and gas sectors, Malcolm McDowell, DG ENER, European Commission
Our gas leak detection system makes it possible to detect leaks on an industrial site based on the acoustic signal emitted by these leaks. Beyond detection, the system also makes it possible to locate gas leaks, thus facilitating the work of maintenance teams on industrial sites.
In collaboration with the SIM Engineering design office, we have thus deployed a solution for the detection and location of gas leaks based on acoustic sensors. The prototype solution has been using 10 sensors on a TotalEnergies test site with a surface area of 2000m² since June 2019.
We detect leaks in real time as low as 0.3 g/s and with an accuracy of 5 m using our artificial intelligence algorithm.
This installation also meets TotalEnergies' information security requirements through the provision of a local server and a robust and secure infrastructure allowing information to be sent back to a TotalEnergies business platform.
With the objective of detecting gas leaks (natural gas, air, hydrogen), we have developed, in collaboration with our client, several sensors on the entrance portal of an industrial site in order to detect leaks present on gas transport trucks.
This tool made it possible to detect leaks that until now had not been detected and thus secure access to the site. This detection is carried out live at each truck entrance via the provision of our platform and visualization of detection rates in real time.
Our detection algorithms are also capable of detecting air or steam leaks in complex industrial environments.
This project has in particular developed, thanks to the European Union and the Hauts-de-France region, which co-financed the project whose objective is to monitor and reduce greenhouse gas emissions as part of its REACT-EU program.
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