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Alkadi, Nasr (Energy Innovation Center, BHGE) | Chow, Jon (Measurement and Sensing, BHGE) | Howe, Katy (Energy Innovation Center, BHGE) | Potyrailo, Radislav (GE Research) | Abdilghanie, Ammar (Energy Innovation Center, BHGE) | Jayaraman, Balaji (Oklahoma State University) | Allamraju, Rakshit (Oklahoma State University) | Westerheide, John (Energy Innovation Center, BHGE) | Corcoran, John (Measurement and Sensing, BHGE) | Di Filippo, Valeria (Energy Innovation Center, BHGE) | Kazempoor, Pejman (Energy Innovation Center, BHGE) | Zoghbi, Bilal (Energy Innovation Center, BHGE) | El-Messidi, Ashraf (Measurement and Sensing, BHGE) | Zhang, Jianmin (Energy Innovation Center, BHGE) | Parkes, Glen (Measurement and Sensing, BHGE)
This paper presents our progress in developing, testing, and implementing a Ubiquitous Sensing Network (USN) for real-time monitoring of methane emissions. This newsensor technology supports environmental management of industrial sites through a decision support system. Upon detection of specific inputs, data is processed before passing it on for appropriate actions
Real-time monitoring of air pollutants represents a very important issue for the environmental management of an industrial site; in addition to environmental protection, it helps to prevent any risk of accident due to explosive atmosphere. For this reason it is important to act quickly to identify potential risks and take appropriate actions. The paper describes the implementation and on-field results of an end-to-end distributed monitoring system integrating VOC detectors, capable of performing real-time analysis of gas concentration in hazardous sites at unprecedented time/space scale. The system consists of a Wireless Sensor Network (WSN) infrastructure, whose nodes are equipped with various meteo-climatic sensor s and gas detectors, of a TCP/IP over GPRS Gateway which forwards data via Internet to a remote server and of an user interface which provides data rendering in various formats and access to data. The paper provides a survey of the VOC detector technologies of interest, of the state-of-theart of the fixed and area wireless technologies available for Gas detection in hazardous areas and a detailed description of the WSN based monitoring system.
During drilling or production operations, poisonous, highly flammable hazardous gases can be released into the environment. A next-generation gas emission monitoring system monitors gas leaks and can help the oil and gas industry improve workplace safety. The initial design, architecture, and development of a realtime monitoring and surveillance system consisting of drones capable of performing autonomous aerial inspections is discussed. This system monitors and reports the spatiotemporal evolution of hazardous gas clouds, such as H 2 S, CH 4, and CO 2, in the oil and gas facilities in real time and provides necessary actions for a safe operation. The proposed monitoring system is compared to the traditional monitoring approach where sensors are placed near the ground. This work is a significant improvement from the authors' previous work leveraging state-of-the-art machine learning technologies to create smart drones capable of making intelligent decisions involving gas leak monitoring.
Watremez, Xavier (TOTAL) | Marblé, André (TOTAL) | Baron, Thierry (TOTAL) | Marcarian, Xavier (TOTAL) | Dubucq, Dominique (TOTAL) | Donnat, Ludovic (TOTAL) | Cazes, Laurent (TOTAL) | Foucher, Pierre-Yves (ONERA) | Danno, Ronan (ADCIS) | Elie, Damien (ADCIS) | Chamberland, Martin (Telops) | Gagnon, Jean-Philippe (Telops) | Gay, Le Brun (Bertin Technologies) | Dobler, Jeremy (Harris) | Østrem, Ruben (Gas Optics) | Russu, Andres (Sensia) | Schmidt, Matthew (Fluke) | Zaouak, Olivier (Modis)
Remote sensing technologies can be applied for a wide range of gas leak flowrates and in three main cases: (1) major leaks in crisis management; (2) medium size leaks in safety monitoring; (3) small leaks in environmental monitoring. A gas test campaign, conducted by Total, the ONERA - the French Aerospace Lab - and ADCIS in September 2015 using three hyperspectral infrared cameras from Telops, confirmed our capacity to visualize in 3D and quantify in real time plumes of methane in the range of 1 g/s to 50g/s. The R&D project on gas remote quantification continued with a second gas test campaign in 2017. The second gas test campaign was organized on Total's Lacq Pilot Platform in France and involved several gas spectral imaging systems: (1) mobile hyperspectral cameras in the Long-Wavelength InfraRed (LWIR) band (7.7-12μm); (2) a multispectral camera in the LWIR band (7-9μm); (3) a multigas lidar (LIght Detection And Ranging) system coupled with a wind lidar system; (4) five other international teams (US, Spain, Norway and France) were also invited to assess the capacity of their remote-sensing systems to quantify methane and carbon dioxide releases. The two-week test demonstrated that methane leak emissions ranging from 0.7 g/s to 140 g/s could be visualized and quantified in real time using a mobile Telops Hyper-Cam. This campaign also served to validate the performance of several remote sensing technologies. Total's Lacq Pilot Platform is a test area for qualifying cost-effective systems designed to complement the gas detection system of a plant and provide valuable information should a gas leak incident occur. New methodologies for the early detection of anomalies using remote observation systems including drones, robots and artificial intelligence data processing systems are currently being investigated there. 2 SPE-190496-MS
One of the 11 projects currently under development through the ARPA-E MONITOR program is a laser-based remote methane leak detector adapted for mounting on the InstantEye (pictured), an unmanned aerial vehicle from Physical Science, Inc. (PSI) and Heath Consultants. MONITOR is a three-year program created to identify low-cost technologies that can accurately locate and measure methane emissions associated with natural gas production. Methane emissions are a significant environmental challenge for the oil and gas industry, and companies are looking for the most effective sensor-based systems to reduce methane leaks from anywhere on the wellpad, But while there are numerous technologies available to measure methane levels—including gas chromatographers, flame ionization detection systems, and catalytic sensors—these systems can be cost-prohibitive. The US Advanced Research Projects Agency-Energy (ARPA-E) estimates that current high-resolution methane measurement systems have initial capital costs of $75,000 to $100,000 along with additional installation, calibration, and operating costs. To help identify potential low-cost, comprehensive solutions that facilitate the early mitigation of methane leaks and process upsets, ARPA-E launched the Methane Observation Networks with Innovative Technology to Obtain Reductions (MONITOR) program.