Environmental sensing using small unmanned aircraft systems (sUAS) has become more and more desirable due to the spatial temporal resolution and frequency of sampling. In the oil and gas industry, the process of detecting, quantifying, and localizing leaks are of utmost concern. Emission leaks that go undetected are potentially hazardous and can be costly to companies. In this work we extend a digital twin framework to a controlled release experiment using sUAS. The digital twin model is tuned heuristically and compared using a mass balance method to estimate the source rate. The results show qualitative agreement with the temporal and spatial behavior of the experimental data.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Characterization of ground-to-air emissions with sUAS using a digital twin framework


    Beteiligte:


    Erscheinungsdatum :

    2020-09-01


    Format / Umfang :

    2190036 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Advanced Leak Detection and Quantification of Methane Emissions Using sUAS

    Derek Hollenbeck / Demitrius Zulevic / Yangquan Chen | DOAJ | 2021

    Freier Zugriff

    Wind Characterization Using Onboard IMU of sUAS

    Donnell, Geoffrey W. / Feight, Jordan A. / Lannan, Nate et al. | AIAA | 2018


    sUAS Ground Control Station Capabilities Impact on Fleet Management

    M. C. Saephan / G. G. Sadler / K. Pradhan et al. | NTIS | 2023


    Localization and Quantification of Production Site Methane Emissions using sUAS Mounted Sensors

    Davies, Rob / Moeini, Shahab / Whitehead, Ken et al. | NTRS | 2019


    Wind Characterization Using Onboard IMU of sUAS (AIAA 2018-2986)

    Donnell, Geoffrey W. / Feight, Jordan A. / Lannan, Nate et al. | British Library Conference Proceedings | 2018