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.


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    Title :

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


    Contributors:


    Publication date :

    2020-09-01


    Size :

    2190036 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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