Data are synced to the cloud for further processing and assimilation. The system is designed to run off the same hardware, but in a passive configuration where the sensor package is transported by crews performing other tasks. The PoMELO Passive variant focuses on the analytics and systems for measuring emissions of upstream oil and gas sites from public roads. The Padmapper system is presently undergoing commercialization through the University of Calgary technology transfer office Innovate Calgary - please contact us for further information. 785 square feet guest house permitted with 1 BR/1 BA and living room. Please also see our short-form explainer. Solar-powered saltwater swimming pool and mobile controlled water temperature and lights. We conducted a comprehensive single-blind detection experiment at the Colorado State University METEC facility, highlighting the ability of the Padmapper system to detect small emissions sources in a mock facility. PoMELO has extremely good detection performance. Details are available in a new emissions quantification report. Leveraging University of Calgary plume modeling expertise, PoMELO has best-in-class emissions rate measurement performance for real world sites with complex source configurations. The system features a user friendly user interface and artificial-intelligence infused back-end engine to detect, map, and provide triage grade quantifications for emissions sources at the equipment scale.
The PoMELO Padmapper is focused on increasing the efficiency and efficacy of leak detection surveys on upstream oil and gas pads.
POMELLO MOBILE FULL
Multiple PoMELO systems are presently in full time industrial use across Alberta, Canada in regulator-approved leak detection and emissions management programs. Then, cut some notches into the rind around the whole diameter of the fruit. Chris Hugenholtz (Department of Geography, Faculty of Arts). To peel pomelo, cut a small piece, about two inches, from the pointed end of the fruit. The PoMELO system is a University of Calgary project to build a high performance methane sensing system for the upstream oil and gas industry and serve as a research platform to advance mobile pollution monitoring technologies within the Centre for Smart Emissions Sensing Technologies, led by Prof.
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