Alex MacGregor & Eric Wen: Lessons from field deployment of Qube metal oxide continuous monitoring systems

Qube Technologies, a provider of metal oxide based continuous monitoring (CM) systems, will be present three unique case studies highlighting its learnings from the field:

1. Incomplete combustion: Qube devices with CH4 and CO sensors were deployed at a site in DJ basin and alerted the operator of emissions exceeding allowable threshold. These emissions were estimated to be coming from the separators but a subsequent optical gas imaging (OGI) inspection failed to reveal any leaks. This case study will provide overview as to why the OGI follow-up missed the emissions and how CH4 sensor data when coupled with CO data revealed that the burners were running rich and were therefore venting more gas than anticipated. The case study will also present the actions once the issue was confirmed and the impact of such actions 
2. Regulatory approved work practices: Qube and Enhance Energy received regulatory approval to use of CM for leak detection and repair (LDAR) purposes, a first for continuous monitoring in the world. This case study will provide an overview of the Canadian regulations which supported the use of alternative technologies for LDAR, the process for getting approval including performance requirements and work practices and finally results from the field trial.
3. Totalized emissions using ML based modeling: CM systems have been shown to be a reliable early detection system however, there are still unknowns as to the quantification accuracy CM systems given the variability of wind patterns at a site. As operators around the world commit to reporting emissions based on measured data, accurate site level quantification of emissions will play an increasingly important role. Qube will provide an overview of the current limitations of CM as it relates to site level quantification and present an ML based emission rate estimation model which aims to address some of these limitations

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