Project Canary, a data management climate technology company, and the Colorado School of Mines will collaborate to evaluate performance models for methane emissions detection, the companies announced Aug. 7.

The collaboration will compare the performance of the two organizations’ emissions detection models using single-blind controlled release data to help expand knowledge of emissions quantification and its existing challenges. In addition to source emission rate quantification, the study will also look into the performance of models for total site-level emissions estimation, as well as simulation of short-duration releases to mimic a wide range of operational emission events.

Project Canary developed its emissions detection algorithms by working with over 500 operators to quantify emissions at oil and gas production and midstream facilities. The Colorado School of Mines’ detection model uses concentration and wind data from point-in-space continuous monitoring systems to detect, localize and quantify methane emissions.

After the project is completed, the partners intend to publish a peer-reviewed journal paper including the general framework of the two models, the results of the comparative study and lessons learned on the capabilities and challenges of the two models.

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