A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Production

• Published in: Environmental science & technology Vol. 50; no. 5; pp. 2487 - 2497
• Main Authors: Albertson, John. D, Harvey, Tierney, Foderaro, Greg, Zhu, Pingping, Zhou, Xiaochi, Ferrari, Silvia, Amin, M. Shahrooz, Modrak, Mark, Brantley, Halley, Thoma, Eben D
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 01.03.2016
• Subjects: Air Pollutants - analysis; Algorithms; Bayes Theorem; Bayesian analysis; Bayesian theory; data collection; emissions; Emissions control; Environmental Monitoring - methods; industry; Methane; Methane - analysis; Models, Theoretical; monitoring; Motor Vehicles; North Carolina; Oil and Gas Fields; Oil and Gas Industry - methods; oils; planning; Remote Sensing Technology - methods; Sensors; Surveillance; trucks; uncertainty

This paper addresses the need for surveillance of fugitive methane emissions over broad geographical regions. Most existing techniques suffer from being either extensive (but qualitative) or quantitative (but intensive with poor scalability). A total of two novel advancements are made here. First, a...