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• W3203672006 abstract "There is a need for improved indirect quantification of methane emissions, particularly from the natural gas industry. Natural gas production continues to increase along with the number of wells and production sites. These production sites have the potential to contribute significant levels of methane emissions. Methane is a potent greenhouse gas and the primary component of natural gas. A more complete understanding of emissions through improved quantification will lead to enhanced mitigation. Emissions have historically been quantified with both direct and indirect methods, with varying results. Emissions have been shown to be both temporally and spatially variable. These facts have led government agencies to fund programs that are focused on improving the quantification methods used. The National Science Foundation (NSF) recently awarded a grant to West Virginia University (WVU) that focused on the “inter-comparison and advancement” of direct and indirect methane emissions measurements. The primary objectives were to directly quantify emissions, develop and deploy a data acquisition system to record variables required for indirect measurements, and employ machine learning to combine current methods with the goal of reducing indirect quantification uncertainty." @default.
• W3203672006 created "2021-10-11" @default.
• W3203672006 creator A5024696283 @default.
• W3203672006 date "2021-08-06" @default.
• W3203672006 modified "2023-10-03" @default.
• W3203672006 title "On the Improvement of the Indirect Quantification of Methane Emissions: A Stationary Single Sensor Approach" @default.
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• W3203672006 doi "https://doi.org/10.33915/etd.8329" @default.
• W3203672006 hasPublicationYear "2021" @default.
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