Improving laser methane emission monitoring with frequency-amplitude feature of absorption pulse

Abstract

Accurate monitoring of methane emissions is vital for environmental management and safety in oil and natural gas operations. This paper introduces a methodology leveraging advanced analytics and experimental data to build a linear regression model for methane concentration estimation. The approach utilizes a time-frequency analysis and incorporates proposed frequency-amplitude features of the absorption pulse, which have shown a strong correlation with methane concentration. Experimental results validate that the proposed feature achieves a higher correlation (R2=0.981) with methane concentration.