Estimation and Applications of Uncertainty in Methane Emissions Quantification Technologies: A Bayesian Approach.

ABSTRACT: An accurate understanding of uncertainty is needed to properly interpret methane emission estimates from upstream oil and gas sources in a variety of contexts, from component-level measurements to yearly jurisdiction-wide inventories. To characterize measurement uncertainty, we examine controlled release (CR) data from five different technology providers including quantitative gas imaging (QOGI), tunable diode laser-absorption spectroscopy (TDLAS); and airborne near-infrared hyperspectral (NIR HS) imaging. We introduce a novel empirical method to develop probability distributions of measurements given a true emission rate using the CR data. The approach includes flexible likelihoods which capture complex relationships in the data. An algorithm which provides the distribution of the true em

SUBMITTER: Wigle A 

PROVIDER: S-EPMC11406514 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature