GC085-0010
FEAST-based evaluation of methane emissions regulations – the case of state-level leak detection and repair programs
Abstract:
In this work, we use these state-level LDAR program data to model the effectiveness of methane mitigation policies using the FEAST simulation platform. FEAST (Fugitive Emissions Abatement Simulation Tool) is an open source model that simulates upstream methane emissions through time, including intermittent vents, short duration high intensity events such as liquids unloading, and fugitive emissions. LDAR surveys using OGI technologies are simulated by modeling leak detection through probability of detection surfaces that depend on meteorological conditions and emission rate. These parameters are based on prior experimental studies of technology performance conducted at the METEC test site in Colorado. In addition, parameters that affect real-world performance such as infrastructure density, survey speed, survey frequency, and survey disruptions due to extreme conditions can be tuned to represent Colorado-specific LDAR programs.
The LDAR program data collected by the CDPHE provides an unprecedented opportunity to evaluate current understanding of the temporal evolution of methane emissions under mitigation policies. We present our analysis of the last six years of LDAR program implementation in Colorado and the lessons for future oil and gas methane mitigation regulations.