Methane emission detection, localization, and quantification using continuous point-sensors on oil and gas facilities

Payne Institute Student Researchers William Daniels and Meng Jia, with Faculty Fellow Dorit Hammerling write about how they propose a generic, modular framework for emission event detection, localization, and quantification on oil and gas facilities that uses concentration data collected by point-in-space continuous emissions monitoring systems (CEMS). The framework uses a gradient-based spike detection algorithm to estimate emission start and end times (event detection) and pattern matches simulated and observed concentrations to estimate emission source location (localization) and rate (quantification).  Potential uses for the proposed framework include near real-time alerting for rapid emissions mitigation and emission quantification for data-driven inventory estimation on production-like facilities. December 27, 2022.