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An Event-Based Framework for Estimating Annual Methane Emissions and Managing Emissions Data from Upstream Oil and Gas Facilities

An Event-Based Framework for Estimating Annual Methane Emissions and Managing Emissions Data from Upstream Oil and Gas Facilities

This is a Preprint and has not been peer reviewed. This is version 5 of this Preprint.

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Authors

Mozhou Gao, Zahra Ashena, Steve H.L. Liang, Sina Kiaei, Saeedi Sara

Abstract

Accurate reporting of annual site-level methane emissions is increasingly required under emerging regulatory and voluntary frameworks in the oil and gas (O&G) sector. In this study, we present an event-based framework for estimating annual methane emissions from upstream O&G facilities. The framework applies the Emission Event Data Model (EEDM) to spatiotemporally aggregate multi-scale emissions data into discrete events using the concept of Allen’s interval algebra and spatial proximity. Following the creation of events, emissions are categorized into three groups: resolved (with a known emission rate and duration), partially ...  more

DOI

https://doi.org/10.31223/X59M72

Subjects

Engineering, Physical Sciences and Mathematics

Keywords

Oil and Gas Methane, greenhouse gases, Emissions Data model, Emissions Management, Methane Emissions Reconciliation, Measurement-informed Inventory, MMRV Framework

Dates

Published: 2025-04-05 15:23

Last Updated: 2025-06-20 22:37

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None