Summary
Details
- Global
Participation in OGMP 2.0 is open to oil and gas companies, as well as international organisations, governments, and non-governmental organisations, with the aim of improving the accuracy and transparency of methane emissions reporting.
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Overview
The Oil and Gas Methane Partnership 2.0 (OGMP 2.0) is a voluntary international reporting and mitigation framework for methane emissions in the oil and gas sector. It is led by the United Nations Environment Programme (UNEP) and managed through the International Methane Emissions Observatory (IMEO). Launched in 2021 as an expansion of the original 2014 OGMP initiative, OGMP 2.0 was developed to improve the accuracy, transparency, and comparability of methane emissions data. It is considered the most comprehensive, measurement-based reporting framework for methane emissions across the oil and gas value chain, covering both operated and non-operated assets.
Methodology and reporting framework
OGMP 2.0 member companies are required to annually report their Scope 1 methane emissions. Reporting is based on a five-level system that progressively improves data accuracy:
Levels 1–3: Emissions estimated using generic or asset-specific emission factors
Level 4: Source-level reporting based on direct measurements and activity data
Level 5: Site-level measurement, including reconciliation with independent (top-down) data
Companies are required to report all material emission sources across their value chain and improve reporting quality over time. A central objective is achieving “Gold Standard” reporting, which requires widespread Level 4 and Level 5 data coverage within defined timelines (typically three years for operated assets and five for non-operated assets).
Current status
OGMP 2.0 is in operation. It is particularly relevant for oil and gas companies seeking to align with emerging methane regulations or demonstrate credible emissions performance to investors and stakeholders. In 2025, membership increased to 153 entities representing 42% of global operated and non-operated production. Its structured pathway from estimated to measured data supports operational decision-making, especially in identifying high-emitting assets.
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