QatarEnergy and Chevron have teamed up with Singapore’s Pavilion Energy to jointly publish a quantification and reporting methodology to produce a statement of greenhouse gas emissions for delivered LNG cargoes.

Intended for wide adoption, the so-called the SGE Methodology, provides a calculation and reporting framework for greenhouse gas emissions from wellhead to discharge terminal, based on industry standards.

This is the first such published methodology that will be applied to liquefied natural gas sales and purchase agreements, specifically the executed SPAs by Pavilion with QatarEnergy and Chevron.

The SGE Methodology was developed by a team of technical specialists representing the three companies and supported by global sustainability consultancy Environmental Resources Management.

It aims to create a common standard for the measurement, reporting and verification of GHG emissions associated with producing and delivering an LNG cargo to drive greater transparency and enable stronger action on GHG reduction measures.

“The SGE Methodology sets a strong tone for increased accountability of emissions along the LNG value chain, paving the way for more decarbonisation strategies towards a lower carbon future,” said Alan Heng, Pavilion’s interim chief executive.

The SGE Methodology also complements key industry efforts being developed in parallel, specifically the Monitoring, Reporting, Verification (MRV) and GHG Neutral Framework by the International Group of LNG Importers or GIIGNL.

"This joint effort to develop a greenhouse gas quantification and reporting methodology is part of a series of projects and initiatives that reflect QatarEnergy’s commitment to reduce GHG emissions and to decarbonise the LNG value chain,” said Ahmad Saeed Al-Amoodi, QatarEnergy’s executive vice president of surface development and sustainability.

Bruce Niemeyer, Chevron's vice president of strategy and sustainability, added: “This methodology is expected to enhance transparency, improve accuracy and build stakeholder confidence in data reliability to help advance net zero ambitions.”