TotalEnergies advances use of data and AI to tackle methane emissions
TotalEnergies is
TotalEnergies is advancing the deployment of data and AI to make its operations more efficient, safer and more sustainable, as exemplified by its new methane emissions monitoring centre
At VivaTech 2026, TotalEnergies is showcasing MethaneLive, its new global methane emissions monitoring centre which leverages real-time data and advanced algorithms to detect, measure, and analyse emissions, thereby providing a pathway to reduce them
Curbing methane emissions can play an important role in slowing global warming. IEA analysis suggests that the energy sector was responsible for around 145 Mt of methane emissions in 2024 – more than 35% of the total amount attributable to human activity. Oil operations were responsible for around 45 Mt, natural gas operations for nearly 35 Mt, and abandoned wells for around 3 Mt. An additional 2 Mt of methane leaked from end-use equipment. The oil and gas industry is making increasing efforts to reduce methane emissions, with more than 50 oil and gas companies, including TotalEnergies, signing up to the Oil & Gas Decarbonisation Charter launched at COP28, which commits signatories to reducing emissions to near zero by 2030.
Acccurate emissions data is critical for the implementation of effective methane abatement strategies. In 2025, TotalEnergies deployed permanent, real-time methane emissions monitoring through the installation of 13,000 sensors across all its operated onshore and offshore Upstream sites. These sensors generate a large volume of data. By combining advanced digital tools with the expertise of MethaneLive teams, this data is analysed in real time to alert operators, identify the root causes of anomalies, and recommend the most appropriate corrective actions.
Since its launch in early 2026, MethaneLive has detected 35 fugitive methane emissions at various facilities and enabled them to be tackled through targeted maintenance operations.
This foundation now enables the deployment of agentic AI solutions to go further, by more effectively targeting the highest-emitting equipment and improving the detection of fugitive emissions.
“The use of real-time data is a concrete driver that helps make our operations more reliable, safer, more efficient, and more sustainable. The value of digital technologies and AI is built over time, at the intersection of technology and people. Thanks to the quality of our data and the expertise of TotalEnergies’ teams, we are making digital a key driver in the fight against methane emissions,” said Namita Shah, president OneTech at TotalEnergies.
MethaneLive is just one example of how TotalEnergies is leveraging data to integrate artificial intelligence into its operations, making them more efficient, safer, and more sustainable, as it looks to scale up the use of data and AI across the company.
Data: a key enabler for scaling AI
Today, nearly 3,000 pieces of equipment are monitored across TotalEnergies’ assets. By analysing data collected from this equipment, AI systems detect early warning signs of potential failures, enabling teams to proactively plan maintenance operations on industrial facilities. This approach improves asset availability, reduces unplanned shutdowns and associated costs, and enhances safety. This system is set to be extended to tens of thousands of additional pieces of equipment monitored by AI models.
To fully leverage data and deploy AI at scale, TotalEnergies is investing in collecting real-time information from all its sites, then making it more reliable, better structured, and easily accessible to teams through dedicated platforms.
AI to unlock the full value of subsurface data
The company is leveraging advanced AI models combined with high-performance computing to fully harness its subsurface data and knowledge base, from exploration through to production across its assets.
In geosciences, AI helps streamline basin and field synthesis, improve the interpretation of seismic data, and optimise reservoir development and production, while automating processes and enabling the evaluation of a wide range of scenarios. It thus strengthens teams’ analytical and interpretation capabilities, helping identify new resource opportunities and optimise their development in a more efficient and sustainable way.
A new supercomputer to support AI applications
To support these data investments, TotalEnergies is launching Pangea 5, a new-generation supercomputer, which will increase the company’s computing power sixfold and support the development of AI applications. From 2027, it will help meet growing digital needs, optimise computing times, and deepen the understanding of complex scanarios.
AI to enhance safety and boost industrial performance
TotalEnergies is also collaborating ith Mistral AI on a joint innovation lab, focusing initially on refinery performance analysis, as well as on leveraging large volumes of technical documents and data for exploration & production activities.
, utilities, industrial, and infrastructure sectors. The company provides complete lifecycle support including engineering, system design, commissioning, training, and long-term maintenance services.
