TotalEnergies has launched a major digital push to curb methane emissions, unveiling MethaneLive, a global real-time monitoring center designed to detect, measure, and reduce leaks across its operations.

 

Showcased at VivaTech’s 10th anniversary, MethaneLive uses real-time data streams and advanced algorithms to flag emissions and trigger rapid response actions. 

 

The system is already backed by a vast industrial rollout: in 2025, TotalEnergies installed 13,000 sensors across all operated upstream oil and gas sites, both onshore and offshore—making it, by its own account, the only company in the sector with such full-scale real-time coverage.

 

The sensors generate continuous data flows that are processed through digital tools and specialist teams. The goal is immediate: detect anomalies, identify root causes, and recommend corrective actions before leaks escalate.

 

Since going live in early 2026, MethaneLive has already identified 35 fugitive methane emissions across multiple facilities—events that would previously have been difficult to detect—and enabled targeted maintenance to fix them.

 

The company says the platform now lays the groundwork for “agentic AI” systems capable of prioritizing high-emission equipment and further improving leak detection accuracy.

 

Methane remains a central climate challenge for the oil and gas sector, and TotalEnergies has set a target of near-zero methane emissions from its operated upstream assets by 2030. The strategy rests on two pillars: measurement at scale and continuous reduction.

 

“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 part of a broader company-wide digital transformation, as TotalEnergies accelerates the use of artificial intelligence across exploration, production, and industrial operations.

 

Nearly 3,000 pieces of equipment are already monitored using AI systems that detect early warning signs of failure. The company aims to scale this to tens of thousands of assets, enabling predictive maintenance, reducing downtime, and improving safety and cost efficiency.

 

To support this expansion, TotalEnergies is investing in real-time data infrastructure and partnerships, including recent agreements with Emerson and Cognite to improve data collection, structuring, and accessibility.

 

 

In upstream geology, AI is being deployed to accelerate seismic interpretation, improve basin analysis, optimize reservoir development, and automate scenario modelling. The goal is to expand decision-making capacity while improving efficiency and resource recovery.

 

Supercomputing boost: Pangea 5

 

To support growing AI workloads, the company is developing Pangea 5, a next-generation supercomputer expected to increase computing power sixfold. Scheduled to come online from 2027, it will support advanced modelling in subsurface energy systems, electricity networks, and renewables.

 

 

TotalEnergies is also advancing work with Mistral AI through a joint innovation lab launched at VivaTech 2025. Early applications include refinery performance analysis and large-scale processing of technical documentation for exploration and production activities.

 

 

The company also points to rising electricity demand from AI-driven data centers, which account for roughly 3% of global consumption. In response, TotalEnergies says it is supplying renewable power solutions to major technology firms, including Google, Amazon, Microsoft, Orange, and Data4, with more than 4 GW of renewable power agreements signed.

 

MethaneLive positions TotalEnergies’ climate strategy firmly inside a broader industrial shift: one where real-time data, artificial intelligence, and large-scale computing are becoming central tools in emissions reduction—and in how energy operations are run.