Objective/Scope
Methane abatement has become a top priority for oil and gas operators striving to balance operational efficiency and compliance. This paper presents GHGSat’s satellite-based methane monitoring system, which integrates proprietary satellite tasking and automated data processing to accelerate plume detection and deliver emissions intelligence within hours. The objective is to demonstrate how these innovations have shortened the time between detection and action, enabling operators to reduce emissions, mitigate risks, and enhance accountability across complex operations.
Methods/Process
GHGSat’s methane detection workflow begins with proprietary AI-enhanced satellite tasking guided by a proprietary algorithm that accounts for environmental conditions, emission source persistence, and operator needs. Observations are automatically processed via a cloud computing infrastructure, where an AI plume detector is used to flag observations with potential emissions. Observations are then prioritized by plume rank for further manual processing by human operators. A source-rate retrieval algorithm quantifies emissions and select detections are assessed against historic datasets to refine models and identify trends. This approach has reduced turnaround time, enabling faster detection and timely mitigation in oil and gas operations.
Results/Observations/Conclusions
The integration of AI-driven satellite tasking and automated processing has transformed methane detection at scale. In 2024, GHGSat conducted more than 77,000 satellite observations, identifying over 20,000 plumes above 100 kg/hr. Oil and gas operations accounted for 54% of these detections, with average emission rates of 307 kg/hr and a persistence rate of 16%. Advanced tasking algorithms increased revisit frequency by up to 30%, allowing for more consistent monitoring of priority assets.
Operational impact has been significant. Automated workflows now deliver emissions data within 24 hours, which is a significant improvement from 2021, when data was delivered in 72 hours, enabling operators to act on leaks faster.
These advancements highlight how near-real-time emissions intelligence can support regulatory compliance, safeguard reputations, and improve operational efficiency. As methane regulations remain a focus worldwide, rapid detection and reliable reporting are becoming essential tools for energy companies to drive accountability and demonstrate responsible operations.
Novel/Additive Information
The novelty of GHGSat’s approach lies in its ability to remotely monitor assets around the globe at any time and deliver facility-level insights. With newer satellites scheduled for launch by the end of 2025, monitoring capacity will expand by 50%, improving revisit rates and global coverage. Beyond methane, new sensor capabilities are extending to CO₂ and offshore monitoring. These advancements demonstrate how satellite intelligence can deliver verified, actionable data to accelerate methane abatement across the energy sector.
Methane abatement has become a top priority for oil and gas operators striving to balance operational efficiency and compliance. This paper presents GHGSat’s satellite-based methane monitoring system, which integrates proprietary satellite tasking and automated data processing to accelerate plume detection and deliver emissions intelligence within hours. The objective is to demonstrate how these innovations have shortened the time between detection and action, enabling operators to reduce emissions, mitigate risks, and enhance accountability across complex operations.
Methods/Process
GHGSat’s methane detection workflow begins with proprietary AI-enhanced satellite tasking guided by a proprietary algorithm that accounts for environmental conditions, emission source persistence, and operator needs. Observations are automatically processed via a cloud computing infrastructure, where an AI plume detector is used to flag observations with potential emissions. Observations are then prioritized by plume rank for further manual processing by human operators. A source-rate retrieval algorithm quantifies emissions and select detections are assessed against historic datasets to refine models and identify trends. This approach has reduced turnaround time, enabling faster detection and timely mitigation in oil and gas operations.
Results/Observations/Conclusions
The integration of AI-driven satellite tasking and automated processing has transformed methane detection at scale. In 2024, GHGSat conducted more than 77,000 satellite observations, identifying over 20,000 plumes above 100 kg/hr. Oil and gas operations accounted for 54% of these detections, with average emission rates of 307 kg/hr and a persistence rate of 16%. Advanced tasking algorithms increased revisit frequency by up to 30%, allowing for more consistent monitoring of priority assets.
Operational impact has been significant. Automated workflows now deliver emissions data within 24 hours, which is a significant improvement from 2021, when data was delivered in 72 hours, enabling operators to act on leaks faster.
These advancements highlight how near-real-time emissions intelligence can support regulatory compliance, safeguard reputations, and improve operational efficiency. As methane regulations remain a focus worldwide, rapid detection and reliable reporting are becoming essential tools for energy companies to drive accountability and demonstrate responsible operations.
Novel/Additive Information
The novelty of GHGSat’s approach lies in its ability to remotely monitor assets around the globe at any time and deliver facility-level insights. With newer satellites scheduled for launch by the end of 2025, monitoring capacity will expand by 50%, improving revisit rates and global coverage. Beyond methane, new sensor capabilities are extending to CO₂ and offshore monitoring. These advancements demonstrate how satellite intelligence can deliver verified, actionable data to accelerate methane abatement across the energy sector.
