Kayrros LNG Intelligence

Track global LNG supply disruptions, train-level activity and maintenance risk with near real-time alerts, historical data and forward-looking analysis

LNG Intelligence gives users a timely and detailed view of global LNG supply. The service combines satellite imagery, remote-sensing technologies and machine-learning algorithms with feed gas, flaring and shipping data to detect outages and restarts at LNG liquefaction plants worldwide.


Designed for traders, analysts and others who need early signals on supply disruptions, the service helps users monitor plant activity in near real-time, allowing them to accurately assess the market impact of outage events and any impact on balances. It combines real-time alerting with a train-level historical database and forward-looking maintenance forecasting, giving users both immediate visibility and longer-range planning support.

Why Kayrros LNG Intelligence

Track LNG supply with greater speed, visibility and confidence using train-level data built for trading and market analysis.

98%


Detection of outages and restarts

Less than 20 hours


Average time to alert users to a new outage

10+ years


Historical train-level outage database

18 months


Maintenance forecast horizon at train level

Early signals on outages and restarts


The service is designed to detect outages and restarts at LNG liquefaction plants worldwide as early as possible.


By combining multiple real-time inputs, it helps users identify supply disruptions days ahead of other data sources and respond faster to changing market conditions.

Kayrros LNG Intelligence - platform
Kayrros LNG Intelligence - platform

Planned and unplanned outage visibility


The service helps users distinguish between planned and unplanned outages, supporting faster market interpretation and a clearer view of likely supply impact.


Combined with train-level visibility, this gives users a more complete understanding of plant status, utilisation and operational change across the global LNG system.

Historical context and forward-looking maintenance insight


A train-level historical outage database helps users analyse patterns in uptime, utilisation and maintenance behaviour over time. This is complemented by an 18-month maintenance forecast designed to help users anticipate planned disruptions and assess likely market impact earlier.

Kayrros LNG Intelligence - platform
Kayrros LNG Intelligence - platform

Flexible delivery for trading workflows


The service is available through dashboards, REST or Python API, weekly reports and near real-time alert emails. This allows users to integrate LNG supply intelligence into discretionary trading, internal balance work and broader market monitoring processes.

Who we serve

Designed for users who need timely, independent LNG supply intelligence.

Oil Markets

Gas and LNG traders

Support short-term trading decisions with earlier visibility into outages, restarts and changes in LNG supply availability.

Gas & Power Markets

Market analysts

Strengthen LNG balances and market interpretation with train-level outage data, historical context and maintenance forecasting.

Risk and strategy teams

Use structured LNG supply data to monitor disruption risk, assess market impact and improve decision-making during periods of volatility.

Kayrros LNG Intelligence FAQs

  • What is LNG Intelligence?

    LNG Intelligence provides near real-time visibility into global LNG supply, combining outage alerts, train-level data and maintenance forecasting to help users monitor supply disruptions and assess market impact.

  • What does the service cover?

    The service combines real-time outage detection, planned and unplanned outage classification, historical outage data, maintenance forecasting, and supporting data such as feed gas, flaring and shipping.

  • What does “train-level” mean?

    A train is an individual liquefaction unit within an LNG export plant. Train-level data means the service can identify outages, restarts and maintenance at the level of a specific train rather than only at plant level.

  • How quickly are users alerted to a new outage?

    The supporting materials state that users are alerted in less than 20 hours on average when a new outage is detected.

  • Does the service distinguish between planned and unplanned outages?

    Yes. The service includes planned and unplanned outage classification to support faster market interpretation and a clearer view of likely supply impact.

  • Does the service include historical data?

    Yes. LNG Intelligence includes a train-level historical outage database with more than 10 years of history.

  • What is the maintenance forecast?

    The maintenance forecast is a forward-looking component of LNG Intelligence that provides an 18-month train-level view of expected maintenance and outage risk.

  • How is the service delivered?

    Users can access the service through dashboards, API, weekly reports and near real-time alert emails.

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