Gas & Power Traders

Get near-realtime alerts
on outages and restarts
at LNG liquefaction plants worldwide

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In
the press

LNG market supply

is growing fast, but is often impacted by delays, production outages and shut-ins. The Kayrros LNG Liquefaction Plant Monitor offers near-realtime alerts on startups, outages and restarts at LNG liquefaction plants worldwide down to the train-by-train level. The product leverages satellite imagery to provide precise and reliable data

Sources: Kayrros, Google Earth

Benefits

Timely
See LNG production shut-ins before the rest of the market

Predictive
Anticipate changes in LNG prices triggered by sudden shifts in available supply

Relevant
React quickly to outages affecting your LNG cargo supply chain

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Use case #1

Kayrros users were alerted about a restart on North West Shelf Trains 1 & 4 two days earlier than Reuters reports

Sources: Thomson Reuters, Kayrros analysis

North West Shelf Trains 1 and 4 Back Online

Latest Kayrros satellite surveillance sees the following changes in liquefaction facilities :

Trains 1 and 4 at North West Shelf are back online as of 2019-03-16 02:32 (UTC). The two trails were previously detected offline on 2019-03-11.
Commissioning on Train 1 at Cameron LNG is still on-going. The train showed the first signs of activity over the past 10 days before going offline on 2019-03-15.

Use case #2

A recent Qatargas Train 6 restart was detected several days ahead of other news sources. The restart contributed to a drop in LNG Asia spot prices.

Sources: Thomson Reuters, Kayrros analysis

Qatargas Train 6 Back Online

Latest Kayrros satellite surveillance sees the following changes in liquefaction facilities :

Train 6 at Qatargas is back online as of 2019-03-21 07:06 (UTC) after a maintenance period. The train was originally detected offline of 2019-03-01.

Activity monitoring

View information on liquefaction plant events before the rest of the market

Reliability

Data are derived from precise satellite imagery measurements and not anecdotal information

Granularity

Data on outages and restarts are acquired and presented on a train-by-train level

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