There are several kilometers long piping in our park which need to be monitored very closely
At the moment this is done by our own staff or contractors, which is very time consuming because they need to walk each kilometer
Through the limitations of doing this manually, e.g. the pipe tranches are very wide and can not be checked equally, the monitoring quality is poor
First initiatives within company
Started a drone program to be able to fly with pre-configured flights above the pipe racks and pipe tranches
Regulative stuff is done, so we can fly
We did a pilot program with a startup, which mapped the area and tried to implement an AI algorithm to detect corrosion and leakages. AI capabilities of this company are in the early stages and we decided to look for a specialized company
Need for support
We need a solution to visually detect leakages (dropping fluid) under pipe racks and pipe tranches
We need a solution, which can monitor several kilometers of pipes; in best case fully automated with minimized human interaction
We need a solution, which can do this mostly autonomous with a drone (weight limitation <2 kg)
The challenge should focus on the development on an AI algorithm, which can “translate” the visual inspection data into an evaluation pattern, which identifies potential fluid leakages of the pipe grid
Optional: if there is an alternative to the purely visual inspection (e.g. specific sensor technologies) Shell would be open for this as well
Diese Challenge ist aus dem Jahr 2022 und ist beendet.
Bewerbungen sind nicht mehr möglich.
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