A late life gas producing asset needs to be decommissioned in the next 10 years, involving 15 offshore platforms and interconnecting pipelines.
There is an opportunity to maintain some revenue by meeting the (declining) gas demand.
The remaining production potential, operating expenses and asset integrity status vary from platform to platform.
Value drivers: an ideal decommissioning plan meets the remaining demand while minimising OPEX and safety risks.
Use Game AI approach to build an optimized decommissioning sequence for these competing value drivers.
We translated the asset’s decommissioning planning into a reverse resource allocation game, and taught an AI agent to play this game.
Through self-play, the AI learns to master the game mechanics and to develop strategies that outperform human planning capability.
Using our AI as a planning assistant, we can now develop decommissioning planning strategies much more efficiently than before, and translate stakeholder views immediately into alternative plans to improve decision making.
Use the settings below to reflect what you feel are the most important drivers for decommissioning. Evaluate how different drivers lead to different optimized decommissioning sequences and use this insight to make the “right” decision.
Minimize safety risks
10 year OPEX spend
Optimal decommissioning timeline
10 year OPEX spend vs risk