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Decommissioning
planning

Problem

Business Problem

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.

Goal

Use Game AI approach to build an optimized decommissioning sequence for these competing value drivers.

Cost Platforms and pipelines need continued inspection and maintenance. Prioritizing decommissioning of high-cost platforms helps reduce operating cost. Production revenue Producing during late life (partly) offsets operating and abandonment expenditures. Deferring the decommissioning of high producing platforms helps to maximize revenue. Interdependencies Platforms are interconnected by pipelines. The sequence of decommissioning impacts in what order pipelines can be removed, impacting cost. Asset integrity exposure Platform integrity varies between platforms. Prioritizing decommissioning of worst-state platforms reduces late-life safety exposure. the result is a suboptimal decommissioning sequence without clear trade-offs between value drivers. Result

Decommissioning
planning

Process

Game AI

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.

Learning
the basics
of the game
0 GAMES PLAYED

Decommissioning
planning

Dashboard

Opinions

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 opex

very
important

Minimize safety risks

not
important

Production revenue

meet
demand

OPEX forecast

Capacity forecast

Risk forecast

10 year OPEX spend

300 mln

Optimal decommissioning timeline

10 year OPEX spend vs risk

Load the
Game AI