Business Problem

A government and National Oil Company face a complex portfolio planning decision regarding upcoming exploration licensing rounds.

The NOC is a 35% shareholder in all development and exploration licenses.

The investment portfolio is large, ranging from unexplored blocks to ongoing developments.

The country's GDP is very dependent on Oil & Gas. Political and public expectations are high but the growth pace is putting strain on the NOC's cashflow.

New exploration licenses have varying probabilities of success, mean success volumes, development cost and timelines to discovery and first production.

Goal

Use Game AI to build optimised plans from different stakeholder perspectives to give insight into the decision.

Game AI

We translated the country's exploration bid around planning into a 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 assistant, we can now develop long term strategies for upcoming licensing rounds while taking into account different stakeholder views.

Drivers

Use the settings below to reflect what you feel are the most important drivers for the country and NOC. Evaluate how different drivers lead to different optimized licensing rounds and outcomes. Use this insight to make the "right" decision.