UC-198
Combined Prospect & Portfolio Ranking
Uses AI to evaluate and rank exploration opportunities using consistent geological, technical, commercial, and risk criteria, enabling objective portfolio prioritization and capital allocation.
TBDBuild Duration
XXXXIndicative ROI
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The Challenge
Exploration opportunities are often evaluated using different methodologies, assumptions, and data sources, making it difficult to consistently compare prospects, prioritize investments, and allocate capital across the portfolio.
How It Works
- Ingests prospect inventories, seismic-derived attributes and economics from both teams.
- ML normalises risking and ranks the combined set consistently.
- Publishes a ranked opportunity queue with sensitivity views.
What It Removes
- Two ranking methodologies in parallel
- Drill-or-drop set by legacy habit
- Cross-shelf comparisons unmade
Input Data RequirementsProspect inventories and risking data, seismic attributes, economic assumptions
Output FormatOne ranked combined prospect queue, consistency audit, sensitivities
“Every prospect from both shelves competes on the same basis for the same capital.”