4 min readModeling CCS Development Concepts in Europe: Insights from IGME-CSIC's PilotSTRATEGY Project
Carbon capture and storage (CCS) projects in Europe sit at the intersection of policy pressure, capital intensity, and technical uncertainty. For executives, the challenge isn’t access to data—it’s confidence in which development concept to fund, scale, and defend.
In this session, Alejandro Ferreira Bruno, Senior Solution Architect at Quorum Software, and Paula Canteli of IGME, share how the PilotSTRATEGY project approaches CCS development through structured modeling and scenario evaluation.
Watch the webinar to explore the full discussion.
Moving from Concept Uncertainty to Decision-Ready Scenarios
CCS development rarely starts with a single clear path forward. Multiple storage concepts, infrastructure configurations, and timelines compete for investment. Without a structured way to compare them, decisions slow down—or worse, move forward without full visibility.
The webinar highlights how scenario-based modeling brings discipline to this early-stage complexity. Instead of evaluating options in isolation, teams can assess development concepts side by side, using consistent assumptions and measurable outputs. When scenarios are structured and comparable, executives gain a clearer view of trade-offs—supporting faster approvals and stronger investment rationale.
Connecting Technical Complexity to Strategic Outcomes
One of the most persistent barriers in CCS development is fragmentation. Subsurface models, infrastructure planning, and economic evaluation often live in separate workflows, owned by different teams.
That disconnect creates risk at the executive level. Decisions depend on how well technical inputs translate into financial outcomes.
By bringing these elements together in a unified modeling environment, organizations can directly link reservoir behavior, storage capacity, and infrastructure design to project economics. Integrated modeling turns technical detail into business clarity—giving leadership a direct line of sight from subsurface assumptions to ROI.
“CCS projects are like a high-speed rail network… you need the train, the tracks, and the station—and all of them have to be finished at the same time.”
Turning Pilot Insights Into Scalable CCS Strategy
PilotSTRATEGY demonstrates that early-stage projects are more than proofs of concept—they are the foundation for scalable CCS programs.
What matters is not just the data generated, but how that data is structured, tested, and translated into repeatable development frameworks. Modeling plays a central role here. It allows teams to stress-test assumptions, refine development pathways, and build a consistent approach that can be applied across future sites. Scalability in CCS starts with disciplined modeling. What works at the pilot stage must translate into a repeatable strategy for broader deployment.
What This Means for CCS Investment Decisions
For executive teams, the implications are direct:
- Faster screening of development concepts
- Reduced uncertainty in early-stage planning
- Stronger alignment between technical and commercial stakeholders
- Greater confidence in capital allocation decisions
This is where modeling shifts from a technical exercise to a strategic capability. It becomes the foundation for making informed, defensible investment decisions in a rapidly evolving energy landscape.
Structured, Decision-Ready Modeling
The webinar reflects how Quorum’s PetroVR supports CCS development through structured, decision-ready modeling. As an integrated, object-based simulation platform, PetroVR connects subsurface, wells, facilities, and economic inputs within a single environment—linking technical decisions directly to financial outcomes.
Teams can model and compare multiple development scenarios within a consistent framework, applying constraints, rules, and execution strategies to reflect real-world operations. This improves visibility into risks and trade-offs while enabling transparent tracking of assumptions and scenario changes.
Manual, spreadsheet-driven workflows are replaced with scenario-based simulation and probabilistic analysis, accelerating concept screening and iteration.
What was once limited confidence in early-stage investment decisions becomes structured, transparent modeling, enhancing decision quality and building trust in outcomes at the executive level.
Clarity Drives Confidence in CCS strategy
CCS investment decisions demand more than technical validation—they require confidence across uncertainty, scale, and long-term value.
The approach highlighted in this webinar shows how structured modeling can turn complexity into clarity, helping organizations move from concept to commitment with greater speed and certainty.
Ready to see how PetroVR can support your asset planning process?
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