Solution

Concept Select

Concept Select

Exploring the Full Option Space with AI
Exploring the Full Option Space with AI
Screenshot of computer simulation
Screenshot of computer simulation

From a handful of options to the full development space - strengthening Concept Select decisions with clarity and confidence.

Client(s)

Shell

Sector

Oil & Gas

Challenge

Field Development

Decision lens

Frontend Project Design

Product

-

Geography

Europe

The challenge

The challenge

Concept Select is one of the most critical stages in field development. At this point, operators commit to a development path that shapes billions in CAPEX, long-term recovery, and project risk.


Traditionally, Concept Select studies evaluate only a handful of options against limited uncertainties. This narrow view risks missing opportunities for co-development, overlooking dependencies between choices, and creating alignment challenges when stakeholders are asked to commit with only partial visibility.


For Shell, the challenge was to evaluate integrated development concepts under a wide range of uncertainties – from production profiles and oil price scenarios to discount rates and brownfield integrity – while testing the robustness of those concepts against risks such as schedule delays, cost escalation, ullage, and end-of-field-life constraints.

Concept Select is one of the most critical stages in field development. At this point, operators commit to a development path that shapes billions in CAPEX, long-term recovery, and project risk.


Traditionally, Concept Select studies evaluate only a handful of options against limited uncertainties. This narrow view risks missing opportunities for co-development, overlooking dependencies between choices, and creating alignment challenges when stakeholders are asked to commit with only partial visibility.


For Shell, the challenge was to evaluate integrated development concepts under a wide range of uncertainties – from production profiles and oil price scenarios to discount rates and brownfield integrity – while testing the robustness of those concepts against risks such as schedule delays, cost escalation, ullage, and end-of-field-life constraints.

Solution

We deployed our AI-assisted Concept Select approach to systematically explore the full space of conceptual design choices. This included decisions such as standalone vs. tie-back development, the number of wells, pipeline sizing, and whether to include CO₂ removal.


The tool generated thousands of concept combinations, applied technical rules and dependencies (e.g. tie-back configurations limiting water-handling choices), and evaluated each against key metrics: cumulative production, NPV, cashflow, and unit development cost. Uncertainties were fully modelled through probabilistic ranges, enabling users to see how concepts performed across multiple future scenarios rather than just in single-point cases.


Deliverables included not just the quantitative comparisons but also clear documentation and visualisations – supporting decision-making, partner dialogue, and regulatory engagement with full transparency.

Results

Full visibility of the option space

systematic evaluation of concepts across the complete range of subsurface and economic uncertainties.

Robustness under risk

trade-offs revealed under risks such as schedule, cost escalation, ullage limits, brownfield constraints, and late-life reliability.

Decision confidence

a structured, data-driven basis for Shell leadership, partners, and regulators to align on the development path with clarity and conviction.

Results

Full visibility of the option space

systematic evaluation of concepts across the complete range of subsurface and economic uncertainties.

Robustness under risk

trade-offs revealed under risks such as schedule, cost escalation, ullage limits, brownfield constraints, and late-life reliability.

Decision confidence

a structured, data-driven basis for Shell leadership, partners, and regulators to align on the development path with clarity and conviction.

Results

Full visibility of the option space

systematic evaluation of concepts across the complete range of subsurface and economic uncertainties.

Robustness under risk

trade-offs revealed under risks such as schedule, cost escalation, ullage limits, brownfield constraints, and late-life reliability.

Decision confidence

a structured, data-driven basis for Shell leadership, partners, and regulators to align on the development path with clarity and conviction.

Related solutions

    CO2 Transport & Storage Resilience

    WhiteSpace is supporting a leading carbon storage operator in assessing the robustness of its end-to-end CO2 logistics chain. By combining probabilistic simulation and scenario analysis, the project quantifies buffer capacity, vessel flexibility, and delivery risk under real-world uncertainty — providing a foundation for future operational optimisation.

    See solution

    CO2 Transport & Storage Resilience

    WhiteSpace is supporting a leading carbon storage operator in assessing the robustness of its end-to-end CO2 logistics chain. By combining probabilistic simulation and scenario analysis, the project quantifies buffer capacity, vessel flexibility, and delivery risk under real-world uncertainty — providing a foundation for future operational optimisation.

    See solution

    Cessation of Production Strategy

    Balancing life-cycle value and cost trade-offs with transparent, scenario-based planning for plug and abandonment.

    See solution

    Cessation of Production Strategy

    Balancing life-cycle value and cost trade-offs with transparent, scenario-based planning for plug and abandonment.

    See solution

    Plug & Abandonment Planning

    Optimising rigs, pulling units, and schedules to maximise wells abandoned before CoP - with flexibility to adapt as conditions change.

    See solution

    Plug & Abandonment Planning

    Optimising rigs, pulling units, and schedules to maximise wells abandoned before CoP - with flexibility to adapt as conditions change.

    See solution

    3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.

    AIM Well Planning

    From weeks of manual design to clear options in under an hour — giving teams time to focus on value, not drafting.

    See solution

    3D visualization of well trajectories shown as curved pink lines across a grid, illustrating subsurface drilling paths and target points.

    AIM Well Planning

    From weeks of manual design to clear options in under an hour — giving teams time to focus on value, not drafting.

    See solution

Want to learn more about this solution? Get in touch and ask for a demo.

Want to learn more about this solution? Get in touch and ask for a demo.

Want to learn more about this solution? Get in touch and ask for a demo.

Want to learn more about this solution? Get in touch and ask for a demo.