Modern upstream oil and gas operations are increasingly complex, with drilling, completions, production, facilities, and commercial objectives deeply interconnected. Small disruptions can cascade across schedules, resources, and business performance, yet traditional planning approaches often lack the flexibility to manage these dependencies effectively.

This session explores how DSO enables rapid scenario prototyping and sharper operational decision-making. Rather than relying on static plans, operators can quickly generate, test, and refine multiple scenarios to understand tradeoffs across the value chain. User-defined key performance indicator (KPI) frameworks let teams compare options against their own priorities, whether production, capital efficiency, timing, or risk.

Real-world examples illustrate how upstream operators are using these capabilities to improve planning agility, with a closing look at emerging trends in more flexible, user-driven integrated planning.