Production optimization: 25,000 scenarios, $52.5M annual margin

Problem

A major upstream operator was leaving margin on the table across a complex production network. Reservoir, surface, market, and economic decisions were being made on different timescales and in different tools — no single view could evaluate trade-offs at scale.

Approach

R2 built a physics-based optimization layer on top of the operator’s existing reservoir, surface, and economic models. RTOP combined those models with operational data and AI-driven analysis, generated 25,000 candidate operating scenarios, ran simulations across them, and surfaced the highest-margin path under realistic uncertainty constraints.

Result

The recommended operating strategy increased annual margin by $52.5M — a defensible, scenario-tested decision that the operator could carry into the next planning cycle and audit afterward.