

Storra’s technology is built around an ensemble-based engine that runs thousands of reservoir and geomechanical simulations. We blend full 3D numerical models with lower-fidelity physics-informed surrogates to rapidly quantify the uncertainty in your reservoir. Each ensemble explores different geological scenarios and operational schedules to quantify storage risks related to containment, capacity and injectivity.
Every operator faces different risks, from containment assurance to maximising capacity or injectivity. From each ensemble, our Monitoring Evaluator calculates how much each monitoring strategy reduces uncertainty in multiple project risks. By combining information theory, site-specific constraints, and regulatory priorities, it delivers a clear measure of value for each monitoring option, enabling objective and defensible choices.


Our Monitoring Optimiser evaluates thousands of , optimising for the greatest risk reduction per unit cost. As new data becomes available during operation, history matching algorithms refine the geological model, allowing the monitoring plan to adapt continuously and stay optimised.
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