Know the reservoir

Your asset

Delivering outstanding value

Resoptima solutions are designed to help our customers be the best custodians of their assets, making optimal use of capital and resources to achieve better recovery factors and improved flow rates while paying the utmost attention to health, safety and environmental concerns.

Reservoir performance

Reservoir performance

Too often, unexpected events occur over the life cycle of a reservoir that take an operator by surprise. Whether it is a sudden pressure drop, a water breakthrough or an infill well that finds poor reservoir properties, it is a clear indication that the model used to drill the producer and injection wells and to forecast production was flawed. 

Resoptima offers a radically new approach to reduce risks and avoid costly surprises in the future. Ensemble-based modeling recognizes that a single model cannot represent the many possible ways a reservoir can be understood based on the existing static and dynamic data. 

Asset strategy

Asset strategy

Resoptima has developed the very tools you need to deliver on your commitments to stakeholders. Nowadays the focus is on sustaining or increasing production for existing assets, given the lower risk tolerance and shorter timeframe for a return on investment. The expectation is that the asset strategy will be executed on time and within budget, and that it will deliver the predicted economic upside. 

Resource optimization

Resource optimization

Operators oversee a diverse portfolio of assets in different regions, onshore or offshore, oil or gas, greenfield to brownfield. As commodity markets change so do the priorities for allocating resources to achieve an optimal economic return. Portfolio management must also take into account commitments to partners and government regulators.
Resoptima solutions excel at building an articulate and robust business case for each proposal to commit resources to a given asset.

Repeatable results

Repeatable results

Ensemble-based modeling removes most of the bias from the process, and therefore the execution of workflows will produce a similar result every time, irrespective of which team operates the software.

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