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The Big Loop™ Solution

Obtain a better understanding of the reservoir model and more reliable estimations of reserves in order to make better informed decisions.

Turning information into value

Reliably Forecast Your Reservoir Production

How do you ensure that decisions are based on the latest and best possible understanding of the reservoir?  Based on automated workflows from depth conversion to flow simulation and up to date information about the reservoir, Big Loop™ is a solution that tightly integrates static and dynamic domains, ensuring that all reservoir uncertainties are captured and used as input parameters to the reservoir simulator. This leads to a better understanding of the reservoir model, more reliable estimations of reserves, as well as better informed decisions for future development scenarios.

How It Works

To help reduce the time and resources spent on the modeling process, we support evergreen workflows, which are fully repeatable and allow easy model updates with the arrival of new data.

Seismic interpretation and depth conversion are traditionally locked early in the modeling process. Any updates and changes are usually time consuming and manual. The consequence is that both time and resources are used for repeating the modeling process.

Our solution provides efficient model updates, with robust updates of the velocity model and the corresponding structural model.

We help operators set up repeatable and automated workflows that are easy to update and where uncertainty can be accounted for at any level. 

Move from the traditional approach of defining one base case with hand-selected scenarios to combining a statistically most likely case scenario through an ensemble-based approach supporting models with changeable geometries. The value of an ensemble modeling approach is that uncertainties can be easily propagated from where they apply to where they matter. Knowing the uncertainties helps you make better decisions. 

To align assets and increase efficiencies, we support a collaborative approach between disciplines, with a shared responsibility for the modeling tasks.

In traditional approaches each domain is usually solely responsible for their tasks. This represents a risk of domain-specific goals that may have limited value for the end goals.

In a collaborative environment, asset members contribute in the same timeframe to a shared framework, from seismic to simulation. A common understanding of the reservoir reduces the risk of delays and supports the decision-making process.

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Updating Structural Models Under Uncertainty

The last few years have seen significant advances in reservoir modeling technology, aiming at removing some of the critical bottlenecks in underlying work processes. 

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