With multi-processor cluster computing, modular stochastic workflows and a dedicated project team, the turn-around time for project execution has been significantly reduced. Using these concepts, it is now possible to conduct integrated studies successively in a continuous chain of studies, as if they were on a conveyor belt. For example, field development planning studies for ten reservoirs, some with history of more than 20 years have been generated within one year.

The three main enabling technologies for the rapid execution of integrated studies are cluster computing and unique modular workflows that are based on stochastic concepts.

Clusters have been deployed because of its established advantage in improving performance which in this case translates into a significant reduction in simulation times. A modular workflow enables the various tasks in an integrated study to be assigned to project team members, facilitates the flow of task outcomes between project team members and creates enormous flexibility during project execution by permitting tasks to be swapped between members. Furthermore, introducing statistical methods to data handling, history-matching and risk analysis streamlines the activities and reduces the turn-around time for the various tasks.

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