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Parallel Reservoir Simulation Utilizing PC-Clusters in Massive Reservoir Simulation Models
11
Citations
8
References
2003
Year
Cluster ComputingEngineeringSimulation ModellingComputer ArchitectureSimulationHigh Performance ComputingSupercomputer ArchitectureSaudi FieldsReservoir EngineeringCurrently Saudi AramcoNumerical SimulationSystems EngineeringModeling And SimulationParallel ComputingSaudi AramcoMassively-parallel ComputingComputer EngineeringLarge-scale SimulationComputer ScienceReservoir SimulationReservoir ModelingComputational ScienceSimulation InfrastructureParallel ProgrammingReservoir ManagementMultiscale Modeling
Abstract For the last five years parallel reservoir simulation has enjoyed great interest at Saudi Aramco. Realism in modeling the fields in Arabia requires the use of massive simulation models. These massive models capture detailed geological heterogeneity at relatively fine resolution. In addition, some of these fields have been producing for the last 50 years and are expected to continue to produce for decades to come. Today, there are more than 20 massive simulation models ranging in size from 500,000 to 10 million cells and are routinely used in managing the Saudi fields. Models of this magnitude require sufficiently "massive" computational power in order to carry out simulation studies in efficient and reasonable time. Faced with the challenge of meeting computational requirements, we were motivated to find a cost effective computational platform. In this work, we report on our experience in investigating PC-Clusters for mega-cell reservoir simulation studies. Our investigation demonstrated that commodity off-the-shelf Xeon based PC-Clusters can deliver an exceptional performance at minimal investment in computing hardware and software. Up to 9.6 million cells model running for 50 years have been tested. Currently Saudi Aramco uses PC-Clusters for its simulation work at not more than 15% of the cost of traditional solutions using supercomputers.
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