Ultrafine-scale validation of upscaling techniques
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A combination technique of parallel simulation technology and upscaling algorithms is described. Based on our case studies, the results from the fine-scale model may appropriately be used to guide the upscaling procedure via a tuning procedure. This tuning procedure has been explored in the study to obtain results that are in close agreement with fine-scale simulation results. The combination of parallel simulation technology and upscaling algorithms can be used to provide a better estimation of the amount of uncertainty in predicted oil recovery for real fields. The concept of local global upscaling has been extended to include a technique that honors arbitrary faults in complex geological environments. Several single-phase upscaling techniques are applied to an analog Gulf of Mexico reservoir model and a synthetic model. For the Gulf of Mexico reservoir model, we obtained results that were in close agreement with coarsened models obtained from the parallel simulations using the fine-scale model. In this case, the CPU time of one simulation run with 20 years of production time was significantly reduced from 22 hours, using a PC cluster with 8 processors computer, to 2 minutes, a single processor, applying upscaling methods. For the synthetic model, the agreement between coarse-scale model and the fine-scale model using the same upscaling method is within engineering accuracy. Copyright 2005, Society of Petroleum Engineers.
author list (cited authors)
Wang, K., Sepehrnoori, K., & Killough, J. E.