A simulation and data analysis system for large‐scale, data‐driven oil reservoir simulation studies
Tahsin Kurç, Ümit V. Çatalyürek, Xi Zhang, Joel Haskin Saltz, Ryan Martino, Mary F. Wheeler, Małgorzata Peszyńska, Alan Sussman, Christian Skodborg Hansen, Mrinal Kanti Sen, Roustam K. Seifoullaev, Paul L. Stoffa, Carlos Torres‐Verdín, Manish Parashar · Concurrency and Computation Practice and Experience · 2005
Abstract The main goal of oil reservoir management is to provide more efficient, cost‐effective and environmentally safer production of oil from reservoirs. Numerical simulations can aid in the design and implementation of optimal production strategies. However, traditional simulation‐based approaches to optimizing reservoir management are rapidly overwhelmed by data volume when large numbers of realizations are sought using detailed geologic descriptions. In this paper, we describe a software architecture to facilitate large‐scale simulation studies, involving ensembles of long‐running simulations and analysis of vast volumes of output data. Copyright © 2005 John Wiley & Sons, Ltd.