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A simulation and data analysis system for large‐scale, data‐driven oil reservoir simulation studies
Author(s) -
Kurc Tahsin,
Catalyurek Umit,
Zhang Xi,
Saltz Joel,
Martino Ryan,
Wheeler Mary,
Peszyńska Małgorzata,
Sussman Alan,
Hansen Christian,
Sen Mrinal,
Seifoullaev Roustam,
Stoffa Paul,
TorresVerdin Carlos,
Parashar Manish
Publication year - 2005
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.898
Subject(s) - safer , reservoir simulation , computer science , scale (ratio) , data management , software , production (economics) , volume (thermodynamics) , simulation modeling , petroleum engineering , industrial engineering , data mining , engineering , quantum mechanics , physics , computer security , macroeconomics , microeconomics , economics , programming language
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.