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Uncertainty Analysis of a Giant Oil Field



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SPE 101474 Uncertainty Analysis of a Giant Oil Field in the Middle East Using Surrogate Reservoir Model Shahab D Mohaghegh West Virginia U Intelligent Solutions Inc Hafez Hafez ADCO Razi Gaskari WVU Masoud Haajizadeh ADCO and Maher Kenawy ADCO Copyright 2006 Society of Petroleum Engineers This paper was prepared for presentation at the 2006 Abu Dhabi International Petroleum Exhibition and Conference held in Abu Dhabi U A E 5 8 November 2006 This paper was selected for presentation by an SPE Program Committee following review of information contained in an abstract submitted by the author s Contents of the paper as presented have not been reviewed by the Society of Petroleum Engineers and are subject to correction by the author s The material as presented does not necessarily reflect any position of the Society of Petroleum Engineers its officers or members Papers presented at SPE meetings are subject to publication review by Editorial Committees of the Society of Petroleum Engineers Electronic reproduction distribution or storage of any part of this paper for commercial purposes without the written consent of the Society of Petroleum Engineers is prohibited Permission to reproduce in print is restricted to an abstract of not more than 300 words illustrations may not be copied The abstract must contain conspicuous acknowledgment of where and by whom the paper was presented Write Librarian SPE P O Box 833836 Richardson TX 75083 3836 U S A fax 01 972 952 9435 Abstract Simulation models are routinely used as a powerful tool for reservoir management The underlying static models are the result of integrated efforts that usually includes the latest geophysical geological and petrophysical measurements and interpretations As such these models carry an inherent degree of uncertainty Typical uncertainty analysis techniques require many realizations and runs of the reservoir simulation model In this day and age as reservoir models are getting larger and more complicated making



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