Large-scale Expensive Black-Box Function Optimization

被引:0
作者
Rashid, Kashif [1 ]
Bailey, William [1 ]
Couet, Benoit [1 ]
机构
[1] Schlumberger Doll Res Ctr, Uncertainty, Risk & Optimizat, Cambridge, MA 02139 USA
来源
NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2012), VOLS A AND B | 2012年 / 1479卷
关键词
Optimization; radial basis function; expensive; simulation; proxy; GLOBAL OPTIMIZATION; ALGORITHMS;
D O I
10.1063/1.4756351
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper presents the application of an adaptive radial basis function method to a computationally expensive black-box reservoir simulation model of many variables. An iterative proxy-based scheme is used to tune the control variables, distributed for finer control over a varying number of intervals covering the total simulation period, to maximize asset NPV. The method shows that large-scale simulation-based function optimization of several hundred variables is practical and effective.
引用
收藏
页码:1143 / 1146
页数:4
相关论文
共 10 条
[1]  
[Anonymous], 1992, ADV NUMERICAL ANAL
[2]   Using neural networks to speed up optimization algorithms [J].
Bazan, M ;
Russenschuck, S .
EUROPEAN PHYSICAL JOURNAL-APPLIED PHYSICS, 2000, 12 (02) :109-115
[3]  
Couet B., 2010, SPE PROD OP C TUN TU
[4]  
Eclipse, 2006, RES SIM REF MAN
[5]   A radial basis function method for global optimization [J].
Gutmann, HM .
JOURNAL OF GLOBAL OPTIMIZATION, 2001, 19 (03) :201-227
[6]   An adaptive radial basis algorithm (ARBF) for expensive black-box global optimization [J].
Holmstrom, Kenneth .
JOURNAL OF GLOBAL OPTIMIZATION, 2008, 41 (03) :447-464
[7]   Kriging: A useful, tool for electromagnetic device optimization [J].
Lebensztajn, L ;
Marretto, CAR ;
Costa, MC ;
Coulomb, JL .
IEEE TRANSACTIONS ON MAGNETICS, 2004, 40 (02) :1196-1199
[8]   Results of the Brugge Benchmark Study for Flooding Optimization and History Matching [J].
Peters, E. ;
Arts, R. J. ;
Brouwer, G. K. ;
Geel, C. R. ;
Cullick, S. ;
Lorentzen, R. J. ;
Chen, Y. ;
Dunlop, K. N. B. ;
Vossepoel, F. C. ;
Xu, R. ;
Sarma, P. ;
Alhutali, A. H. ;
Reynolds, A. C. .
SPE RESERVOIR EVALUATION & ENGINEERING, 2010, 13 (03) :391-405
[9]  
Rashid K., 2012, J ENG OPTIMIZATION
[10]   Stochastic radial basis function algorithms for large-scale optimization involving expensive black-box objective and constraint functions [J].
Regis, Rommel G. .
COMPUTERS & OPERATIONS RESEARCH, 2011, 38 (05) :837-853