A new approach for History Matching of Oil and Gas Reservoir

被引：0
作者：
Miyoshi, S. C. [1 ]
Szwarcman, D. M. [1 ]
Vellasco, M. M. B. R. [1 ]
机构：
[1] Pontif Catholica Univ Rio de Janeiro PUC Rio, Dept Elect Engn, Rio De Janeiro, RJ, Brazil
来源：
2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010 | 2010年
关键词：
ALGORITHM;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work proposes a new approach for history matching using Kernel PCA to adjust the reservoir permeability field obeying geostatistical constraint. Although there are several methodologies in literature for history matching, most of them don't take into account geostatistical restrictions. Besides, history matching is a problem of huge dimensionality. So, Kernel PCA was chosen due to its ability to compress and accurately reconstruct data in addition to being able to extract non-linear characteristics.
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页数：8
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