DocumentCode
2494966
Title
A new approach for history matching of oil and gas reservoir
Author
Miyoshi, S.C. ; Szwarcman, D.M. ; Vellasco, M.M.B.R.
Author_Institution
Electr. Eng. Dept., Pontifical Catholic Univ. of Rio de Janeiro (PUC-Rio), Rio de Janeiro, Brazil
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
8
Abstract
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.
Keywords
hydrocarbon reservoirs; principal component analysis; geostatistical constraint; geostatistical restrictions; history matching; kernel PCA; nonlinear characteristics; oil and gas reservoir; reservoir permeability field; History; Kernel; Permeability; Petroleum; Principal component analysis; Production; Reservoirs;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location
Barcelona
ISSN
1098-7576
Print_ISBN
978-1-4244-6916-1
Type
conf
DOI
10.1109/IJCNN.2010.5596789
Filename
5596789
Link To Document