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
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;
Conference_Titel :
Neural Networks (IJCNN), The 2010 International Joint Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-6916-1
DOI :
10.1109/IJCNN.2010.5596789
