Principal component analysis (PCA) based hybrid models for the accurate estimation of reservoir water saturation.
Solomon Asante-OkyereChuanbo ShenYao Ziggah YevenyoMercy Moses RulegeyaXiangfeng ZhuPublished in: Comput. Geosci. (2020)
Keyphrases
- accurate estimation
- principal component analysis
- hybrid models
- water supply
- water resources
- oil and gas industry
- oil field
- hybrid model
- principal components
- oil production
- dimensionality reduction
- independent component analysis
- neural network
- face recognition
- feed forward neural networks
- dimension reduction
- linear discriminant analysis
- water quality
- low dimensional
- feature extraction
- face images
- covariance matrix
- feature space
- lower dimensional
- artificial neural networks
- machine learning