The Design of New Soft Sensors Based on PCA and a Neural Network for Parameters Estimation of a Petroleum Reservoir-Reference-Cited by-同舟云学术

The Design of New Soft Sensors Based on PCA and a Neural Network for Parameters Estimation of a Petroleum Reservoir

Published:2012-11-15 Issue:22 Volume:30 Page:2294-2305
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Alaei H. Komari,Salahshoor K.

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

http://www.tandfonline.com/doi/pdf/10.1080/10916466.2010.512899

Reference13 articles.

1. Gertler, J. and Avoy, T. Principal component analysis and parity relations: A strong duality. IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS. Hull, England.

2. An improved PCA scheme for sensor FDI: Application to an air quality monitoring network

3. A Use's Guide to Principal Components

4. Control Procedures for Residuals Associated With Principal Component Analysis

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