Spatial-Temporal ARX Modeling and Optimization for Polymer Flooding
Joint Authors
Lei, Yang
Lu, Songlin
Chang, Peng
Yu-lei, Ge
Shu-rong, Li
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A new polymer flooding model based on spatial-temporal decomposition and autoregressive model with external input (ARX) (STDARX model) is proposed.
Karhunen-Loeve (K-L) decomposition is used to model the two-dimensional state parameters of reservoir (such as water saturation, pressure, and grid concentration).
The polymer injection concentration and time coefficient got from the decomposition are taken as the input and output information.
After being identified by least square method, the time iterative ARX models of all state variables are obtained, we build the ARX model among pressure, water saturation, grid concentration, and moisture content of production well, and identify it with recursive least-squares (RLS) method.
After combining the above two models, we get the STDARX model of polymer flooding.
The accuracy is proved by model with four injection wells and nine production wells through data which is obtained from mechanism model.
In order to enhance the polymer flooding oil recovery when oil price is changing, iterative dynamic programming (IDP) is applied to optimize the STDARX model, to get the optimal injection of production scheme.
American Psychological Association (APA)
Yu-lei, Ge& Shu-rong, Li& Lu, Songlin& Chang, Peng& Lei, Yang. 2014. Spatial-Temporal ARX Modeling and Optimization for Polymer Flooding. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1046403
Modern Language Association (MLA)
Yu-lei, Ge…[et al.]. Spatial-Temporal ARX Modeling and Optimization for Polymer Flooding. Mathematical Problems in Engineering No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1046403
American Medical Association (AMA)
Yu-lei, Ge& Shu-rong, Li& Lu, Songlin& Chang, Peng& Lei, Yang. Spatial-Temporal ARX Modeling and Optimization for Polymer Flooding. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1046403
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1046403