Title: Development index prediction of the early polymer flooding using SVM

Authors: Minfeng Chen; Lu Chen; Zhaoqi Wang; Qichen Zhang

Addresses: College of Petroleum Engineering, China University of Petroleum, Beijing, #18 Fuxue Road, Changping, Beijing, China ' College of Petroleum Engineering, China University of Petroleum, Beijing, #18 Fuxue Road, Changping, Beijing, China ' College of Petroleum Engineering, China University of Petroleum, Beijing, #18 Fuxue Road, Changping, Beijing, China ' College of Petroleum Engineering, China University of Petroleum, Beijing, #18 Fuxue Road, Changping, Beijing, China

Abstract: Field production data are generally nonlinear, small samples and even fuzzy. In order to predict dynamic production index accurately and immediately for early polymer flooding in Bohai oilfield, multi-step prediction model using support vector machine was established based on the idea of phase space reconfiguration of single variable time series. The built model was applied to run multi-step prediction on dynamic index, e.g. water cut and oil recovery factor, and the results showed the model had a good adaptive capacity and multi-step prediction performance, and provided an effective method to predict dynamic index of early polymer flooding in Bohai oil field.

Keywords: Bohai oilfield; early polymer flooding; support vector machines; SVM; dynamic production index; time series; multi-step prediction; prediction model; oil recovery factor; development index; China.

DOI: 10.1504/IJPE.2016.081760

International Journal of Petroleum Engineering, 2016 Vol.2 No.3, pp.182 - 190

Available online: 20 Jan 2017 *

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