The Effect Prediction of Profile Control Measures with the SVM

Author

Yuan, Shi-Bao ; Wang, Li ; Jiang, Hai-Yan

Author_Institution

Coll. of Marine Earth Sci., Ocean Univ. of China, Qingdao, China

Volume

1

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

915

Lastpage

917

Abstract

Aiming at the drawbacks of numerical simulation in the effect prediction of profile control, and by using the support vector machine method, this paper studies and predicts the 32 wells samples of DONGXIN block, on which the profile control is carried out. And in a reasonable range, the sample´s density of some factors is locally refined and the critical value of the factor is discussed. It is indicated that the results predicted with SVM method match the actual data very well. Compared with the results of numerical simulation, the precision of SVM is higher than that of reservoir numerical simulation.

Keywords

control engineering computing; oil technology; petroleum industry; production engineering computing; support vector machines; DONGXIN block; SVM; critical factor value; oil production; profile control measure; reservoir numerical simulation; support vector machine; Automation; Electronic mail; Geologic measurements; Kernel; Marine technology; Numerical simulation; Petroleum; Sea measurements; Statistical learning; Support vector machines; Support Vector Machine (SVM); effect prediction; profile control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Conference_Location

Changsha, Hunan

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.228

Filename

5287524