Title :
Modeling of Oil and Water Migration Based on Support Vector Machine
Author :
Tian, Jingwen ; Feng, Qian
Author_Institution :
Dept. of Autom. Control, Beijing Union Univ., Beijing
Abstract :
An actual physical simulation model was constructed to simulate the course of oil and water migration. Under certain physical property conditions, we simulated the water injection well and the oil well on the physical simulation model, and continuous measured online the oil and water content of different area of model in three-dimensional space using the 512 routes resistivity measuring circuit, then we can obtain large numbers of simulation samples. Considering the issues that the relationship between the remaining oil and every parameters of water displacing oil is a complicated and nonlinear, the support vector machine (SVM) was used to establish the oil and water migration model. Moreover, we propose a self-adaptive parameter adjust iterative algorithm to confirm SVM parameters. The experimental results show that this method is feasible and effective.
Keywords :
chemical engineering computing; iterative methods; petroleum industry; support vector machines; SVM; iterative algorithm; oil migration; oil well; self-adaptive parameter; support vector machine; three-dimensional space; water injection well; water migration; Area measurement; Circuit simulation; Computational modeling; Costs; Economic forecasting; Petroleum; Production; Risk management; Support vector machines; Water; modeling; oil water migration; support vector machine;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.95