GA-Based Minimum Miscible Pressure Prediction

Abstract:

Article Preview

Minimum Miscible Pressure (MMP) is among key parameters to predict CO2 flooding performance during candidate reservoirs screening process. In this paper, key factors determining MMP are screened after investigation over previous researches, and then by seven samples of oil component, a reasonable empirical function is developed to predict MMP for reservoirs in China, of which coefficients are calculated by genetic algorithm (GA) to improve accuracy for further application. After comparison, it proves better prediction by new function than the ones already existed, which can be widely used for further MMP prediction for pilot reservoir in China.

Info:

Periodical:

Advanced Materials Research (Volumes 361-363)

Edited by:

Qunjie Xu, Honghua Ge and Junxi Zhang

Pages:

530-533

DOI:

10.4028/www.scientific.net/AMR.361-363.530

Citation:

S. Kun et al., "GA-Based Minimum Miscible Pressure Prediction", Advanced Materials Research, Vols. 361-363, pp. 530-533, 2012

Online since:

October 2011

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.