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Journal article

Development of an artificial neural network model for predicting minimum miscibility pressure in CO2 flooding

Abstract

This paper presents the development of an artificial neural network (ANN) model for the prediction of pure and impure CO2 minimum miscibility pressures (MMP) of oils. The pure CO2 MMP of a reservoir fluid (live oil) is correlated with the molecular weight of C5+ fraction, reservoir temperature, and concentrations of volatile (methane) and intermediate (C2–C4) fractions in the oil. The impure CO2 MMP factor, Fimp, is predicted by correlating the …

Authors

Huang YF; Huang GH; Dong MZ; Feng GM

Journal

Journal of Petroleum Science and Engineering, Vol. 37, No. 1-2, pp. 83–95

Publisher

Elsevier

Publication Date

February 2003

DOI

10.1016/s0920-4105(02)00312-1

ISSN

0920-4105