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