Two-Phase Relative Permeability Prediction using a Linear Regression Model
Abstract
In the absence of laboratory measured data or in the case when a more general representation of fluid flow in a reservoir is needed, empirical relative permeability correlations become useful. These correlations will also apply to simulation studies which require adjustments to the relative permeability values to account for grid effects. A linear regression model approach is employed to develop prediction equations for water-oil, gas-oil, gas-water, and gas-condensate relative permeability from experimental data. Use of the SPE CD-ROM has allowed a rapid and thorough data retrieval for this study; 416 sets of relative permeability data were obtained from published literature and various industry sources. Improved equations were developed for water-oil and gas-oil systems based on formation type and wettability. Additionally, general equations for gas-condensate and gas-water systems were formulated. Craig's rule for determining the rock wettability has been modified to cover a wider range of relative permeability data currently available. Available data has increased significantly since the last published work in this area. The prediction equations are compared with previously published correlations where possible.
Recommended Citation
M. N. Mohamad Ibrahim and L. Koederitz, "Two-Phase Relative Permeability Prediction using a Linear Regression Model," SPE Eastern Regional Conference Proceedings, pp. 111 - 121, Society of Petroleum Engineers, Dec 2000.
Department(s)
Geosciences and Geological and Petroleum Engineering
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Society of Petroleum Engineers, All rights reserved.
Publication Date
01 Dec 2000
