"This study presents a Linear Regression Model approach for developing prediction equations for water-oil, gas-oil, gas-water and gas-condensate relative permeability from experimental data. The Linear Regression Model is one of several statistical methods available and has been chosen in this study to develop relationships between relative permeability and rock and fluid properties. The data for this study were obtained from published Society of Petroleum Engineers' literature as well as from several oil companies and individuals. Improved equations were developed for water-oil and gas-oil systems for varying formations, wettabilities and measurement methods. Additionally, original equations for gas-condensate and gas-water systems were formulated. Finally, the prediction equations are compared with previously published correlations"--Abstract, page iii.
Numbere, Daopu Thompson, 1951-
Cawlfield, Jeffrey D.
Barr, David J.
Geosciences and Geological and Petroleum Engineering
Ph. D. in Petroleum Engineering
University of Missouri--Rolla
xiv, 182 pages
© 1999 Mohamad Nasir Mohamad Ibrahim, All rights reserved.
Dissertation - Restricted Access
Petroleum -- Permeability -- Mathematical models
Enhanced oil recovery
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Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.http://merlin.lib.umsystem.edu/record=b4514977~S5
Mohamad Ibrahim, Mohamad Nasir, "Two-phase relative permeability prediction using a linear regression model" (1999). Doctoral Dissertations. 1370.
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