Doctoral Dissertations


"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.


Koederitz, Leonard

Committee Member(s)

Numbere, Daopu Thompson, 1951-
Dunn-Norman, Shari
Cawlfield, Jeffrey D.
Barr, David J.


Geosciences and Geological and Petroleum Engineering

Degree Name

Ph. D. in Petroleum Engineering


University of Missouri--Rolla

Publication Date

Fall 1999


xiv, 182 pages

Note about bibliography

Includes bibliographical references (pages 168-181).


© 1999 Mohamad Nasir Mohamad Ibrahim, All rights reserved.

Document Type

Dissertation - Restricted Access

File Type




Subject Headings

Petroleum -- Permeability -- Mathematical models
Regression analysis
Enhanced oil recovery

Thesis Number

T 7668

Print OCLC #


Electronic OCLC #


Link to Catalog Record

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