Doctoral Dissertations

Abstract

"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.

Advisor(s)

Koederitz, Leonard

Committee Member(s)

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

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

Ph. D. in Petroleum Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 1999

Pagination

xiv, 182 pages

Note about bibliography

Includes bibliographical references (pages 168-181).

Rights

© 1999 Mohamad Nasir Mohamad Ibrahim, All rights reserved.

Document Type

Dissertation - Restricted Access

File Type

text

Language

English

Library of Congress Subject Headings

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

Thesis Number

T 7668

Print OCLC #

45965446

Electronic OCLC #

945979153

Link to Catalog Record

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://laurel.lso.missouri.edu/record=b4514977~S5

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