Doctoral Dissertations

Keywords and Phrases

Criteria; EOR; Polymer; Prediction; Screening; Semantic

Abstract

"Enhanced oil recovery (EOR) processes produce oil that conventional methods leave behind, where interfacial forces, heavy oil viscosity, and reservoir heterogeneity make it difficult to produce. Many EOR methods are available but usually cannot be used at the same time for a candidate reservoir. Therefore, it is important to select the most appropriate EOR process from among the possible techniques. EOR screening criteria have been created using EOR datasets and serve as the first step to compare the suitability of each technique for a specific reservoir. Most of these datasets are based on field data collected from EOR surveys published in the Oil & Gas Journal and therefore are limited because they lack data from laboratory experiments and do not represent more recent research efforts. This project proposes a comprehensive study of data related to polymer flooding technology, from laboratory, pilot, and field applications. The project starts with intensive analysis of polymer flooding as a specified knowledge domain, extracting major concepts in the domain and data that can be generated from or by laboratory experiments, pilot and field applications. One of the goals of this project is to have easy access of polymer flooding techniques such a specialized domain to the public. Therefore, semantic modeling techniques are applied to construct semantic models based on the relations among the major concepts and measuring data. The models will also be published as one part of an ambition to build a semantic knowledge repository for EOR technologies. Then, laboratory data and pilot and field application data were collected and analyzed. Methodologies that can be applied to improve data quality have been studied and investigated; and screening criteria have been updated; and potential prediction methods based on the data we have are studied and investigated"--Abstract, page iv.

Advisor(s)

Bai, Baojun
Wei, Mingzhen

Committee Member(s)

Flori, Ralph E.
Dunn-Norman, Shari
Wen, Xuerong Meggie

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

Ph. D. in Petroleum Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2014

Pagination

xix, 167 pages

Note about bibliography

Includes bibliographic references (pages 149-166).

Rights

© 2014 Laila Dao Saleh, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11505

Electronic OCLC #

1104294143

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