Doctoral Dissertations

Yue Qiu

Abstract

“Water production is a severe worldwide issue in mature oilfields, which results in shortening the economic life of oil and gas wells. Particle gel have been widely applied in mature oilfields to improve reservoir sweep efficiency and control water production. To date, more than 10,000 injection wells were successfully treated by particle gels. However, considerable uncertainty still exists regarding to where and how particle gel treatments can be best applied.

The main objective of this study is to provide application guidelines and prediction model for particle gel treatments through data analysis. In this study, four particle gel treatment datasets have been constructed based on 206 PPG experiments, 80 microgel experiments, 678 PPG-treated injection wells, and 154 microgel-treated injection wells. The data from laboratory experiments were analyzed to understand the mechanisms of particle gel treatments. Descriptive statistical analysis and regression analysis were applied to analyze field application data. The results showed that a large volume of particle gel injection with a low concentration was often used for successful treatments. The treated volume highly depended on the daily water production rate. Incremental oil production increased with the amount of injected particles and the better treatment efficiency always came from the injection wells with offset production wells having a higher liquid production rates. Additionally, a prediction model was built based on regression analysis to predict the incremental oil production for particle gel treatments in oilfields. Overall, this study provides valuable insight into particle gel treatment design and serves as a guide for PPG applications in the mature oilfields”--Abstract, page iii.

Advisor(s)

Wei, Mingzhen

Committee Member(s)

Bai, Baojun
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

Spring 2017

Pagination

xiii, 157 pages

Note about bibliography

Includes bibliographic references (pages 144-156).

Rights

© 2017 Yue Qiu, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Thesis Number

T 11815

Electronic OCLC #

1300808195

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