Masters Theses


Ali Waqar

Keywords and Phrases

Data Analytics; Enhanced Oil Recovery; Huff and Puff; Injection; Natural Gas; Unconventional


"Unconventional Enhanced Oil recovery, via the injection of natural gas has attracted great attention, as studies and projects have shown to be promising. An overview of pertinent studies has been carried out. Core Scale Laboratory Experiments, Core Scale Simulation, Field Scale simulation and pilot projects are analyzed. Data is collected for Core, Reservoir, Operational, and recovery information. Thereafter, Data analysis techniques are applied to identify data ranges, distributions, trends, relationships, and to eventually reach conclusions.

Huff and Puff injection is the preferred mode of injection, delivering most promising results for unconventional reservoirs. Across all the studies, with increase in amount of injected Gas volume and number of cycles, the Recovery factor is seen to increase. After reaching a maximum value, the Recovery factor tends to stabilize and becomes unresponsive to any further increase. For core experiments, core size is seen to be inversely related to the recovery factor. For field scale simulation, injecting above the bubble point pressure results in greater recovery, owing to greater gas absorption, oil swelling and viscosity reduction. In all the studies the formations and cores which have been investigated are mainly Eagle ford, Wolf camp, Bakken and Niobrara shale. During field Projects, Huff and Puff injection has proven to be successful, with promising results with no injection issues reported"--Abstract, page iii.


Bai, Baojun

Committee Member(s)

Wei, Mingzhen
Flori, Ralph E.


Geosciences and Geological and Petroleum Engineering

Degree Name

M.S. in Petroleum Engineering


Missouri University of Science and Technology

Publication Date

Spring 2020


xi, 75 pages

Note about bibliography

Includes bibliographic references (pages 71-74).


© 2020 Ali Waqar, All rights reserved.

Document Type

Thesis - Open Access

File Type




Thesis Number

T 11701

Electronic OCLC #