Masters Theses

Author

Jiaqi Wang

Abstract

"Shale gas resource plays a significant role in energy supply worldwide. For economic production of shale gas, technologies of horizontal well and hydraulic fracturing are used for shale gas reservoirs. Therefore, the productivity of the shale gas reservoirs will be influenced by both reservoir condition, and hydraulic fracture properties.

In this thesis, parameters that will influence shale gas production were classified into two categories: reservoir properties and hydraulic fracture properties. Published shale gas simulation studies were surveyed for determining the typical ranges of those properties. CMG-GEM was employed to finish the reservoir simulation work, and CMG-CMOST was used to complete the sensitivity analysis work.

A three dimensional single phase dual-permeability shale gas reservoir model was created. Three flow mechanisms (Darcy flow, Non-Darcy flow, and Gas diffusion) as well as gas adsorption and desorption mechanism were considered in this model.

Sensitivity checks for each parameter were performed to analyze the effect of factors to forecast the production of shale gas reservoir. Influences of reservoir and hydraulic fracture parameters for different time periods were quantified by simulation of 1 yr., 5 yr., 10 yr., and 20 yr. production"--Abstract, page iii.

Advisor(s)

Wei, Mingzhen

Committee Member(s)

Bai, Baojun
Dunn-Norman, Shari

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

M.S. in Petroleum Engineering

Publisher

Missouri University of Science and Technology

Publication Date

Spring 2014

Pagination

xiv, 66 pages

Note about bibliography

Includes bibliographical references (pages 64-65).

Rights

© 2014 Jiaqi Wang, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Petroleum reserves -- Computer simulation
Shale gas
Shale gas reservoirs
Hydraulic fracturing
Sensitivity theory (Mathematics)
Oil reservoir engineering -- Mathematical models

Thesis Number

T 10487

Electronic OCLC #

882552975

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