Masters Theses
Abstract
"Numerical modeling methods such as the widely used finite element method provide an excellent opportunity to analyze the wellbore state of stress for a variety of applications such as wellbore integrity, wellbore design or hydraulic fracturing. However, numerical modeling methods introduce errors by nature and may not precisely match the analytical solution if the meshing of the numerical model is not carefully taken care of. This study presents a parametric study of the meshing parameters mesh density, element type, and model size for 2-dimensional and 3-dimensional vertical wellbore models under three different types of boundary conditions, and a guideline for mesh optimization is provided. The implications of the accuracy of numerical modeling results are shown by calculating the safe mud weight window for different stress regimes for a non-optimized wellbore mesh and an optimized mesh. Utilizing a non-optimized mesh for well bore stress analysis may lead to a significant misinterpretation of the minimum usable mud weight and borehole collapse may result. Exemplary cases of well bore stability during drilling and well bore integrity of CO₂ sequestration in a generic anticline structure have been studied with the optimized 3-D wellbore model"--Abstract, page iii.
Advisor(s)
Eckert, Andreas
Nygaard, Runar
Committee Member(s)
Flori, Ralph E.
Department(s)
Geosciences and Geological and Petroleum Engineering
Degree Name
M.S. in Petroleum Engineering
Publisher
Missouri University of Science and Technology
Publication Date
Fall 2011
Pagination
x, 72 pages
Note about bibliography
Includes bibliographical references (pages 68-71).
Rights
© 2011 Ming-Yen Lee, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Finite element methodStress concentration -- Mathematical modelsWells
Thesis Number
T 9933
Print OCLC #
795522001
Electronic OCLC #
914467533
Recommended Citation
Lee, Ming-Yen, "Mesh optimization of finite element models of wellbore stress analysis" (2011). Masters Theses. 4138.
https://scholarsmine.mst.edu/masters_theses/4138