In this thesis, we examine the equation describing fluid flow through saturated porous medium in order to develop a new method for approximating hydraulic head values in the subsurface. In particular, we show that under reasonable assumptions, the local explicit equation (LEE) method, an accurate, finite-difference based method that is highly sensitive to changes in the assumed location of hydraulic flow parameters, can be used to approximate hydraulic head values throughout a subsurface domain of interest. This forward solution of the fluid flow equation is solved using an altered finite difference scheme, designed to account for discontinuous jumps often encountered between subsurface material types. While the method is able to handle complicated discontinuities arising from the intermingling of various underground materials, the method determines values at nodes on an easy-to-use uniform Cartesian grid and only requires information from immediately adjacent points. The results of this research directly support the development of more accurate subsurface fluid flow models for use in a wide variety of real-world situations in areas such as water management, contaminant remediation and waste storage. Furthermore, the general development of the LEE method allows it to be used as an approximation technique for any equation where the media of interest encounters a jump.
Dissertation
A finite-difference based approach to solving the subsurface fluid flow equation in heterogeneous media
University of Iowa
Doctor of Philosophy (PhD), University of Iowa
Spring 2011
DOI: 10.17077/etd.kbfbts1p
Free to read and download, Open Access
Abstract
Details
- Title: Subtitle
- A finite-difference based approach to solving the subsurface fluid flow equation in heterogeneous media
- Creators
- Benjamin Jason Galluzzo - University of Iowa
- Contributors
- Lihe Wang (Advisor)Kendall Atkinson (Committee Member)Victor Camillo (Committee Member)Palle Jorgensen (Committee Member)Yi Li (Committee Member) - University of IowaC Wei Li (Committee Member)
- Resource Type
- Dissertation
- Degree Awarded
- Doctor of Philosophy (PhD), University of Iowa
- Degree in
- Applied Mathematical and Computational Sciences
- Date degree season
- Spring 2011
- Publisher
- University of Iowa
- DOI
- 10.17077/etd.kbfbts1p
- Number of pages
- xi, 139 pages
- Copyright
- Copyright 2011 Ben Galluzzo
- Language
- English
- Description bibliographic
- Includes bibliographical references (pages 137-139).
- Academic Unit
- Interdisciplinary Graduate Program in Applied Mathematical & Computational Sciences
- Record Identifier
- 9983776832102771
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