Investigating the use of NMR to estimate hydraulic conductivity in near-surface materials
Abstract/Contents
- Abstract
- Nuclear magnetic resonance (NMR) is a useful tool for characterizing groundwater resources. NMR measures the total amount of water and gives an estimate of the pore size in water containing geological materials. In the last several decades, NMR has been used more often to characterize groundwater resources, but most of these methods are based on relationships developed by the petroleum industry. This thesis studies how NMR can be used to estimate how easily water flows through porous materials. At the field scale, this thesis investigates how NMR can estimate the hydraulic conductivity (K). At the lab scale, this thesis investigates the use of NMR to study fluid flow at the pore scale. At the field scale, borehole NMR logging data was collected at two sites in a glacial aquifer in Wisconsin to investigate how well NMR data can estimate K. This study established NMR as a method for estimating K in a glacial aquifer in Wisconsin. Estimating K with NMR requires empirical calibration to estimate K accurately. How well other NMR calibrations and methods for estimating K is determined, and an optimal calibration is presented. At the laboratory scale, different NMR experiments are used to study how easily water flows through a porous material. Computational simulations are used to interpret the laboratory NMR data. The work done in this study demonstrates that certain NMR experiments can estimate parameters related to fluid flow useful for groundwater management. The research presented in this thesis focused on how to best estimate K with NMR, and how to characterize fluid flow at the pore scale. The research done investigating how well NMR estimates K at the field scale will improve how K is estimated with NMR in the future. This thesis also shows that different NMR experiments at the laboratory scale can estimate parameters relevant for groundwater management. This thesis demonstrates that NMR is a valuable tool for characterizing groundwater resources in the near surface. .
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2021; ©2021 |
| Publication date | 2021; 2021 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Kendrick, Alexander Kent |
|---|---|
| Degree supervisor | Knight, Rosemary (Rosemary Jane), 1953- |
| Thesis advisor | Knight, Rosemary (Rosemary Jane), 1953- |
| Thesis advisor | Nishimura, Dwight George |
| Thesis advisor | Song, Yi-Qiao |
| Thesis advisor | Vanorio, Tiziana |
| Degree committee member | Nishimura, Dwight George |
| Degree committee member | Song, Yi-Qiao |
| Degree committee member | Vanorio, Tiziana |
| Associated with | Stanford University, Department of Geophysics |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Alexander Kendrick. |
|---|---|
| Note | Submitted to the Department of Geophysics. |
| Thesis | Thesis Ph.D. Stanford University 2021. |
| Location | https://purl.stanford.edu/qs635ws0207 |
Access conditions
- Copyright
- © 2021 by Alexander Kent Kendrick
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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