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| Type: | Resource | |
| Storage: | The size of this resource is 46.4 MB | |
| Created: | Aug 28, 2024 at 3:44 p.m. | |
| Last updated: | Dec 05, 2024 at 2:52 p.m. | |
| Published date: | Dec 05, 2024 at 2:52 p.m. | |
| DOI: | 10.4211/hs.0433d48779f94704b4e1b983f5e41da6 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 114 |
| Downloads: | 2 |
| +1 Votes: | Be the first one to this. |
| Comments: | 1 comment |
Abstract
Fractures are a primary feature controlling flow, transport, and coupled processes in geologic systems. To date, experimental image-based observations of these processes have been challenging. Here, we successfully demonstrate the use of a graph-based, laboratory-validated flow and transport model for conservative solute transport in a natural fracture. Pulse-tracer experiments with a conservative radiotracer ([18F]-FDG) spanning multiple flow regimes with simultaneous positron emission tomography (PET) imaging are used to characterize transport in a two-inch fractured Sierra granite core. Model network complexity, determined by the number of nodes and edges, significantly impacts model fit to observed data. Large graphs over-describe a fracture plane and act similarly to a porous medium while small graphs oversimplify the solute transport behavior. This work provides the first validation of graph-based flow and transport models across a range of experimental conditions and sets the groundwork for upscaling to more complex and computationally efficient fracture network models.
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Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | 2002412 | |
| American Chemical Society Petroleum Research Fund | 66040-DNI9 | |
| Wisconsin Alumni Research Foundation |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
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| Christopher Zahasky | UW-Madison Department of Geoscience | Wisconsin, US |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
Collin Sutton 3 months, 4 weeks ago
The files can also be found on GitHub at https://github.com/cr-sutton/GraphModel_GRL
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