Simulation codes and data for article titled "Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt"
Abstract/Contents
- Abstract
- These codes are the basic infrastructure of a vesicle percolation simulator used to quantify vesicle connectivity across a complete range of porosities, pore size distributions, and microporosity conditions. Simulation codes are included that incorporate important geologic features such as microporosity are able to describe the trend of experimental measurements made in the associated study and in previous work, without relying on statistical or empirical techniques. Matlab data files include results of sensitivity analysis and results used to generate figures in paper. Please contact author for additional specifications of manuscript figures.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | 2018 |
Creators/Contributors
| Author | Zahasky, Christopher |
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Subjects
| Subject | percolation simulation |
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| Subject | School of Earth Science |
| Subject | Energy Resources Engineering |
| Genre | Dataset |
Bibliographic information
| Related Publication | Zahasky, Christopher, Dana Thomas, Juerg Matter, Kate Maher, Sally M. Benson. (2018) Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt. Advances in Water Resources. 121:235. https://doi.org/10.1016/j.advwatres.2018.08.009 |
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| Location | https://purl.stanford.edu/wq703sm9345 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Preferred citation
- Preferred Citation
- Zahasky, Christopher. (2018). Simulation codes and data for article titled "Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt". Stanford Digital Repository. Available at: https://purl.stanford.edu/wq703sm9345
Collection
Stanford Research Data
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- Contact
- zahasky@stanford.edu
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