CESEP Brine Leakage from CO2 Geological Storage Experiments
| Authors: | |
|---|---|
| Owners: | Ahmad AskarTissa Illangasekare |
| Type: | Resource |
| Storage: | The size of this resource is 189.9 KB |
| Created: | Feb 01, 2021 at 2:01 a.m. |
| Last updated: | Feb 03, 2021 at 1:29 a.m. (Metadata update) |
| Published date: | Feb 03, 2021 at 1:29 a.m. |
| DOI: | 10.4211/hs.557dc959947842eb8aaf5d5427a21be3 |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1398 |
| Downloads: | 36 |
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Abstract
The Center for Experimental Study of Subsurface Environmental Processes (CESEP) conducted three intermediate-scale laboratory experiments to generate high-resolution spatiotemporal data on the development of brine leakage plume from CO2 geological storage. The brine plume migration was simulated from a deep geological storage to a shallow aquifer and across multiple intermediate formations. Instead of creating a large vertical testing system to conduct this simulation, the experiments were performed in a horizontal long soil tank with internal dimensions of 800cm ⨉ 123cm ⨉ 6.5-8.0cm (length ⨉ height ⨉ width). In this tank, the brine surrogate (NaBr Tracer) was injected at sufficiently low concentrations to avoid creating a significant density contrast between the leakage plume and the background water, which can result in a vertical sinking of the plume. Collected data included transient measurements of the hydraulic heads and plume concentrations at different locations at the system. In additions, the tracer injection rates, tank inflows and outflows were also measured and reported. The three conducted experiments and the testing system are described in detail in a research article developed by the dataset authors and entitled "Exploring the Impact of Uncertainties in Source Conditions on Brine Leakage Prediction from Geologic Storage of CO2: Intermediate-Scale Laboratory Testing". For any questions, users are referred to the data owners.
Subject Keywords
Coverage
Temporal
| Start Date: | 06/24/2019 |
|---|---|
| End Date: | 11/22/2019 |
Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Science Foundation | Collaborative Research: A New Inverse Theory for Joint Parameter and Boundary Conditions Estimation to Improve Characterization of Deep Geologic Formations and Leakage Monitoring | 1702060 |
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 |
|---|---|---|---|---|
| Jordan Skipwith | Colorado school of mines | |||
| Forrest Pilone | Colorado School of Mines | |||
| Joon Moon | Colorado School of Mines | |||
| William Konishi | Colorado School of Mines | |||
| Anouk Uragoda | Colorado School of Mines | |||
| Analise Butler | Colorado School of Mines | |||
| Gianna Pittman | Colorado School of Mines |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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