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Synchrotron X‐ray Micro‐Tomography and Geological CO₂ Sequestration

Nico, P. S. / Ajo‐Franklin, J. B. / Benson, S. M. / McDowell, A. / Silin, D. B. / Tomutsa, L. / Wu, Y.

Synchrotron based x‐ray computed tomography (CT) has several unique capabilities including a tuneable coherent x‐ray source which allows for multi‐energy chemically sensitive imaging. Data from 8.3.2 were analyzed using a novel Maximal Inscribed Sphere (MIS) algorithm in order to predict the distribution of CO2 within a multi‐phase system. In addition, time lapse imaging was used to characterize microbially driven precipitation events. This chapter highlights two examples of how synchrotron x‐ray tomography can help improve our understanding of these processes. First, it demonstrates the use of a novel algorithm for analyzing tomographic data in order to predict the distribution of CO2 within a two phase CO2/brine system. Second, the chapter uses time lapse imaging to dynamically characterize microbially‐mediated precipitation in a porous medium.

computerised tomography; flow through porous media

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Synchrotron X‐ray Micro‐Tomography and Geological CO₂ Sequestration

Nico, P. S. / Ajo‐Franklin, J. B. / Benson, S. M. / McDowell, A. / Silin, D. B. / Tomutsa, L. / Wu, Y.

Synchrotron based x‐ray computed tomography (CT) has several unique capabilities including a tuneable coherent x‐ray source which allows for multi‐energy chemically sensitive imaging. Data from 8.3.2 were analyzed using a novel Maximal Inscribed Sphere (MIS) algorithm in order to predict the distribution of CO2 within a multi‐phase system. In addition, time lapse imaging was used to characterize microbially driven precipitation events. This chapter highlights two examples of how synchrotron x‐ray tomography can help improve our understanding of these processes. First, it demonstrates the use of a novel algorithm for analyzing tomographic data in order to predict the distribution of CO2 within a two phase CO2/brine system. Second, the chapter uses time lapse imaging to dynamically characterize microbially‐mediated precipitation in a porous medium.

computerised tomography; flow through porous media

Synchrotron X‐ray Micro‐Tomography and Geological CO₂ Sequestration

Nico, P. S. / Ajo‐Franklin, J. B. / Benson, S. M. / McDowell, A. / Silin, D. B. / Tomutsa, L. / Wu, Y.

Synchrotron based x‐ray computed tomography (CT) has several unique capabilities including a tuneable coherent x‐ray source which allows for multi‐energy chemically sensitive imaging. Data from 8.3.2 were analyzed using a novel Maximal Inscribed Sphere (MIS) algorithm in order to predict the distribution of CO2 within a multi‐phase system. In addition, time lapse imaging was used to characterize microbially driven precipitation events. This chapter highlights two examples of how synchrotron x‐ray tomography can help improve our understanding of these processes. First, it demonstrates the use of a novel algorithm for analyzing tomographic data in order to predict the distribution of CO2 within a two phase CO2/brine system. Second, the chapter uses time lapse imaging to dynamically characterize microbially‐mediated precipitation in a porous medium.

computerised tomography; flow through porous media

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Title:

Synchrotron X‐ray Micro‐Tomography and Geological CO₂ Sequestration

Contributors:

Alshibli, Khalid A. (editor) / Reed, Allen H. (editor) / Nico, P. S. (author) / Ajo‐Franklin, J. B. (author) / Benson, S. M. (author) / McDowell, A. (author) / Silin, D. B. (author) / Tomutsa, L. (author) / Wu, Y. (author)

Published in:

Advances in Computed Tomography for Geomaterials ; 374-380

Publication date:

2010-03-01

Size:

7 pages

ISBN:

9781118557723 , 9781848211797

DOI:

https://doi.org/10.1002/9781118557723.ch44

Type of media:

Article/Chapter (Book)

Type of material:

Electronic Resource

Language:

English

Keywords:

microbially‐mediated precipitation , CO2 , synchrotron X‐ray micro‐tomography , porous medium , maximal inscribed sphere (MIS) algorithm

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