We present a visualization approach for the analysis of CO 2 bubble-induced attenuation in porous rock formations. As a basis for this, we introduce customized techniques to extract CO 2 bubbles and their surrounding porous structure from X-ray computed tomography data (XCT) measurements. To understand how the structure of porous media influences the occurrence and the shape of formed bubbles, we automatically classify and relate them in terms of morphology and geometric features, and further directly support searching for promising porous structures. To allow for the meaningful direct visual comparison of bubbles and their structures, we propose a customized registration technique considering the bubble shape as well as its points of contact with the porous media surface. With our quantitative extraction of geometric bubble features, we further support the analysis as well as the creation of a physical model. We demonstrate that our approach was successfully used to answer several research questions in the domain, and discuss its high practical relevance to identify critical seismic characteristics of fluid-saturated rock that govern its capability to store CO 2.
%0 Journal Article
%1 journals/tvcg/ZhangFSUEW19
%A Zhang, Hui
%A Frey, Steffen
%A Steeb, Holger
%A Uribe, David
%A Ertl, Thomas
%A Wang, Wenping
%D 2019
%J IEEE Transactions on Visualization and Computer Graphics
%K 2019 A02 sfbtrr161 visus:ertl visus:freysn
%N 1
%P 1060-1069
%R 10.1109/TVCG.2018.2864506
%T Visualization of Bubble Formation in Porous Media
%U http://dblp.uni-trier.de/db/journals/tvcg/tvcg25.html#ZhangFSUEW19
%V 25
%X We present a visualization approach for the analysis of CO 2 bubble-induced attenuation in porous rock formations. As a basis for this, we introduce customized techniques to extract CO 2 bubbles and their surrounding porous structure from X-ray computed tomography data (XCT) measurements. To understand how the structure of porous media influences the occurrence and the shape of formed bubbles, we automatically classify and relate them in terms of morphology and geometric features, and further directly support searching for promising porous structures. To allow for the meaningful direct visual comparison of bubbles and their structures, we propose a customized registration technique considering the bubble shape as well as its points of contact with the porous media surface. With our quantitative extraction of geometric bubble features, we further support the analysis as well as the creation of a physical model. We demonstrate that our approach was successfully used to answer several research questions in the domain, and discuss its high practical relevance to identify critical seismic characteristics of fluid-saturated rock that govern its capability to store CO 2.
@article{journals/tvcg/ZhangFSUEW19,
abstract = {We present a visualization approach for the analysis of CO 2 bubble-induced attenuation in porous rock formations. As a basis for this, we introduce customized techniques to extract CO 2 bubbles and their surrounding porous structure from X-ray computed tomography data (XCT) measurements. To understand how the structure of porous media influences the occurrence and the shape of formed bubbles, we automatically classify and relate them in terms of morphology and geometric features, and further directly support searching for promising porous structures. To allow for the meaningful direct visual comparison of bubbles and their structures, we propose a customized registration technique considering the bubble shape as well as its points of contact with the porous media surface. With our quantitative extraction of geometric bubble features, we further support the analysis as well as the creation of a physical model. We demonstrate that our approach was successfully used to answer several research questions in the domain, and discuss its high practical relevance to identify critical seismic characteristics of fluid-saturated rock that govern its capability to store CO 2.},
added-at = {2020-01-17T12:08:16.000+0100},
author = {Zhang, Hui and Frey, Steffen and Steeb, Holger and Uribe, David and Ertl, Thomas and Wang, Wenping},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28c831ff3dbb8cd5f7c97259d28f8dcc0/leonkokkoliadis},
doi = {10.1109/TVCG.2018.2864506},
ee = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2018.2864506},
interhash = {f694aa12b4c1b78f6ed4c58470467c8c},
intrahash = {8c831ff3dbb8cd5f7c97259d28f8dcc0},
journal = {IEEE Transactions on Visualization and Computer Graphics},
keywords = {2019 A02 sfbtrr161 visus:ertl visus:freysn},
number = 1,
pages = {1060-1069},
timestamp = {2020-01-17T11:08:16.000+0100},
title = {Visualization of Bubble Formation in Porous Media},
url = {http://dblp.uni-trier.de/db/journals/tvcg/tvcg25.html#ZhangFSUEW19},
volume = 25,
year = 2019
}