TY - JOUR
T1 - Pore Geometry Characterization by Persistent Homology Theory
AU - Jiang, Fei
AU - Tsuji, Takeshi
AU - Shirai, Tomoyuki
N1 - Funding Information:
This study was supported by JSPS through a Grant-in-Aid for Young Scientists (16K18331). We gratefully acknowledge support of I2CNER, sponsored by the World Premier International Research Center Initiative (WPI), MEXT, Japan. This work was also partially supported by JST CREST Mathematics (15656429). The authors would like to thank Professor Martin Blunt from Imperial College London for sharing the micro-CT data of the rocks. These micro-CT data can be downloaded through the web page of Department of Earth Science and Engineering, Imperial College London (http://www.imperial.ac.uk/earth-science/research/research-groups/perm/research/pore-scale-modelling/micro-ct-images-and-networks/).
Funding Information:
This study was supported by JSPS through a Grant-in-Aid for Young Scientists (16K18331). We gratefully acknowledge support of I2CNER, sponsored by the World Premier International Research Center Initiative (WPI), MEXT, Japan. This work was also partially supported by JST CREST Mathematics (15656429). The authors would like to thank Professor Martin Blunt from Imperial College London for sharing the micro-CT data of the rocks. These micro-CT data can be downloaded through the web page of Department of Earth Science and Engineering, Imperial College London (http://www.imperial.ac.uk/earth-science/research/research-groups/perm/ research/pore-scale-modelling/micro-ct-images-and-networks/).
Publisher Copyright:
© 2018. American Geophysical Union. All Rights Reserved.
PY - 2018/6
Y1 - 2018/6
N2 - Rock pore geometry has heterogeneous characteristics and is scale dependent. This feature in a geological formation differs significantly from artificial materials and makes it difficult to predict hydrologic and elastic properties. To characterize pore heterogeneity, we propose an evaluation method that exploits the recently developed persistent homology theory. In the proposed method, complex pore geometry is first represented as sphere cloud data using a pore-network extraction method. Then, a persistence diagram (PD) is calculated from the point cloud, which represents the spatial distribution of pore bodies. A new parameter (distance index H) derived from the PD is proposed to characterize the degree of rock heterogeneity. Low H value indicates high heterogeneity. A new empirical equation using this index H is proposed to predict the effective elastic modulus of porous media. The results indicate that the proposed PD analysis is very efficient for extracting topological feature of pore geometry.
AB - Rock pore geometry has heterogeneous characteristics and is scale dependent. This feature in a geological formation differs significantly from artificial materials and makes it difficult to predict hydrologic and elastic properties. To characterize pore heterogeneity, we propose an evaluation method that exploits the recently developed persistent homology theory. In the proposed method, complex pore geometry is first represented as sphere cloud data using a pore-network extraction method. Then, a persistence diagram (PD) is calculated from the point cloud, which represents the spatial distribution of pore bodies. A new parameter (distance index H) derived from the PD is proposed to characterize the degree of rock heterogeneity. Low H value indicates high heterogeneity. A new empirical equation using this index H is proposed to predict the effective elastic modulus of porous media. The results indicate that the proposed PD analysis is very efficient for extracting topological feature of pore geometry.
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U2 - 10.1029/2017WR021864
DO - 10.1029/2017WR021864
M3 - Article
AN - SCOPUS:85050819488
SN - 0043-1397
VL - 54
SP - 4150
EP - 4163
JO - Water Resources Research
JF - Water Resources Research
IS - 6
ER -