A fuzzy logic based algorithm for defining and extracting pore network structure from tomography images of rocks

•The definition of a pore is vague and arbitrary. To make sense of pore network models and pore related quantities (pore size distribution, pore coordination number, throat size distribution), a quantifiable definition of a pore is needed.•We applied fuzzy logic to tackle the issue of quantifying th...

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Bibliographic Details
Published in:	Advances in water resources Vol. 119; pp. 197 - 209
Main Authors:	Moaddel, A., Müter, D., Gooya, R., Sørensen, H.O., Stipp, S.L.S.
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.09.2018 Elsevier Science Ltd
Subjects:	Algorithms computed tomography Fuzzy logic geometry Image processing Image segmentation Information entropy Mathematical models Medical imaging Percolation Pore network model Pores Porosity Porous media Properties Properties (attributes) Quality assessment Rock Rocks Tomography water resources Watersheds X ray imagery Fuzzy logic Porous media Tomography Pore network model Percolation Information entropy
ISSN:	0309-1708, 1872-9657
Online Access:	Get full text
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