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Effects of multiscale heterogeneity on transport in three-dimensional fractured porous rock with a rough-walled fracture network
Zhejiang Univ, MOE Key Lab Soft Soils & Geoenvironm Engn, Hangzhou 310058, Peoples R China.;Zhejiang Univ, Ctr Hypergrav Expt & Interdisciplinary Res, Hangzhou 310058, Peoples R China..
Zhejiang Univ, MOE Key Lab Soft Soils & Geoenvironm Engn, Hangzhou 310058, Peoples R China.;Zhejiang Univ, Ctr Hypergrav Expt & Interdisciplinary Res, Hangzhou 310058, Peoples R China..
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Water and Environmental Engineering.ORCID iD: 0000-0002-0958-7181
Zhejiang Univ, MOE Key Lab Soft Soils & Geoenvironm Engn, Hangzhou 310058, Peoples R China.;Zhejiang Univ, Ctr Hypergrav Expt & Interdisciplinary Res, Hangzhou 310058, Peoples R China..
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2022 (English)In: Computers and geotechnics, ISSN 0266-352X, E-ISSN 1873-7633, Vol. 148, p. 104836-, article id 104836Article in journal (Refereed) Published
Abstract [en]

This study numerically analyzed the effect of multiscale heterogeneity on flow and transport response of a threedimensional (3D) fractured porous rock with rough-walled fracture network. 3D discrete fracture matrix (DFM) models with different heterogeneity scales (network-scale, fracture-to-fracture-scale, and individual fracture scale) were generated. The results showed that the velocity and concentration distributions among the different DFMs were highly variable due to multiscale heterogeneity. The cumulative distribution function curves (CDFs) of the concentration disctribution indicated that fracture-to-fracture-scale heterogeneity led to an earlier breakthrough time than network-scale heterogeneity, and this behavior was further enhanced by individual fracture-scale heterogeneity, suggesting that transport was accelerated by enhanced local channeling flow with increasing fracture roughness. The complementary cumulative distribution function curves (CCDFs) showed obvious long tailing as heterogeneity increased from fracture-to-fracture-scale to individual fracture-scale. Compared with the case where only network-scale heterogeneity was considered, the calculated downstream concentration with fracture-to-fracture-scale heterogeneity increased first from 0.670 to 0.709. However, the downstream concentration then decreased from 0.684 to 0.618 as the roughness increased from & USigma; = 0.03 mm to & USigma; = 0.07 mm. These results can help predict the migration behavior of radioactive nuclides in far-field areas and assess the long-term performance of deep geological repositories.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 148, p. 104836-, article id 104836
Keywords [en]
Solute transport, Multiscale heterogeneity, Fractured porous rock, Discrete fracture matrix model, Fracture roughness, Earlier breakthrough time
National Category
Geophysics Other Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-314883DOI: 10.1016/j.compgeo.2022.104836ISI: 000809236500003Scopus ID: 2-s2.0-85131221569OAI: oai:DiVA.org:kth-314883DiVA, id: diva2:1676856
Note

QC 20220627

Available from: 2022-06-27 Created: 2022-06-27 Last updated: 2022-07-06Bibliographically approved

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Zou, Liangchao

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