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Inference of Retention Time From Tracer Tests in Crystalline Rock
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Resources, Energy and Infrastructure.ORCID iD: 0000-0002-5665-747x
Posiva Oy, Helsinki, Finland..
Swedish Nuclear Fuel and Waste Management Co. (SKB), Stockholm, Sweden.ORCID iD: 0000-0001-9251-5367
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Resources, Energy and Infrastructure.ORCID iD: 0000-0002-0958-7181
2020 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 56, no 2, article id e2019WR025266Article in journal (Refereed) Published
Abstract [en]

A statistical parametrization of transport combined with a new, general partition function for diffusive mass transfer (Cvetkovic, 2017, ) is here developed into a practical tool for evaluating tracer tests in crystalline rock. The research question of this study is how to separate the characteristic times of retention and advection, using tracer test information alone; this decoupling is critical for upscaling of transport. Three regimes are identified based on the unconditional mean number of trapping events. Analytical expressions are derived for inferring transport-retention parameters; these are first tested on a series of generic examples and then using two sets of tracer test data. Our results indicate that the key transport-retention parameters can be inferred separately with reasonable accuracy by a few simple steps, provided that the macrodispersion is not too large and retention not too strong. Of particular interest is inference of the retention time from the breakthrough curve peak that avoids costly asymptotic monitoring. Finally, we summarize the retention times as inferred from a series of nonsorbing tracer tests in the Swedish granite, demonstrating the uncertainties when estimating retention based on material and structural properties from samples. Possible strategies for reducing these uncertainties that combine improved understanding of crystalline rock evolution with numerical simulations are noted as topics for future research.

Place, publisher, year, edition, pages
American Geophysical Union (AGU) , 2020. Vol. 56, no 2, article id e2019WR025266
Keywords [en]
fractured rock, retention, tracer tests, evaluation, granite, characterization
National Category
Water Engineering
Identifiers
URN: urn:nbn:se:kth:diva-276610DOI: 10.1029/2019WR025266ISI: 000535672800047Scopus ID: 2-s2.0-85080977068OAI: oai:DiVA.org:kth-276610DiVA, id: diva2:1445897
Note

QC 20230630

Available from: 2020-06-23 Created: 2020-06-23 Last updated: 2023-06-30Bibliographically approved

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Cvetkovic, VladimirSelroos, Jan-OlofZou, Liangchao

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