NARA Discovery
Article Details
← Back to Search Results
Journal Article

Estimating hydraulic conductivity correlation lengths of an aquitard by inverse geostatistical modelling of a pumping test

Martijn D. van Leer; Willem Jan Zaadnoordijk; Alraune Zech; Jasper Griffioen; Marc F. P. Bierkens
Hydrogeology Journal · Vol. 31, Issue 6 · pp. 1617-1626 · 2023

Abstract

Aquitards are common hydrogeological features in the subsurface. Typically, pumping tests are used to parameterize the hydraulic conductivity of heterogeneous aquitards. However, they do not take spatial variability and uncertainty into account. Alternatively, core-scale measurements of hydraulic conductivity are used in geostatistical upscaling methods, for which their correlation lengths are needed, but this information is extremely difficult to obtain. This study investigates whether a pumping test can be used to obtain the correlation lengths needed for geostatistical upscaling and account for the uncertainty about heterogeneous aquitard conductivity. Random realizations are generated from core-scale data with varying correlation lengths and inserted into a groundwater flow model which simulates the outcome of an actual pumping test. The realizations yielded a better fit to the pumping test data than the traditional pumping test result, assuming homogeneous layers are selected. Ranges of horizontal and vertical correlation lengths that fit the pumping-test well are found. However, considerable uncertainty regarding the correlation lengths remains, which should be considered when parameterizing a regional groundwater flow model.

Bibliographic Information

JournalHydrogeology Journal
PublisherSpringer
Publication Date2023-09-01
Publication Year2023
Volume31
Issue6
Pages1617-1626
Document TypeJournal Article
Print ISSN1431-2174
eISSN1435-0157
DOI10.1007/s10040-023-02660-3

Access Information

NARA Access Coverage1992-01-01~Current
Journal Homepagehttps://www.springer.com/journal/10040
Publisher PageOpen Publisher Page
Full-text access depends on NARA's subscribed coverage and institutional access.