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

Publication date

2023-09

Authors

van Leer, Martijn D.ORCID 0000-0003-0972-557XISNI 000000052781874X
Zaadnoordijk, Willem Jan
Zech, AlrauneORCID 0000-0002-8783-6198ISNI 0000000424783935
Griffioen, JasperORCID 0000-0001-6307-0100ISNI 000000039033097X
Bierkens, MarcORCID 0000-0002-7411-6562ISNI 0000000109834798

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Document Type

Article
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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.

Keywords

Aquitards, Geostatistics, Heterogeneity, Hydraulic properties, Water Science and Technology, Earth and Planetary Sciences (miscellaneous)

Citation

van Leer, M D, Zaadnoordijk, W J, Zech, A, Griffioen, J & Bierkens, M F P 2023, 'Estimating hydraulic conductivity correlation lengths of an aquitard by inverse geostatistical modelling of a pumping test', Hydrogeology Journal, vol. 31, no. 6, pp. 1617-1626. https://doi.org/10.1007/s10040-023-02660-3