Reference : Geostatistical analysis of primary and secondary data in a sandy aquifer at Mol/Desse...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Geological, petroleum & mining engineering
http://hdl.handle.net/2268/74612
Geostatistical analysis of primary and secondary data in a sandy aquifer at Mol/Dessel (Belgium)
English
Rogiers, Bart [Belgian Nuclear Research Centre (SCK•CEN) > Institute for Environment > Health and Safety > >]
Mallants, Dirk [Belgian Nuclear Research Centre (SCK•CEN) > Institute for Environment > Health and Safety > >]
Batelaan, Okke [Vrije Universiteit Brussel - VUB > Dept. of Hydrology and Hydraulic Engineering > > >]
Gedeon, Matej [Belgian Nuclear Research Centre (SCK•CEN) > Institute for Environment > Health and Safety > >]
Huysmans, Marijke [Katholieke Universiteit Leuven - KUL > Dept. of Earth and Environmental Sciences > Hydrogeology > >]
Dassargues, Alain mailto [Université de Liège - ULg > Département Argenco : Secteur GEO3 > Hydrogéologie & Géologie de l'environnement >]
Sep-2010
8th International Conference on Geostatistics for Environmental Applications (GeoENV2010)
Cokx, L.
Van Meirvenne, M.
Bogaert, P.
D`Or, D.
90-93
No
8th International Conference on Geostatistics for Environmental Applications (GeoENV2010)
13-15 september 2010
Ghent University
Ghent
Belgium
[en] geostatistics ; sandy aquifer ; secondary data ; CPT ; hydraulic conductivity ; resistivity logs ; kriging
[en] In the framework of the disposal of short-lived low- and intermediate-level radioactive waste in a near-surface disposal facility in Dessel, Belgium, additional extensive site characterization has been performed in 2008. The gathered data now enclose 388 hydraulic conductivity measurements on samples of 8 cored boreholes. Secondary information as grain size analysis, porosity, and borehole geophysical parameters was also gathered. In addition, the geology of the study area has also been thoroughly characterized by a set of 178 cone penetration tests (CPTs) to approximate 50 m depth. This dataset allowed to refine the hydrostratigraphical model of the region. The existing groundwater model, based on large-scale effective hydraulic properties, was updated accordingly. The next step is a small-scale probabilistic approach 1) to validate the current existing deterministic groundwater models and 2) to support design for a monitoring network. In preparation for stochastic realizations of the subsurface, a geostatistical analysis of the available primary and secondary data is performed.
Researchers ; Professionals
http://hdl.handle.net/2268/74612

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