Hydraulic conductivity variability of the Boom Clay in north-east Belgium based on four core drilled boreholes

Wemaere, I.; Marivoet, J.; Labat, Serge

doi:10.1016/j.pce.2008.10.051

Cited by 41 publications

(39 citation statements)

References 3 publications

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“…Stratigraphically the top of the second aquifer mainly consists of very coarse Diest Sands (approximately 84 m thick in the Dessel 5 borehole), with glauconite up to 30 weight %. The Dessel, Berchem and Voort (DBV) sands are present below the Diest sands, overlying the gradual transition to the Boom Clay, which forms a regional aquitard (Wemaere et al 2008). The total thickness of the DBV layers amounts to around 70 metres at the study site.…”

Section: Core Samplingmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Hydraulic Conductivity and Its Uncertainty from Grain-Size Data Using GLUE and Artificial Neural Networks

et al. 2012

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Various approaches exist to relate saturated hydraulic conductivity (K s ) to grain-size data. Most methods use a single grain-size parameter and hence omit the information encompassed by the entire grain-size distribution. This study compares two data-driven modelling methods-multiple linear regression and artificial neural networks-that use the entire grain-size distribution data as input for K s prediction. Besides the predictive capacity of the methods, the uncertainty associated with the model predictions is also evaluated, since such information is important for stochastic groundwater flow and contaminant transport modelling.Artificial neural networks (ANNs) are combined with a generalised likelihood uncertainty estimation (GLUE) approach to predict K s from grain-size data. The resulting GLUE-ANN hydraulic conductivity predictions and associated uncertainty estimates are compared with those obtained from the multiple linear regression models by a leave-one-out cross-validation. The GLUE-ANN ensemble prediction proved to be slightly better than multiple linear regression. The prediction uncertainty, however, was reduced by half an order of magnitude on average, and decreased at most by an order of magnitude. This demonstrates that the proposed method outperforms classical data-driven modelling techniques. Moreover, a comparison with methods from the literature demonstrates the importance of site-specific calibration. The data set used for this purpose originates mainly from unconsolidated sandy sediments of the Neogene aquifer, northern Belgium. The proposed predictive models are developed for 173 grain-size K s -pairs. Finally, an application with the optimised models is presented for a borehole lacking K s data.

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Section: Core Samplingmentioning

confidence: 99%

“…In their review, Cronican and Gribb (2004) used. An attempt to correlate K s to grain-size data for hydrogeological applications for clay-rich sediments is reported by Wemaere et al (2008).…”

Section: Introductionmentioning

confidence: 99%

Estimation of Hydraulic Conductivity and Its Uncertainty from Grain-Size Data Using GLUE and Artificial Neural Networks

et al. 2012

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“…Boom clay has been chosen for its favorable properties in repository performance, for instance, the low hydraulic conductivity [1], the high adsorption capacity for many radio nuclides [2] and the self-sealing properties due to its elasto-plastic behavior [3].During the long term of repository, due to humid corrosion of metallic parts, radioactive waste decay and radiolysis of water, a significant amount of hydrogen gas may produce and form a single gas phase if gas Figure 1. PSD curve of Boom clay [7].…”

Section: Introductionmentioning

confidence: 99%

Numerical Prediction of Gas Breakthrough in Boom Clay

Zhang¹,

Jun-tong²,

Colliat³

et al. 2018

dtetr

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In Belgium, Boom clay has been studied as a potential host rock for storage of high-level radioactive waste. This work aims at the numerical prediction of gas migration properties in the very low-porosity formation of Boom clay. Considering the meso/microscopic scale of pore network, the analyses based on macroscopic approaches or homogeneous transport properties are no longer appropriate. In this study, the 3D pore space morphological model of Boom clay which possesses a similar pore size distribution (PSD) with experimental results is generated through the union of excursions of Gaussian random fields. Essentially, the extraction of accessible pores for a given gas pressure is feasible via the purely geometric analysis of morpho-mathematical operations. Then this work numerically predicts the capillary induced gas entry and gas breakthrough pressures (GEP and GBP) in Boom clay.

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“…All measurements were carried out in the Mol-1 borehole (Wemaere et al 2002). The resulting data set comprises of 52 hydraulic conductivity values, 71 grain size measurements, an electrical resistivity log, a gamma ray log and a description of the lithology variation.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, the clay exhibits excavation-induced fractures around the excavated galleries . The sublayers have hydraulic conductivity values up to 10 -10 m/s (Wemaere et al 2002) and the fractures may have even higher hydraulic conductivity values. Therefore, the aim of this study is to model the transport of radionuclides through the clay, taking into account the geological heterogeneity and the excavation induced fractures around the galleries in which the waste will be stored.…”

Section: Introductionmentioning

confidence: 99%

Simulation of radionuclide mass fluxes in a heterogeneous clay formation locally disturbed by excavation

Huysmans

Berckmans

Dassargues

Geostatistics for Environmental Applications

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Hydraulic conductivity variability of the Boom Clay in north-east Belgium based on four core drilled boreholes

Cited by 41 publications

References 3 publications

Estimation of Hydraulic Conductivity and Its Uncertainty from Grain-Size Data Using GLUE and Artificial Neural Networks

Estimation of Hydraulic Conductivity and Its Uncertainty from Grain-Size Data Using GLUE and Artificial Neural Networks

Numerical Prediction of Gas Breakthrough in Boom Clay

Simulation of radionuclide mass fluxes in a heterogeneous clay formation locally disturbed by excavation

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