| Title | Geostatistical simulations of the full 3D block hydraulic conductivity tensor considering inner local-scale variability |
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| Author | Benoit, N; Marcotte, D; Molson, J W; Pasquier, P |
| Source | geoENV 2018 - 12th International Conference on Geostatistics for Environmental Applications, book of extended abstracts; by McKinley, J (ed.); Johnston, B (ed.); Ruffell, A (ed.); Graham, C (ed.);
Ofterdinger, U (ed.); 2018 p. 4-10  Open Access |
| Links | Online - En ligne (complete volume - volume complet)
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| Image |  |
| Year | 2018 |
| Alt Series | Natural Resources Canada, Contribution Series 20180214 |
| Meeting | geoENV 2018 - 12th International Conference on Geostatistics for Environmental Applications; Belfast, Northern Ireland; UK; July 3-6, 2018 |
| Document | book |
| Lang. | English |
| Media | on-line; digital |
| Related | This publication is related to Geostatistical simulations of
the full 3D block hydraulic conductivity tensor considering inner local-scale variability |
| File format | pdf |
| Province | Ontario |
| NTS | 31D/04; 31D/05 |
| Area | Innisfil Creek |
| Lat/Long WENS | -80.0000 -79.5000 44.3333 44.0000 |
| Subjects | hydrogeology; mathematical and computational geology; Nature and Environment; Science and Technology; groundwater resources; aquifers; groundwater flow; hydraulic conductivity; geostatistics; computer
simulations; modelling; hydrostratigraphic units; watersheds; transport mechanisms; boreholes; grain size analyses; Methodology |
| Illustrations | location maps; 3-D models; plots; cross-sections; profiles; models |
| Program | Groundwater Geoscience Aquifer Assessment & support to mapping |
| Released | 2018 07 01 |
| Abstract | (unpublished)
In regional hydrostratigraphic systems, heterogeneities in hydraulic conductivity (K) play a central role for flow velocities and contaminant transport modelling. Typical field
measurements of K usually only represent one or at most a few local hydrofacies of a single hydrostratigraphic unit (HSU). At the regional scale, numerous HSUs exist, each showing a range of K-measurements spanning several orders of magnitude. For
realistic numerical modelling, an intermediate scale, i.e. at the block scale, is required between the local and regional scales. Each HSU block must therefore be equipped with an equivalent 3D conductivity tensor that accounts for the connectivity
of hydrofacies and conductivity variations at the local scale. We propose a four-step approach: 1- local-scale simulation of K for each HSU, 2- upscaling of local (quasi-point) realizations into the full 3D block K-tensors using a block by block
finite element flow simulator, 3- definition of the block K-tensor spatial covariance, and 4- direct simulation of block K-tensors at the regional scale.
This approach was applied for regional groundwater flow modelling on a complex 3D
deterministic model, the Innisfil Creek watershed, Ontario, Canada. The K database was built using 1,086 transmissivity measurements extracted from public wells, 32 HSU borehole samples for laboratory permeability tests and 1,694 grain size analyses
from high-resolution sampling of 15 boreholes located in the study area. The latter were used to characterize local-scale variability of K. A non-conditional turning bands method was used to simulate the local-scale scalar K fields. Block 3D
hydraulic conductivity tensors were obtained by upscaling the local-scale simulation to the block scale using the Saltflow finite element flow simulator. Analysis of the upscaled K-tensor components revealed a clear control of principal components
with strong correlations between them. The K-tensors showed correlation ranges of a few to several blocks depending of the HSU. The tensor covariance of the principal components was combined in a linear model of coregionalisation to simulate a series
of block K-tensor fields within a fixed hydrostratigraphic model. Groundwater flow simulated using the ensemble K field was compared to a deterministic flow field using a single calibrated K-tensor per HSU. The uncalibrated fields simulated with the
K tensor showed a match to available hydraulic head data which was comparable to the match of the calibrated deterministic model. The impact of K-tensor uncertainty on a typical flow simulation response was assessed and proved non-negligible. The
approach can easily be applied to include uncertainty of the hydrostratigraphic model itself to obtain a better assessment of the complete uncertainty on the flow model. |
| Summary | (Plain Language Summary, not published)
This extended abstract describes an efficient multi-step upscaling method for regional characterisation of the full 3D hydraulic conductivity tensor (K)
of hydrostratigraphic units. The method is based on geostatistical and groundwater flow modeling which defines the spatial distribution of the K tensor considering the effect of local-scale variability. It was successfully tested and validated using
deterministic and stochastic groundwater flow simulations in the South Simcoe County, Ontario. This method supports characterisation of K tensors of hydrostratigraphic units and appears well suited for determining the uncertainty of groundwater flow
and transport models including aquifer vulnerability. The outputs are used for groundwater flow modeling and uncertainty analyses. This research was carried out within the Groundwater Geoscience Program - Geological Survey of Canada in collaboration
with École Polytechnique de Montréal, Ontario Geological Survey and Université Laval. |
| GEOSCAN ID | 311287 |
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