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Hydraulic parameterization of 3D subsurface models: from measurement-scale to model-scale Jan L. Gunnink, Jan Stafleu, Denise Maljers and Jan Hummelman TNO – Geological Survey of the Netherlands

Layer-based models

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Hydraulic parameterization of 3D subsurface models: from measurement-scale to model-scale Jan L. Gunnink, Jan Stafleu, Denise Maljers and Jan Hummelman TNO – Geological Survey of the Netherlands. Layer-based models. n ation-wide (~ 41,000 km 2 ) upper 500 m ArcGIS raster layers - PowerPoint PPT Presentation

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Page 1: Layer-based models

Hydraulic parameterization of 3D subsurface models: from measurement-scale to model-scale

Jan L. Gunnink, Jan Stafleu, Denise Maljers and Jan Hummelman

TNO – Geological Survey of the Netherlands

Page 2: Layer-based models

Layer-based modelsnation-wide (~41,000 km2)upper 500 mArcGIS raster layersresolution 100 x 100 m(hydro) geological units with:

top, base, thicknessuncertaintieshydraulic parameters

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Page 3: Layer-based models

Voxel models

nation-wide (~41,000 km2)upper 30 mresolution 100 x 100 x 0.5 meach voxel contains:

stratigraphic unit + uncertaintylithology (sand, clay, peat) + uncertainty

15 km

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Anthropogenic

Clay

Peat

Fine sand

Medium sand

Coarse sand

Clayey sand

Page 4: Layer-based models

Parameterization of Voxel models

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Stratigraphy

Lithology and sand grain-size

Hydraulic conductivity

Groundwaterflow models

+

Page 5: Layer-based models

Measuring hydraulic conductivity

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How?Measure from samplesPumping testsSlug testsEmpirical relationships linking lithology and grain-size to conductivity

Page 6: Layer-based models

Measuring hydraulic conductivity

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Systematic sampling of stratigraphic units and lithologies in the Netherlands

Page 7: Layer-based models

Application: hydraulic resistance map

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days

Calculated directly from measured values

70 km

Page 8: Layer-based models

Scale difference between measurement and model

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100 m

0.1 m

Page 9: Layer-based models

Small-scale heterogeneity

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0.1 m

Alternating sand and clay layers in a tidal environment

low high

Hydraulic conductivity (m/day)

100 m

1 m

100

m

Page 10: Layer-based models

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Sand

Clay 50 realizations of sand-clay distribution

Block composed of small voxels of 0.5 x 0.5 x 0.05 m

1 m

100 m100 m

Step 1: Model the spatial distribution of sand and clay within a single voxel

Sand-clay proportion

80%

20%

Page 11: Layer-based models

5 different sand-clay proportions

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Sand

Clay 50 realizations of sand-clay distribution

Block composed of small voxels of 0.5 x 0.5 x 0.05 m

100 m

1 m

100 m

40%

60%

Step 1: Model the spatial distribution of sand and clay within a single voxel

Page 12: Layer-based models

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Block composed of small voxels of 0.5 x 0.5 x 0.05 m

5 * 50 realizations of vertical hydraulic conductivity

5 * 50 different sand-clay distributions

Step 2: Model the spatial distribution of vertical hydraulic conductivity

100 m

1 m

100 m

Page 13: Layer-based models

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5 * 50 different distributionsof vertical hydraulic conductivity

Block composed of small voxels of 0.5 x 0.5 x 0.05 m

Effective vertical hydraulic conductivity of the entire block (m/day)

Step 3: Apply Modflow-model

Vertical flow

Page 14: Layer-based models

Results

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Clay

Sand

N=50

Effective vertical hydraulic conductivity of a heterogeneous sand-clay voxel

40%

60%

Page 15: Layer-based models

Application: hydraulic resistance map

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70 km

days

Calculated from upscaled hydraulic resistance

Page 16: Layer-based models

Application: hydraulic resistance map

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days

Calculated from measured hydraulic resistance, without upscaling

70 km

Page 17: Layer-based models

Conclusions

Systematically measure hydraulic conductivity from samplesNew procedure to assign effective hydraulic conductivity values to each voxel in our modelsProcedure accounts for:

difference in scale between laboratory measurements and voxelssmall-scale heterogeneity within voxels

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Page 18: Layer-based models

Thank you for your attention

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Stratigraphy

Lithology and sand grain-size

Hydraulic conductivity

Groundwaterflow models

+

Page 19: Layer-based models

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Keff = Kg * (1 + variance(ln(k)/6)) for 3D effective conductivity

This applies for the sandy facies, with almost no heterogeneity

Kg=exp(E[ln(K)])

Gutjahr, 1978; Desbartes, 1992