DRP-317 Castlegate Notebook Report¶
Notebook: 25_mwe_drp317_castlegate_raw_porosity_perm
Sources¶
- Dataset: Neumann, R., ANDREETA, M., Lucas-Oliveira, E. (2020, October 7). 11 Sandstones: raw, filtered and segmented data [Dataset]. Digital Porous Media Portal. https://www.doi.org/10.17612/f4h1-w124
- Experimental reference paper: Neumann, R. F., Barsi-Andreeta, M., Lucas-Oliveira, E., Barbalho, H., Trevizan, W. A., Bonagamba, T. J., & Steiner, M. B. (2021). High accuracy capillary network representation in digital rock reveals permeability scaling functions. Scientific Reports, 11, 11370. https://doi.org/10.1038/s41598-021-90090-0
Current Setup¶
- Raw volume:
CastleGate_2d25um_binary.raw - ROI size:
(300, 300, 300)voxels - Selected ROI origin:
(0, 0, 350) - ROI porosity:
24.56% - Extraction backends:
porespy,prego,native_maximal_ball - Conductance model:
generic_poiseuille - Viscosity model: tabulated water viscosity from
thermo,298.15 K - Boundary pressures:
pout = 5.0 MPa,pin = pout + 10 kPa/m * L
Key Results¶
| Quantity | Value |
|---|---|
| Experimental porosity [%] | 26.54 |
| Full-image porosity [%] | 24.67 |
| ROI porosity [%] | 24.56 |
| Experimental permeability [mD] | 269.0 |
| Backend | Network phi [%] | Kx [mD] | Ky [mD] | Kz [mD] | RMS K [mD] | Rel. K error [%] | Np | Nt |
|---|---|---|---|---|---|---|---|---|
| PoreSpy snow2 | 25.16 | 293.61 | 233.93 | 351.47 | 296.91 | 10.37 | 2831 | 4770 |
| PREGO | 24.29 | 504.92 | 407.01 | 613.03 | 515.24 | 91.54 | 1644 | 3801 |
| Native maximal-ball | 24.29 | 169.44 | 139.33 | 220.79 | 179.69 | -33.20 | 1318 | 2377 |
Network Statistics Snapshot¶
| Backend | Mean coordination | Dead-end pore fraction |
|---|---|---|
| PoreSpy snow2 | 3.37 | 0.305 |
| PREGO | 4.62 | 0.078 |
| Native maximal-ball | 3.61 | 0.221 |
Interpretation¶
For Castlegate, the closest aggregate permeability in this rerun is
from PoreSpy snow2 with a relative permeability error of
10.37%. The spread between the
largest and smallest backend aggregate permeability is about 2.87x,
which makes extraction sensitivity a material part of this sample's validation
result.
This is a pore-network comparison against a laboratory-scale experimental reference. The numbers depend on the selected ROI, segmentation convention, boundary labeling, network reduction, and conductance closure; they should not be read as a direct voxel-scale flow simulation.