DRP-317 Bandera Gray Notebook Report¶
Notebook: 20_mwe_drp317_banderagray_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:
BanderaGray_2d25um_binary.raw - ROI size:
(500, 500, 500)voxels - Selected ROI origin:
(500, 500, 250) - ROI porosity:
20.99% - 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 [%] | 18.10 |
| Full-image porosity [%] | 21.03 |
| ROI porosity [%] | 20.99 |
| Experimental permeability [mD] | 9.0 |
| Backend | Network phi [%] | Kx [mD] | Ky [mD] | Kz [mD] | RMS K [mD] | Rel. K error [%] | Np | Nt |
|---|---|---|---|---|---|---|---|---|
| PoreSpy snow2 | 20.70 | 48.04 | 36.63 | 62.02 | 49.99 | 455.40 | 27913 | 48477 |
| PREGO | 20.40 | 90.29 | 72.47 | 117.24 | 95.13 | 957.01 | 17527 | 38704 |
| Native maximal-ball | 20.40 | 22.30 | 16.15 | 28.16 | 22.74 | 152.68 | 18541 | 31886 |

Network Statistics Snapshot¶
| Backend | Mean coordination | Dead-end pore fraction |
|---|---|---|
| PoreSpy snow2 | 3.47 | 0.231 |
| PREGO | 4.42 | 0.090 |
| Native maximal-ball | 3.44 | 0.242 |
Interpretation¶
For Bandera Gray, the closest aggregate permeability in this rerun is
from Native maximal-ball with a relative permeability error of
152.68%. The spread between the
largest and smallest backend aggregate permeability is about 4.18x,
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.