DRP-317 Berea Notebook Report¶
Notebook: 18_mwe_drp317_berea_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:
Berea_2d25um_binary.raw - ROI size:
(256, 256, 256)voxels - Selected ROI origin:
(0, 744, 0) - ROI porosity:
21.32% - 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 [%] | 18.96 |
| Full-image porosity [%] | 21.67 |
| ROI porosity [%] | 21.32 |
| Experimental permeability [mD] | 121.0 |
| Backend | Network phi [%] | Kx [mD] | Ky [mD] | Kz [mD] | RMS K [mD] | Rel. K error [%] | Np | Nt |
|---|---|---|---|---|---|---|---|---|
| PoreSpy snow2 | 21.82 | 144.91 | 134.71 | 140.13 | 139.98 | 15.69 | 2062 | 3373 |
| PREGO | 20.96 | 258.69 | 227.28 | 247.77 | 244.93 | 102.42 | 1185 | 2566 |
| Native maximal-ball | 20.96 | 90.55 | 73.50 | 74.99 | 80.05 | -33.84 | 963 | 1651 |

Network Statistics Snapshot¶
| Backend | Mean coordination | Dead-end pore fraction |
|---|---|---|
| PoreSpy snow2 | 3.27 | 0.312 |
| PREGO | 4.33 | 0.079 |
| Native maximal-ball | 3.43 | 0.214 |
Interpretation¶
For Berea, the closest aggregate permeability in this rerun is
from PoreSpy snow2 with a relative permeability error of
15.69%. The spread between the
largest and smallest backend aggregate permeability is about 3.06x,
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.