DRP-317 Berea Sister Gray Notebook Report¶
Notebook: 22_mwe_drp317_bereasistergray_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:
BSG_2d25um_binary.raw - ROI size:
(300, 300, 300)voxels - Selected ROI origin:
(350, 0, 0) - ROI porosity:
19.84% - 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 [%] | 19.07 |
| Full-image porosity [%] | 19.79 |
| ROI porosity [%] | 19.84 |
| Experimental permeability [mD] | 80.0 |
| Backend | Network phi [%] | Kx [mD] | Ky [mD] | Kz [mD] | RMS K [mD] | Rel. K error [%] | Np | Nt |
|---|---|---|---|---|---|---|---|---|
| PoreSpy snow2 | 20.20 | 122.98 | 122.61 | 135.06 | 127.01 | 58.77 | 3472 | 6026 |
| PREGO | 19.55 | 198.12 | 213.49 | 211.86 | 207.94 | 159.92 | 2063 | 4679 |
| Native maximal-ball | 19.55 | 65.06 | 61.00 | 68.00 | 64.75 | -19.06 | 1717 | 3058 |
Network Statistics Snapshot¶
| Backend | Mean coordination | Dead-end pore fraction |
|---|---|---|
| PoreSpy snow2 | 3.47 | 0.276 |
| PREGO | 4.54 | 0.075 |
| Native maximal-ball | 3.56 | 0.196 |
Interpretation¶
For Berea Sister Gray, the closest aggregate permeability in this rerun is
from Native maximal-ball with a relative permeability error of
-19.06%. The spread between the
largest and smallest backend aggregate permeability is about 3.21x,
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.