DRP-317 Berea Upper Gray Notebook Report¶
Notebook: 23_mwe_drp317_bereauppergray_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:
BUG_2d25um_binary.raw - ROI size:
(300, 300, 300)voxels - Selected ROI origin:
(0, 700, 0) - ROI porosity:
19.63% - 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 [%] | 18.56 |
| Full-image porosity [%] | 19.65 |
| ROI porosity [%] | 19.63 |
| Experimental permeability [mD] | 86.0 |
| Backend | Network phi [%] | Kx [mD] | Ky [mD] | Kz [mD] | RMS K [mD] | Rel. K error [%] | Np | Nt |
|---|---|---|---|---|---|---|---|---|
| PoreSpy snow2 | 19.91 | 78.48 | 149.87 | 101.71 | 113.97 | 32.52 | 2904 | 4673 |
| PREGO | 19.26 | 131.58 | 252.97 | 180.38 | 194.80 | 126.52 | 1704 | 3602 |
| Native maximal-ball | 19.26 | 41.78 | 79.54 | 51.50 | 59.79 | -30.48 | 1394 | 2247 |
Network Statistics Snapshot¶
| Backend | Mean coordination | Dead-end pore fraction |
|---|---|---|
| PoreSpy snow2 | 3.22 | 0.312 |
| PREGO | 4.23 | 0.090 |
| Native maximal-ball | 3.22 | 0.243 |
Interpretation¶
For Berea Upper Gray, the closest aggregate permeability in this rerun is
from Native maximal-ball with a relative permeability error of
-30.48%. The spread between the
largest and smallest backend aggregate permeability is about 3.26x,
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.