Skip to content

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

Berea directional permeability

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.