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DRP-317 Bentheimer Notebook Report

Notebook: 19_mwe_drp317_bentheimer_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: Bentheimer_2d25um_binary.raw
  • ROI size: 300 x 300 x 300 voxels
  • Selected ROI origin: (0, 0, 700)
  • 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 [%] 22.64
Full-image porosity [%] 26.72
ROI porosity [%] 26.75
Network absolute porosity [%] 27.57
Experimental permeability [mD] 386.0
Kx [mD] 426.82
Ky [mD] 536.39
Kz [mD] 543.85
Arithmetic mean permeability [mD] 502.35
Quadratic-mean permeability [mD] 505.19
Relative quadratic-mean error [%] 30.88

Bentheimer directional permeability

Interpretation

Bentheimer remains noticeably high relative to the experimental reference, but the result is still within the same order of magnitude and behaves like a plausible PNM overshoot rather than a complete workflow failure.

The strong bias in both porosity and permeability suggests that representativeness and extracted-network geometry remain more important than the switch from constant viscosity to the new pressure-dependent viscosity model.