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 x 300 x 300 voxels
• Selected ROI origin: (0, 700, 0)
• 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
Network absolute porosity [%]	19.91
Experimental permeability [mD]	86.0
Kx [mD]	78.48
Ky [mD]	149.86
Kz [mD]	101.71
Arithmetic mean permeability [mD]	110.02
Quadratic-mean permeability [mD]	113.96
Relative quadratic-mean error [%]	32.52

Interpretation

The current workflow predicts Berea Upper Gray with a quadratic-mean permeability error of 32.52% relative to the Table 1 experimental reference. This case should be interpreted together with the cross-sample summary in DRP-317 sandstone validation overview.