single transport

[gxw-ll]

I used the blobs function of porespy to generate the digital core, extracted the pore network using the snow2 algorithm, and did the simulation of single-phase transport. The simulation showed the following error: Exception: Your network is clustered, making Ax = b ill-conditioned, my code is as follows:
`import matplotlib.pyplot as plt
import porespy as ps
import numpy as np
import openpnm as op
op.visualization.set_mpl_style()

np.random.seed(0)

shape = [40, 40, 40]
im = ps.generators.blobs(shape=shape, porosity = 0.4, blobiness = 1)

net = ps.networks.snow2(phases = im)
pn = op.io.network_from_porespy(net.network)
print(pn)

ax = op.visualization.plot_connections(pn, color_by=pn['throat.equivalent_diameter'],linewidth=4)
ax = op.visualization.plot_coordinates(pn, color_by=pn['pore.equivalent_diameter'], ax=ax, markersize=50)

water = op.phase.Water(network=pn)
R = pn['throat.equivalent_diameter']/2
L = pn['throat.direct_length']
mu = water['throat.viscosity'] # See ProTip below
water['throat.hydraulic_conductance'] = np.piR**4/(8mu*L)
sf = op.algorithms.StokesFlow(network=pn, phase=water)

sf.set_value_BC(pores=pn.pores('xmin'), values=1)
sf.set_value_BC(pores=pn.pores('xmax'), values=0)

soln = sf.run()
print(sf`

[jgostick]

Maybe I should write an FAQ, because this one comes up a lot. Also, the error message contains exactly the keywords you'd want to look for. Anyway, this example should help.

[gxw-ll]

Thank you, Professor.The problem is solved.