seq_to_satn#

Converts values of invasion sequence into a saturation map

import numpy as np
import porespy as ps
import matplotlib.pyplot as plt
from edt import edt
ps.visualization.set_mpl_style()

The arguments and default values for this function are:

import inspect
inspect.signature(ps.filters.seq_to_satn)
<Signature (seq, im=None)>

Generate an image containing invasion sizes using the porosimetry function:

np.random.seed(0)
im = ps.generators.blobs([200, 200], porosity=0.5)
inv = ps.filters.porosimetry(im)

Then convert the sizes to sequence values:

seq = ps.filters.size_to_seq(inv, im=im)

seq#

satn = ps.filters.seq_to_satn(seq=seq)
fig, ax = plt.subplots(1, 2, figsize=[12, 6])
ax[0].imshow(seq/im, origin='lower', interpolation='none')
ax[0].set_title('Invasion map by sequence')
ax[0].axis(False)
ax[1].imshow(satn/im, origin='lower', interpolation='none')
ax[1].set_title('Invasion map by saturation')
ax[1].axis(False);
../../../_images/0aba0b28859970eda2b6d5d12b8277c22ecaaabf10424e00a8eca4f351c5657c.svg

The saturation map makes it very easy to obtain a desired fluid configuration just by applying a threhold:

fig, ax = plt.subplots(1, 2, figsize=[12, 6])

s = 0.3
ax[0].imshow((satn < s)*(satn > 0)/im, origin='lower', interpolation='none')
ax[0].set_title(f'saturation = {s}')
ax[0].axis(False)

s = 0.6
ax[1].imshow((satn < s)*(satn > 0)/im, origin='lower', interpolation='none')
ax[1].set_title(f'saturation = {s}')
ax[1].axis(False);
../../../_images/9b7450a95097cffdac582557d289842551635d6ba2d9797ace7a10807698ab77.svg