seq_to_satn#

Converts values of invasion sequence into a saturation map

[1]:
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:

[2]:
import inspect
inspect.signature(ps.filters.seq_to_satn)
[2]:
<Signature (seq, im=None)>

Generate an image containing invasion sizes using the porosimetry function:

[3]:
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:

[4]:
seq = ps.filters.size_to_seq(inv, im=im)

seq#

[5]:
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/examples_filters_reference_seq_to_satn_9_0.svg

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

[6]:
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/examples_filters_reference_seq_to_satn_11_0.svg