# 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()

[01:03:18] ERROR    PARDISO solver not installed, run pip install pypardiso. Otherwise,          _workspace.py:56
simulations will be slow. Apple M chips not supported.


The arguments and default values for this function are:

import inspect
inspect.signature(ps.filters.seq_to_satn)

<Signature (seq, im=None, mode='drainage')>


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);


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);