def padding_mask_matrix(self, mask_topography=True, shift=2):
"""Pad as many elements as in shift to the masking arrays. This is done
to guarantee intersection of layers if masked marching cubes are done
Args:
mask_topography (bool): if True mask also the topography. Default True
shift: Number of voxels shifted for the topology. Default 1.
Returns:
numpy.ndarray: masked regular grid
"""
self.mask_matrix_pad = []
series_type = self.stack.df['BottomRelation']
for e, mask_series in enumerate(self.mask_matrix):
mask_series_reshape = mask_series.reshape(
self.grid.regular_grid.resolution)
mask_pad = (mask_series_reshape + find_interfaces_from_block_bottoms(
mask_series_reshape, True, shift=shift))
if series_type[e] == 'Fault':
mask_pad = np.invert(mask_pad)
if mask_topography and self.grid.regular_grid.mask_topo.size != 0:
mask_pad *= np.invert(self.grid.regular_grid.mask_topo)
self.mask_matrix_pad.append(mask_pad)
return self.mask_matrix_pad
def padding_mask_matrix(self, mask_topography=True, shift=2):
"""Pad as many elements as in shift to the masking arrays. This is done to guarantee intersection of layers
if masked marching cubes are done"""
self.mask_matrix_pad = []
for mask_series in self.mask_matrix:
mask_series_reshape = mask_series.reshape((self.grid.regular_grid.resolution[0],
self.grid.regular_grid.resolution[1],
self.grid.regular_grid.resolution[2]))
mask_pad = (mask_series_reshape + find_interfaces_from_block_bottoms(
mask_series_reshape, True, shift=shift))
if mask_topography and self.grid.regular_grid.mask_topo.size != 0:
mask_pad = self.mask_topo(mask_pad)
self.mask_matrix_pad.append(mask_pad)
return True
#
# Sometimes we need to find the voxels that contain the each fault. To do
# so we can use gempy's functionality to find interfaces as follows. Lets
# use the first fault as an example:
#
# %%
gp.plot_2d(geo_model_graben,
regular_grid=geo_model_graben.solutions.block_matrix[0, 0, :125000],
show_data=True)
# %%
# Remember the fault block is stored on:
geo_model_graben.solutions.block_matrix[0, 0, :125000]
# %%
# Now we can find where is the intersection of the values 1 by calling the following function.
# This will return Trues on those voxels on the intersection
intersection = find_interfaces_from_block_bottoms(
geo_model_graben.solutions.block_matrix[0, 0, :125000].reshape(50, 50, 50), 1, shift=1)
# %%
# We can manually plotting together to see exactly what we have done
ax = gp.plot_2d(geo_model_graben,
block=geo_model_graben.solutions.block_matrix[0, 0, :125000],
show_data=True, show=False)
plt.imshow(intersection[:, 25, :].T, origin='lower', extent=(0, 1000, -1000, 0), alpha=.5)
plt.show()
gp.save_model(geo_model)