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geiger_3d.py
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geiger_3d.py
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import numpy as np
from porepy.fracs import importer, mortars, meshing
from porepy.grids.simplex import StructuredTriangleGrid
from porepy.grids.grid import FaceTag
from porepy.numerics import elliptic
test_case = 1
assert test_case == 1 or test_case == 2
# geometrical tolerance
tol = 1e-8
VEM = True
# first line in the file is the domain boundary, the others the fractures
file_dfm = "geiger_3d.csv"
# import the dfm and generate the grids
gb, domain = importer.dfm_3d_from_csv(file_dfm, tol, h_ideal=0.2, h_min=0.2)
gb.compute_geometry()
for _, d in gb.edges_props():
mg = d["mortar_grid"]
# print(mg.high_to_mortar.shape[0])
dom_min = 0
dom_max = 1
if True:
frac_list, network, domain = importer.network_3d_from_csv("geiger_3d.csv")
# Conforming=False would have been cool here, but that does not split the 1d grids
gb_new = meshing.dfn(frac_list, conforming=True, h_ideal=0.07, h_min=0.05)
gmap = {}
for go in gb.grids_of_dimension(2):
for gn in gb_new.grids_of_dimension(2):
if gn.frac_num == go.frac_num:
gmap[go] = gn
xf = gn.face_centers
hit = np.logical_or(
np.any(np.abs(xf - dom_min) < tol, axis=0),
np.any(np.abs(xf - dom_max) < tol, axis=0),
)
domain_tag = FaceTag.DOMAIN_BOUNDARY
gn.remove_face_tag_if_tag(domain_tag, domain_tag)
gn.add_face_tag(np.where(hit)[0], domain_tag)
mortars.replace_grids_in_bucket(gb, gmap)
if VEM:
internal_flag = FaceTag.FRACTURE
[g.remove_face_tag_if_tag(FaceTag.BOUNDARY, internal_flag) for g, _ in gb]
if True:
# select the permeability depending on the selected test case
if test_case == 1:
kf = 1e4
else:
kf = 1e-4
data_problem = {
"domain": domain,
"tol": tol,
"aperture": 1e-4,
"km_low": 1,
"km": 1,
"kf": kf,
}
from geiger_3d_data import DarcyModelData
gb.add_node_props(["is_tangential", "problem", "frac_num", "low_zones"])
for g, d in gb:
d["problem"] = DarcyModelData(g, d, **data_problem)
d["is_tangential"] = True
d["low_zones"] = d["problem"].low_zones()
if g.dim == 2:
d["frac_num"] = g.frac_num * np.ones(g.num_cells)
else:
d["frac_num"] = -1 * np.ones(g.num_cells)
# Assign coupling permeability, the aperture is read from the lower dimensional grid
gb.add_edge_prop("kn")
for e, d in gb.edges_props():
mg = d["mortar_grid"]
g_l = gb.sorted_nodes_of_edge(e)[0]
aperture = gb.node_prop(g_l, "param").get_aperture()
d["kn"] = data_problem["kf"] / (mg.low_to_mortar_int * aperture)
# Create the problem and solve it. Export the pressure and projected velocity for visualization.
if VEM:
problem = elliptic.DualEllipticModel(gb)
up = problem.solve()
problem.split(gb)
problem.pressure()
problem.save("pressure")
else:
problem = elliptic.EllipticModel(gb)
problem.solve()
problem.split()
problem.pressure("pressure")
problem.save(["pressure", "frac_num", "low_zones"])
# problem.discharge('discharge')
# problem.project_discharge('P0u')
# problem.save(['pressure', 'P0u', 'frac_num', 'low_zones'])
# for g in gb.grids_of_dimension(2):
#
# mx = g.nodes.max(axis=1)
# mi = g.nodes.min(axis=1)
# dx = mx - mi
#
# if dx.max() > 0.6:
# N = [40, 40]
# elif dx.max() > 0.3:
# N = [20, 20]
# elif dx.max() > 0.2:
# N = [10, 10]
# else:
# N = [5, 5]
#
#
# active = np.where(dx > 1e-4)[0]
# passive = np.setdiff1d(np.arange(3), active)
# gn = StructuredTriangleGrid(N, physdims=dx[active])
# tmp = gn.nodes.copy()
# gn.nodes[active] = tmp[:2] + mi[active].reshape((2, 1))
# gn.nodes[passive] = tmp[2] + mi[passive]
# gn.compute_geometry()
# gn.frac_num = g.frac_num
# gmap[g] = gn