def set_rock_and_fluid(self):
"""
Set rock and fluid properties to granite and water.
"""
self.rock = pp.Granite()
self.rock.FRICTION_COEFFICIENT = 0.5
self.fluid = pp.Water()
self.rock.PERMEABILITY = 1e-16
def test_granite(self):
R = pp.Granite()
self.assertEqual(R.PERMEABILITY, 1e-8 * pp.DARCY)
self.assertEqual(R.POROSITY, 0.01)
self.assertEqual(R.YOUNG_MODULUS, 40 * pp.GIGA * pp.PASCAL)
self.assertEqual(R.POISSON_RATIO, 0.2)
self.assertEqual(R.DENSITY, 2700 * pp.KILOGRAM / pp.METER**3)
self.assertTrue(np.allclose(R.LAMBDA, 11111111111.1111112))
self.assertTrue(np.allclose(R.MU, 16666666666.6666667))
def __init__(self, pb):
pb["theta_ref"] = pb["temperature_at_depth"]
pb["water"] = pp.Water(pb["theta_ref"])
pb["rock"] = pp.Granite(pb["theta_ref"])
# create the computational grid
gb = create_grid(pb)
# Darcy problem
self.assign_data(gb, pb, FlowData, "problem")
pb["file_name"] = "hydraulic_head"
flow = pp.EllipticModel(gb, **pb)
# transport problem
self.assign_data(gb, pb, TransportData, "transport_data")
pb["file_name"] = "temperature"
transport = TransportSolver(gb, **pb)
darcy_and_transport.DarcyAndTransport.__init__(self, flow, transport)
def assign_data(gb):
# First we define the rock
matrix_rock = pp.Granite()
matrix_rock.MU = 20 * pp.GIGA * pp.PASCAL
matrix_rock.LAMBDA = 20 * pp.GIGA * pp.PASCAL
# We define the variable aperture_change which will be used to update the aperture
# at each time step
gb.add_node_props(['aperture_change'])
for g, d in gb:
d['aperture_change'] = np.zeros(g.num_cells)
if g.dim == 3:
d['rock'] = matrix_rock
d['flow_data'] = MatrixDomain(g, d)
d['mech_data'] = MechDomain(g, d)
d['slip_data'] = pp.FrictionSlipDataAssigner(g, d)
else:
# We define an injection in the first fracture
if d['node_number'] == 1:
d['flow_data'] = InjectionDomain(g, d)
else:
d['flow_data'] = FractureDomain(g, d)
def set_parameters(self, g, data_node, mg, data_edge):
"""
Set the parameters for the simulation. The stress is given in GPa.
"""
# Define the finite volume sub grid
s_t = pp.fvutils.SubcellTopology(g)
# Rock parameters
rock = pp.Granite()
lam = rock.LAMBDA * np.ones(g.num_cells) / self.pressure_scale
mu = rock.MU * np.ones(g.num_cells) / self.pressure_scale
k = pp.FourthOrderTensor(g.dim, mu, lam)
F = self._friction_coefficient(g, mg, data_edge, s_t)
# Define boundary regions
east = g.face_centers[0] > np.max(g.nodes[0]) - 1e-9
west = g.face_centers[0] < np.min(g.nodes[0]) + 1e-9
north = g.face_centers[1] > np.max(g.nodes[1]) - 1e-9
south = g.face_centers[1] < np.min(g.nodes[1]) + 1e-9
top = g.face_centers[2] > np.max(g.nodes[2]) - 1e-9
bot = g.face_centers[2] < np.min(g.nodes[2]) + 1e-9
top_hf = top[s_t.fno_unique]
bot_hf = bot[s_t.fno_unique]
# define boundary condition
bc = pp.BoundaryConditionVectorial(g)
bc.is_dir[0, east] = True # Rolling
bc.is_dir[0, west] = True # Rolling
bc.is_dir[1, north] = True # Rolling
bc.is_dir[1, south] = True # Rolling
bc.is_dir[:, bot] = True # Dirichlet
bc.is_neu[bc.is_dir + bc.is_rob] = False
# extract boundary condition to subcells
bc = pp.fvutils.boundary_to_sub_boundary(bc, s_t)
# Give boundary condition values
A = g.face_areas[s_t.fno_unique][top_hf] / 3 #* pp.length_scale**g.dim
u_bc = np.zeros((g.dim, s_t.num_subfno_unique))
u_bc[2, top_hf] = -4.5 * pp.MEGA * pp.PASCAL / self.pressure_scale * A
# Find the continuity points
eta = 1 / 3
eta_vec = eta * np.ones(s_t.num_subfno_unique)
cont_pnt = g.face_centers[:g.dim, s_t.fno_unique] + eta_vec * (
g.nodes[:g.dim, s_t.nno_unique] -
g.face_centers[:g.dim, s_t.fno_unique])
# collect parameters in dictionary
key = 'mech'
key_m = 'mech'
data_node = pp.initialize_data(
g, data_node, key, {
'bc': bc,
'bc_values': u_bc.ravel('F'),
'source': 0,
'fourth_order_tensor': k,
'mpsa_eta': eta_vec,
'cont_pnt': cont_pnt,
'rock': rock,
})
pp.initialize_data(
mg, data_edge, key_m, {
'friction_coeff': F,
'c': 100 * pp.GIGA * pp.PASCAL / self.pressure_scale
})
# Define discretization
# Solve linear elasticity with mpsa
mpsa = pp.Mpsa(key)
data_node[pp.PRIMARY_VARIABLES] = {'u': {'cells': g.dim}}
data_node[pp.DISCRETIZATION] = {'u': {'mpsa': mpsa}}
# Add a Robin condition to the mortar grid
contact = pp.numerics.interface_laws.elliptic_interface_laws.RobinContact(
key_m, mpsa)
data_edge[pp.PRIMARY_VARIABLES] = {'lam': {'cells': g.dim}}
data_edge[pp.COUPLING_DISCRETIZATION] = {
'robin_disc': {
g: ('u', 'mpsa'),
g: ('u', 'mpsa'),
(g, g): ('lam', contact),
}
}
return key, key_m
if __name__ == "__main__":
file_geo = "Algeroyna.csv"
aperture = pp.MILLIMETER
data = {"aperture": aperture, "kf": aperture ** 2 / 12}
folder = "upscaling"
upscaling(file_geo, data, folder, dfn=True)
file_geo = "Algeroyna.csv"
folder = "solution"
theta_ref = 30. * pp.CELSIUS
fluid = pp.Water(theta_ref)
rock = pp.Granite(theta_ref)
aperture = 2 * pp.MILLIMETER
# select the permeability depending on the selected test case
data = {
"aperture": aperture,
"kf": aperture ** 2 / 12,
"km": 1e7 * rock.PERMEABILITY,
"porosity_f": 0.85,
"dt": 1e6 * pp.SECOND,
"t_max": 1e7 * pp.SECOND,
"fluid": fluid,
"rock": rock,
}
def set_parameters(self, g, data_node, mg, data_edge):
"""
Set the parameters for the simulation. The stress is given in GPa.
"""
# Define the finite volume sub grid
s_t = pp.fvutils.SubcellTopology(g)
# Rock parameters
rock = pp.Granite()
lam = rock.LAMBDA * np.ones(g.num_cells) / self.pressure_scale
mu = rock.MU * np.ones(g.num_cells) / self.pressure_scale
F = self._friction_coefficient(g, mg, data_edge, s_t)
k = pp.FourthOrderTensor(g.dim, mu, lam)
# Define boundary regions
top = g.face_centers[g.dim - 1] > np.max(g.nodes[1]) - 1e-9
bot = g.face_centers[g.dim - 1] < np.min(g.nodes[1]) + 1e-9
top_hf = top[s_t.fno_unique]
bot_hf = bot[s_t.fno_unique]
# Define boundary condition on sub_faces
bc = pp.BoundaryConditionVectorial(g, top + bot, 'dir')
bc = pp.fvutils.boundary_to_sub_boundary(bc, s_t)
# Set the boundary values
u_bc = np.zeros((g.dim, s_t.num_subfno_unique))
u_bc[1, top_hf] = -0.002
u_bc[0, top_hf] = 0.005
# Find the continuity points
eta = 1 / 3
eta_vec = eta * np.ones(s_t.num_subfno_unique)
cont_pnt = g.face_centers[:g.dim, s_t.fno_unique] + eta_vec * (
g.nodes[:g.dim, s_t.nno_unique] -
g.face_centers[:g.dim, s_t.fno_unique])
# collect parameters in dictionary
key = 'mech'
key_m = 'mech'
data_node = pp.initialize_data(
g, data_node, key, {
'bc': bc,
'bc_values': u_bc.ravel('F'),
'source': 0,
'fourth_order_tensor': k,
'mpsa_eta': eta_vec,
'cont_pnt': cont_pnt,
'rock': rock,
})
pp.initialize_data(mg, data_edge, key_m, {
'friction_coeff': F,
'c': 100
})
# Define discretization
# For the 2D domain we solve linear elasticity with mpsa.
mpsa = pp.Mpsa(key)
data_node[pp.PRIMARY_VARIABLES] = {'u': {'cells': g.dim}}
data_node[pp.DISCRETIZATION] = {'u': {'mpsa': mpsa}}
# And define a Robin condition on the mortar grid
contact = pp.numerics.interface_laws.elliptic_interface_laws.RobinContact(
key_m, mpsa)
data_edge[pp.PRIMARY_VARIABLES] = {'lam': {'cells': g.dim}}
data_edge[pp.COUPLING_DISCRETIZATION] = {
'robin_disc': {
g: ('u', 'mpsa'),
g: ('u', 'mpsa'),
(g, g): ('lam', contact),
}
}
return key, key_m
