def main(folder, solver, solver_name, dt):
gb, domain = problem_data.create_grid(from_file=False, generate_network=True)
data = {"domain": domain, "t_max": 5000}
data["time_step"] = dt
problem_data.add_data(gb, data, solver_name)
solver(gb, folder)
outflow_upper, outflow_lower = outlet_fluxes(gb)
mean = mean_inlet_pressure(gb, solver_name)
# to store the results for the current problem
results = np.empty(8, dtype=np.object)
# save basic informations
results[0] = "UiB-" + solver_name.upper()
results[1] = np.sum([g.num_cells for g in gb.grids_of_dimension(3)])
results[2] = np.sum([g.num_cells for g in gb.grids_of_dimension(2)])
results[3] = np.sum([g.num_cells for g in gb.grids_of_dimension(1)])
results[4] = np.sum([g.num_cells for g in gb.grids_of_dimension(0)])
results[5] = outflow_upper
results[6] = outflow_lower
results[7] = mean
file_name = folder + "/info.txt"
with open(file_name, "w") as f:
f.write(", ".join(map(str, results)))
T, outflow, A, b, block_dof, full_dof = solvers.transport(
gb, data, solver_name, folder, callback=report_concentrations, save_every=1
)
def main(test_case, file_geo, folder, solver, solver_name, N=None):
tol = 1e-8
if N is not None:
gb, domain = problem_data.make_grid_cart(N)
else:
gb, domain = problem_data.import_grid(file_geo, tol)
# select the permeability depending on the selected test case
if test_case == 0:
kf = 1e4
porosity_f = 0.9
else:
kf = 1e-4
porosity_f = 0.01
data = {
"domain": domain,
"tol": tol,
"aperture": 1e-4,
"km_low": 1e-1,
"km": 1,
"kf": kf,
"porosity_m": 1e-1,
"porosity_f": porosity_f,
"dt": 0.25 / 100,
"t_max": 0.25,
}
problem_data.add_data(gb, data, solver_name)
solver(gb, folder)
# to store the results for the current problem
results = np.empty(5, dtype=np.object)
# save basic informations
results[0] = "UiB-" + solver_name.upper()
results[1] = np.sum([g.num_cells for g in gb.grids_of_dimension(3)])
results[2] = np.sum([g.num_cells for g in gb.grids_of_dimension(2)])
results[3] = np.sum([g.num_cells for g in gb.grids_of_dimension(1)])
results[4] = np.sum([g.num_cells for g in gb.grids_of_dimension(0)])
file_name = folder + "/info.txt"
with open(file_name, "w") as f:
f.write(", ".join(map(str, results)))
solvers.transport(gb, data, solver_name, folder,
problem_data.AdvectiveDataAssigner)
def main(grid_file, folder, solver, solver_name, dt):
gb, domain = problem_data.create_grid(grid_file)
data = {"domain": domain, "t_max": 1}
data["dt"] = dt
problem_data.add_data(gb, data, solver_name)
solver(gb, folder)
outflow_upper, outflow_lower = outlet_fluxes(gb)
mean = mean_inlet_pressure(gb, solver_name)
# to store the results for the current problem
results = np.empty(8, dtype=np.object)
# save basic informations
results[0] = "UiB-" + solver_name.upper()
results[1] = np.sum([g.num_cells for g in gb.grids_of_dimension(3)])
results[2] = np.sum([g.num_cells for g in gb.grids_of_dimension(2)])
results[3] = np.sum([g.num_cells for g in gb.grids_of_dimension(1)])
results[4] = np.sum([g.num_cells for g in gb.grids_of_dimension(0)])
results[5] = outflow_upper
results[6] = outflow_lower
results[7] = mean
file_name = folder + "/info.txt"
with open(file_name, "w") as f:
f.write(", ".join(map(str, results)))
solvers.transport(
gb,
data,
solver_name,
folder,
problem_data.AdvectiveDataAssigner,
callback=report_concentrations,
)
def main(file_geo, folder, solver, solver_name):
tol = 1e-8
gb, domain = problem_data.import_grid(file_geo, tol)
# select the permeability depending on the selected test case
data = {
"domain": domain,
"tol": tol,
"aperture": 1e-2,
"km_low": 1e-6,
"km_high": 1e-5,
"kf": 1e-1,
"porosity_low": 0.2,
"porosity_high": 0.25,
"porosity_f": 0.4,
"time_step": 1e7,
"t_max": 1e9,
}
problem_data.add_data(gb, data, solver_name)
solver(gb, folder)
# to store the results for the current problem
results = np.empty(5, dtype=np.object)
# save basic informations
results[0] = "UiB-" + solver_name.upper()
results[1] = np.sum([g.num_cells for g in gb.grids_of_dimension(3)])
results[2] = np.sum([g.num_cells for g in gb.grids_of_dimension(2)])
results[3] = np.sum([g.num_cells for g in gb.grids_of_dimension(1)])
results[4] = np.sum([g.num_cells for g in gb.grids_of_dimension(0)])
file_name = folder + "/info.txt"
with open(file_name, "w") as f:
f.write(", ".join(map(str, results)))
T, outflow, A, b, block_dof, full_dof = solvers.transport(gb,
data,
solver_name,
folder,
save_every=1)
np.savetxt(folder + "/outflow.csv", outflow)