def setup_subproblems(self, gb, mp, mix, suffix):
kw = {'folder_name': main_folder + suffix}
darcy_problem = DarcySolver(gb, mp, mix, suffix, kw)
assign_data(gb, TransportData, 'transport_data')
transport_problem = TransportSolver(gb, kw)
return darcy_problem, transport_problem
def setup_subproblems(self, gb, mp, mix):
appendix = ''
if mp:
appendix += '_mp'
elif mix:
appendix += '_mix'
kw = {'folder_name': main_folder + appendix}
darcy_problem = DarcySolver(gb, mp, mix, kw)
assign_data(gb, TransportData, 'transport_data')
transport_problem = TransportSolver(gb, kw)
return darcy_problem, transport_problem
tr = np.asarray(tracer)
tempvec = tr[:, ny**2 - 1]
np.savetxt(folder + '/tracer' + appendix + '.csv',
tr[-1, :], delimiter=",")
np.savetxt(folder + '/tvec' + appendix + '.csv',
tempvec, delimiter=",")
if __name__ == '__main__':
ny = [4, 8, 16, 32]
yfactor = [1, 2, 4, 6]
deg = [10, 30, 60]
main_folder = 'results/'
for n in ny:
gb = define_grid(n, n)
assign_data(gb, FlowData, 'problem')
edge_params(gb)
assign_data(gb, TransportData, 'transport_data')
for y in yfactor:
for d in deg:
appendix = '{}cells_{}degrees_{}factor'.format(n, d, y)
kw = {'folder_name': main_folder + appendix}
anisotropy(gb, d, y)
darcy_problem = DarcySolver(gb)
transport_problem = TransportSolver(gb)
Full = BothProblems(darcy_problem, transport_problem)
p, t = Full.solve()
# Full.save()
Full.save_text(t, n, main_folder, appendix)
ax.text2D(1, 0.54, z_label, transform=ax.transAxes, size=sz)
ax.text2D(0.25, 0, '$K_h$', transform=ax.transAxes, size=sz)
ax.text2D(.85, 0.08, '$K_v$', transform=ax.transAxes, size=sz)
# plt.title(t1 + ', ' + title, position=(.5, 1.06), size=sz)
plt.savefig('figures/' + plot_type + title + '.png')
def split_mrst_to_gb(gb, u):
Both.el.flux_disc().split(gb, 'pressure', u)
if __name__ == "__main__":
# Set up grid
nc = 4
gb = define_grid(nc, nc)
assign_data(gb, FlowData, 'problem')
# Copy it for the elimination
gb_el, _ = gb.duplicate_without_dimension(0)
# Initialize model and solver class
problem = EllipticModel(gb)
problem_el = EllipticModel(gb_el)
# Merge for convenience
Both = BothProblems(problem, problem_el)
# Define permeability ranges
horizontal_permeabilities = [10**i for i in range(-3, 4)]
vertical_permeabilities = horizontal_permeabilities.copy()
global_errors_porepy = np.zeros(
(len(horizontal_permeabilities), len(vertical_permeabilities)))
global_errors_mrst = np.zeros(
(len(horizontal_permeabilities), len(vertical_permeabilities)))
