def create_network(self):
''' Execute dfnGen
Parameters
----------
self : object
DFN Class
Returns
-------
None
Notes
-----
After generation is complete, this script checks whether the generation of the fracture network failed or succeeded based on the existance of the file params.txt.
'''
print('--> Running DFNGEN')
# copy input file into job folder
cmd = os.environ[
'DFNGEN_EXE'] + ' ' + self.local_dfnGen_file[:
-4] + '_clean.dat' + ' ' + self.jobname
print("Running %s" % cmd)
subprocess.call(cmd, shell=True)
if os.path.isfile("params.txt") is False:
error = "ERROR! Generation Failed\nExiting Program."
sys.stderr.write(error)
sys.exit(1)
else:
num_poly, h, _, _, _ = parse_params_file(quite=True)
self.num_frac = num_poly
self.h = h
print('-' * 80)
print("Generation Succeeded")
print('-' * 80)
def get_domain():
''' Return dictionary of domain x,y,z by calling parse_params_file
Parameters
----------
None
Returns
-------
domain : dict
Dictionary of domain sizes in x, y, z
Notes
-----
parse_params_file() is in mesh_dfn_helper.py
'''
_, _, _, _, domain = parse_params_file(quite=True)
return domain
def zone2ex(self,
uge_file='',
zone_file='',
face='',
boundary_cell_area=1.e-1):
"""
Convert zone files from LaGriT into ex format for LaGriT
Parameters
-----------
uge_file : string
Name of uge file
zone_file : string
Name of zone file
Face : Face of the plane corresponding to the zone file
zone_file : string
Name of zone file to work on. Can be 'all' processes all directions, top, bottom, left, right, front, back
boundary_cell_area : double
Boundary cells are moved a distance of boundary_cell_area 1e-1
Returns
----------
None
Notes
----------
the boundary_cell_area should be a function of h, the mesh resolution
"""
print('--> Converting zone files to ex')
if self.uge_file:
uge_file = self.uge_file
else:
self.uge_file = uge_file
uge_file = self.uge_file
if uge_file == '':
error = 'ERROR: Please provide uge filename!'
sys.stderr.write(error)
sys.exit(1)
# Opening uge file
print('\n--> Opening uge file')
fuge = open(uge_file, 'r')
# Reading cell ids, cells centers and cell volumes
line = fuge.readline()
line = line.split()
NumCells = int(line[1])
Cell_id = np.zeros(NumCells, 'int')
Cell_coord = np.zeros((NumCells, 3), 'float')
Cell_vol = np.zeros(NumCells, 'float')
for cells in range(NumCells):
line = fuge.readline()
line = line.split()
Cell_id[cells] = int(line.pop(0))
line = [float(id) for id in line]
Cell_vol[cells] = line.pop(3)
Cell_coord[cells] = line
fuge.close()
print('--> Finished with uge file\n')
# loop through zone files
if zone_file is 'all':
zone_files = ['pboundary_front_n.zone', 'pboundary_back_s.zone', 'pboundary_left_w.zone', \
'pboundary_right_e.zone', 'pboundary_top.zone', 'pboundary_bottom.zone']
face_names = ['north', 'south', 'west', 'east', 'top', 'bottom']
else:
if zone_file == '':
error = 'ERROR: Please provide boundary zone filename!'
sys.stderr.write(error)
sys.exit(1)
if face == '':
error = 'ERROR: Please provide face name among: top, bottom, north, south, east, west !'
sys.stderr.write(error)
sys.exit(1)
zone_files = [zone_file]
face_names = [face]
for iface, zone_file in enumerate(zone_files):
face = face_names[iface]
# Ex filename
ex_file = zone_file.strip('zone') + 'ex'
# Opening the input file
print('--> Opening zone file: ', zone_file)
fzone = open(zone_file, 'r')
fzone.readline()
fzone.readline()
fzone.readline()
# Read number of boundary nodes
print('--> Calculating number of nodes')
num_nodes = int(fzone.readline())
Node_array = np.zeros(num_nodes, 'int')
# Read the boundary node ids
print('--> Reading boundary node ids')
if (num_nodes < 10):
g = fzone.readline()
node_array = g.split()
# Convert string to integer array
node_array = [int(id) for id in node_array]
Node_array = np.asarray(node_array)
else:
for i in range(int(num_nodes / 10 + (num_nodes % 10 != 0))):
g = fzone.readline()
node_array = g.split()
# Convert string to integer array
node_array = [int(id) for id in node_array]
if (num_nodes - 10 * i < 10):
for j in range(num_nodes % 10):
Node_array[i * 10 + j] = node_array[j]
else:
for j in range(10):
Node_array[i * 10 + j] = node_array[j]
fzone.close()
print('--> Finished with zone file')
if self.h == "":
from pydfnworks.dfnGen.mesh_dfn_helper import parse_params_file
_, self.h, _, _, _ = parse_params_file(quite=True)
Boundary_cell_area = np.zeros(num_nodes, 'float')
for i in range(num_nodes):
Boundary_cell_area[
i] = boundary_cell_area # Fix the area to a large number
print('--> Finished calculating boundary connections')
boundary_cell_coord = [
Cell_coord[Cell_id[i - 1] - 1] for i in Node_array
]
epsilon = self.h * 10**-3
if (face == 'top'):
boundary_cell_coord = [[cell[0], cell[1], cell[2] + epsilon]
for cell in boundary_cell_coord]
elif (face == 'bottom'):
boundary_cell_coord = [[cell[0], cell[1], cell[2] - epsilon]
for cell in boundary_cell_coord]
elif (face == 'north'):
boundary_cell_coord = [[cell[0], cell[1] + epsilon, cell[2]]
for cell in boundary_cell_coord]
elif (face == 'south'):
boundary_cell_coord = [[cell[0], cell[1] - epsilon, cell[2]]
for cell in boundary_cell_coord]
elif (face == 'east'):
boundary_cell_coord = [[cell[0] + epsilon, cell[1], cell[2]]
for cell in boundary_cell_coord]
elif (face == 'west'):
boundary_cell_coord = [[cell[0] - epsilon, cell[1], cell[2]]
for cell in boundary_cell_coord]
elif (face == 'none'):
boundary_cell_coord = [[cell[0], cell[1], cell[2]]
for cell in boundary_cell_coord]
else:
error = 'ERROR: unknown face. Select one of: top, bottom, east, west, north, south.'
sys.stderr.write(error)
sys.exit(1)
with open(ex_file, 'w') as f:
f.write('CONNECTIONS\t%i\n' % Node_array.size)
for idx, cell in enumerate(boundary_cell_coord):
f.write('%i\t%.6e\t%.6e\t%.6e\t%.6e\n' %
(Node_array[idx], cell[0], cell[1], cell[2],
Boundary_cell_area[idx]))
print('--> Finished writing ex file "' + ex_file +
'" corresponding to the zone file: ' + zone_file + '\n')
print('--> Converting zone files to ex complete')
def map_to_continuum(self, l, orl):
""" This function generates an octree-refined continuum mesh using the
reduced_mesh.inp as input. To generate the reduced_mesh.inp, one must
turn visualization mode on in the DFN input card.
Parameters
----------
self : object
DFN Class
l : float
Size (m) of level-0 mesh element in the continuum mesh
orl : int
Number of total refinement levels in the octree
Returns
-------
None
Notes
-----
octree_dfn.inp : Mesh file
Octree-refined continuum mesh
fracX.inp : Mesh files
Octree-refined continuum meshes, which contain intersection areas
"""
print('=' * 80)
print("Meshing Continuum Using LaGrit : Starting")
print('=' * 80)
if type(orl) is not int or orl < 1:
error = "ERROR: orl must be positive integer. Exiting"
sys.stderr.write(error)
sys.exit(1)
# Read in normal vectors and points from dfnWorks output
normal_vectors = np.genfromtxt('normal_vectors.dat', delimiter=' ')
with open('translations.dat') as old, open('points.dat', 'w') as new:
old.readline()
for line in old:
if not 'R' in line:
new.write(line)
points = np.genfromtxt('points.dat', skip_header=0, delimiter=' ')
num_poly, _, _, _, domain = mh.parse_params_file(quite=True)
# Extent of domain
x0 = 0 - (domain['x'] / 2.0)
x1 = 0 + (domain['x'] / 2.0)
y0 = 0 - (domain['y'] / 2.0)
y1 = 0 + (domain['y'] / 2.0)
z0 = 0 - (domain['z'] / 2.0)
z1 = 0 + (domain['z'] / 2.0)
# Number of cell elements in each direction at coarse level
nx = domain['x'] / l + 1
ny = domain['y'] / l + 1
nz = domain['z'] / l + 1
if nx * ny * nz > 1e8:
error = "ERROR: Number of elements > 1e8. Exiting"
sys.stderr.write(error)
sys.exit(1)
print("\nCreating *.lgi files for octree mesh\n")
try:
os.mkdir('octree')
except OSError:
rmtree('octree')
os.mkdir('octree')
lagrit_driver(nx, ny, nz, num_poly, normal_vectors, points)
lagrit_parameters(orl, x0, x1, y0, y1, z0, z1, nx, ny, nz)
lagrit_build()
lagrit_intersect()
lagrit_hex_to_tet()
lagrit_remove()
lagrit_run()
lagrit_strip(num_poly)
driver_parallel(self, num_poly)
def mesh_network(self,
prune=False,
uniform_mesh=False,
production_mode=True,
refine_factor=1,
slope=2,
visual_mode=None):
''' Mesh fracture network using LaGriT
Parameters
----------
self : object
DFN Class
prune : bool
If prune is False, mesh entire network. If prune is True, mesh only fractures in self.prune_file
uniform_mesh : bool
If true, mesh is uniform resolution. If False, mesh is spatially variable
production_mode : bool
If True, all working files while meshing are cleaned up. If False, then working files will not be deleted
refine_factor : float
Determines distance for mesh refinement (default=1)
slope : float
Slope of piecewise linear function determining rate of coarsening.
visual_mode : None
If the user wants to run in a different meshing mode from what is in params.txt, set visual_mode = True/False on command line to override meshing mode
Returns
-------
None
Notes
------
1. For uniform resolution mesh, set slope = 0
2. All fractures in self.prune_file must intersect at least 1 other fracture
'''
print('=' * 80)
print("Meshing Network Using LaGriT : Starting")
print('=' * 80)
if uniform_mesh:
slope = 0 # Setting slope = 0, results in a uniform mesh
if prune:
if self.prune_file == "":
error = "ERROR!! User requested pruning in meshing but \
did not provide file of fractures to keep.\nExiting program."
sys.stderr.write(error)
sys.exit(1)
mh.create_mesh_links(self.path)
num_poly, h, params_visual_mode, dudded_points, domain = mh.parse_params_file(
)
if visual_mode == None:
visual_mode = params_visual_mode
print("Loading list of fractures to remain in network from %s" %
self.prune_file)
fracture_list = sort(genfromtxt(self.prune_file).astype(int))
print(fracture_list)
lagrit.edit_intersection_files(num_poly, fracture_list, self.path)
num_poly = len(fracture_list)
else:
num_poly, h, params_visual_mode, dudded_points, domain = mh.parse_params_file(
)
if visual_mode == None:
visual_mode = params_visual_mode
fracture_list = range(1, num_poly + 1)
# if number of fractures is greater than number of CPUS,
# only use num_poly CPUs. This change is only made here, so ncpus
# is still used in PFLOTRAN
ncpu = min(self.ncpu, num_poly)
lagrit.create_parameter_mlgi_file(fracture_list, h, slope=slope)
lagrit.create_lagrit_scripts(visual_mode, ncpu)
lagrit.create_user_functions()
failure = run_mesh.mesh_fractures_header(fracture_list, ncpu, visual_mode)
if failure:
mh.cleanup_dir()
error = "One or more fractures failed to mesh properly.\nExiting Program"
sys.stderr.write(error)
sys.exit(1)
n_jobs = lagrit.create_merge_poly_files(ncpu, num_poly, fracture_list, h,
visual_mode, domain,
self.flow_solver)
run_mesh.merge_the_meshes(num_poly, ncpu, n_jobs, visual_mode)
if (not visual_mode and not prune):
if not mh.check_dudded_points(dudded_points):
mh.cleanup_dir()
error = "ERROR!!! Incorrect Number of dudded points.\nExiting Program"
sys.stderr.write(error)
sys.exit(1)
if production_mode:
mh.cleanup_dir()
if not visual_mode:
lagrit.define_zones()
if prune:
mh.clean_up_files_after_prune(self)
mh.output_meshing_report(self.local_jobname, visual_mode)
print("--> Meshing Complete")
def uncorrelated(self, mu, sigma, path='../'):
""" Creates Fracture Based Log-Normal Permeability field with mean mu and variance sigma. Aperture is dervived using the cubic law
Parameters
-----------
mu : double
Mean of LogNormal Permeability field
sigma : double
Variance of permeability field
path : string
path to original network. Can be current directory
Returns
----------
None
Notes
----------
mu is the mean of perm not log(perm)
"""
from pydfnworks.dfnGen.mesh_dfn_helper import parse_params_file
print('--> Creating Uncorrelated Transmissivity Fields')
print('Mean: ', mu)
print('Variance: ', sigma)
print('Running un-correlated')
#note, need to know number of fractures, use parse_params from mesh_helper to get n
# JDH 5/8/2019
n = parse_params_file(quite=True)[0]
perm = np.log(mu) * np.ones(n)
perturbation = np.random.normal(0.0, 1.0, n)
perm = np.exp(perm + np.sqrt(sigma) * perturbation)
aper = np.sqrt((12.0 * perm))
print('\nPerm Stats')
print('\tMean:', np.mean(perm))
print('\tMean:', np.mean(np.log(perm)))
print('\tVariance:', np.var(np.log(perm)))
print('\tMinimum:', min(perm))
print('\tMaximum:', max(perm))
print('\tMinimum:', min(np.log(perm)))
print('\tMaximum:', max(np.log(perm)))
print('\nAperture Stats')
print('\tMean:', np.mean(aper))
print('\tVariance:', np.var(aper))
print('\tMinimum:', min(aper))
print('\tMaximum:', max(aper))
# Write out new aperture.dat and perm.dat files
output_filename = 'aperture_' + str(sigma) + '.dat'
f = open(output_filename, 'w+')
f.write('aperture\n')
for i in range(n):
f.write('-%d 0 0 %0.5e\n' % (i + 7, aper[i]))
f.close()
try:
os.symlink(output_filename, 'aperture.dat')
except:
print("WARNING!!!! Could not make symlink to aperture.dat file")
output_filename = 'perm_' + str(sigma) + '.dat'
f = open(output_filename, 'w+')
f.write('permeability\n')
for i in range(n):
f.write('-%d 0 0 %0.5e %0.5e %0.5e\n' %
(i + 7, perm[i], perm[i], perm[i]))
f.close()
try:
os.symlink(output_filename, 'perm.dat')
except:
print("WARNING!!!! Could not make symlink to perm.dat file")
def upscale(self, mat_perm, mat_por):
""" Generate permeabilities and porosities based on output of map2continuum.
Parameters
----------
self : object
DFN Class
mat_perm : float
Matrix permeability (in m^2)
mat_por: float
Matrix porosity
Returns
-------
perm_fehm.dat : text file
Contains permeability data for FEHM input
rock_fehm.dat : text file
Contains rock properties data for FEHM input
mesh_permeability.h5 : h5 file
Contains permeabilites at each node for PFLOTRAN input
mesh_porosity.h5 : h5 file
Contains porosities at each node for PFLOTRAN input
Notes
-----
None
"""
print('=' * 80)
print("Generating permeability and porosity for octree mesh: Starting")
print('=' * 80)
os.symlink("../params.txt", "params.txt")
num_poly, _, _, _, domain = mh.parse_params_file()
# Bring in all the relevant data
os.symlink("../aperture.dat", "aperture.dat")
os.symlink("../normal_vectors.dat", "normal_vectors.dat")
aperture = np.genfromtxt('aperture.dat', skip_header=1)[:, -1]
normal_vectors = np.genfromtxt('normal_vectors.dat', delimiter=' ')
if self.flow_solver == "FEHM":
with open("perm_fehm.dat", "w") as f:
f.write("perm\n")
with open("rock_fehm.dat", "w") as g:
g.write("rock\n")
# Make dictionary w/ cell IDs (keys) and intersecting fractures, areas (values)
for i in range(1, num_poly + 1):
if i == 1:
with open('frac1.inp', 'r') as f:
line = f.readline().strip().split()
num_nodes = int(float(line[0]))
num_cells = int(float(line[1]))
f_dict = {}
perm_var = np.zeros(num_nodes, 'float')
por_var = np.zeros(num_nodes, 'float')
cv_vol = np.zeros(num_nodes, 'float')
iarray = np.zeros(num_nodes, '=i4')
frac_vol = np.zeros(num_nodes, 'float')
permX = np.zeros(num_nodes, 'float')
permY = np.zeros(num_nodes, 'float')
permZ = np.zeros(num_nodes, 'float')
f.close()
with open('frac{0}.inp'.format(i), 'r') as f:
with open('area_sum{0}.inp'.format(i), 'r') as g:
for j in range(num_nodes):
f.readline()
g.readline()
f.readline()
g.readline()
for j in range(num_cells):
f.readline()
g.readline()
f.readline()
f.readline()
f.readline()
g.readline()
g.readline()
g.readline()
g.readline()
g.readline()
g.readline()
g.readline()
for j in range(num_nodes):
fline = f.readline().strip().split()
gline = g.readline().strip().split()
iarray[j] = int(float(gline[0]))
if int(float(gline[1])) != (num_poly + 1):
f_dict.setdefault(j + 1, []).append(
(i, float(gline[6])))
g.close()
f.close()
with open('full_mesh.uge', 'r') as f:
f.readline()
for j in range(num_nodes):
fline = f.readline().strip().split()
cv_vol[j] = float(fline[4])
f.close()
# Populate permeability and porosity arrays here
for i in range(1, num_nodes + 1):
if i in f_dict:
# Get porosity:
for j in range(len(f_dict[i])):
# Calculate total volume of fractures in cv cell i
frac_vol[i -
1] += aperture[f_dict[i][j][0] - 1] * f_dict[i][j][1]
por_var[i - 1] = frac_vol[i - 1] / cv_vol[i - 1]
if por_var[i - 1] == 0:
por_var[i - 1] = mat_por
if por_var[i - 1] > 1.0:
por_var[i - 1] = 1.0
# Get permeability:
perm_tensor = np.zeros([3, 3])
phi_sum = 0
for j in range(len(f_dict[i])):
phi = (aperture[f_dict[i][j][0] - 1] *
f_dict[i][j][1]) / cv_vol[i - 1]
if phi > 1.0:
phi = 1.0
phi_sum += phi
if phi_sum > 1.0:
phi_sum = 1.0
b = aperture[f_dict[i][j][0] - 1]
# Construct tensor Omega
Omega = np.zeros([3, 3])
n1 = normal_vectors[f_dict[i][j][0] - 1][0]
n2 = normal_vectors[f_dict[i][j][0] - 1][1]
n3 = normal_vectors[f_dict[i][j][0] - 1][2]
Omega[0][0] = (n2)**2 + (n3)**2
Omega[0][1] = -n1 * n2
Omega[0][2] = -n3 * n1
Omega[1][0] = -n1 * n2
Omega[1][1] = (n3)**2 + (n1)**2
Omega[1][2] = -n2 * n3
Omega[2][0] = -n3 * n1
Omega[2][1] = -n2 * n3
Omega[2][2] = (n1)**2 + (n2)**2
perm_tensor += (phi * (b)**2 * Omega)
perm_tensor *= 1. / 12
# Calculate eigenvalues
permX[i - 1] = np.linalg.eigvals(perm_tensor)[0]
permY[i - 1] = np.linalg.eigvals(perm_tensor)[1]
permZ[i - 1] = np.linalg.eigvals(perm_tensor)[2]
# Arithmetic average of matrix perm
permX[i - 1] += (1 - phi_sum) * mat_perm
permY[i - 1] += (1 - phi_sum) * mat_perm
permZ[i - 1] += (1 - phi_sum) * mat_perm
# Correction factor
# Actual value doesn't matter here, just needs to be high
min_n1 = 1e6
min_n2 = 1e6
min_n3 = 1e6
# See Sweeney et al. 2019 Computational Geoscience
for j in range(len(f_dict[i])):
n1_temp = normal_vectors[f_dict[i][j][0] - 1][0]
theta1_t = m.degrees(m.acos(n1_temp)) % 90
if abs(theta1_t - 45) <= min_n1:
theta1 = theta1_t
min_n1 = theta1_t
n2_temp = normal_vectors[f_dict[i][j][0] - 1][1]
theta2_t = m.degrees(m.acos(n2_temp)) % 90
if abs(theta2_t - 45) <= min_n2:
theta2 = theta2_t
min_n2 = theta2_t
n3_temp = normal_vectors[f_dict[i][j][0] - 1][2]
theta3_t = m.degrees(m.acos(n3_temp)) % 90
if abs(theta3_t - 45) <= min_n3:
theta3 = theta3_t
min_n3 = theta3_t
sl = (2 * 2**(1. / 2) - 1) / -45.0
b = 2 * 2**(1. / 2)
cf_x = sl * abs(theta1 - 45) + b
cf_y = sl * abs(theta2 - 45) + b
cf_z = sl * abs(theta3 - 45) + b
permX[i - 1] *= cf_x
permY[i - 1] *= cf_y
permZ[i - 1] *= cf_z
# Correct 0 perm if exists
if permX[i - 1] == 0:
permX[i - 1] += mat_perm
if permY[i - 1] == 0:
permY[i - 1] += mat_perm
if permZ[i - 1] == 0:
permZ[i - 1] += mat_perm
perm_var[i - 1] = max(permX[i - 1], permY[i - 1], permZ[i - 1])
else:
# Assign matrix properties
por_var[i - 1] = mat_por
perm_var[i - 1] = mat_perm
# Note these aren't needed if not using anisotropic perm
permX[i - 1] = mat_perm
permY[i - 1] = mat_perm
permZ[i - 1] = mat_perm
if self.flow_solver == "FEHM":
with open("perm_fehm.dat", "a") as f:
f.write(
str(i) + " " + str(i) + " " + "1" + " " +
str(permX[i - 1]) + " " + str(permY[i - 1]) + " " +
str(permZ[i - 1]) + "\n")
with open("rock_fehm.dat", "a") as g:
g.write(
str(i) + " " + str(i) + " " + "1" + " " + "2757." + " " +
"1180." + " " + str(por_var[i - 1]) + "\n")
# Need an extra space at end for FEHM
if self.flow_solver == "FEHM":
with open("perm_fehm.dat", "a") as f:
f.write("\n")
with open("rock_fehm.dat", "a") as g:
g.write("\n")
if self.flow_solver == "PFLOTRAN":
perm_filename = 'mesh_permeability.h5'
poros_filename = 'mesh_porosity.h5'
h5file = h5py.File(perm_filename, mode='w')
dataset_name = 'Cell Ids'
h5dset = h5file.create_dataset(dataset_name, data=iarray)
dataset_name = 'Permeability'
h5dset = h5file.create_dataset(dataset_name, data=perm_var)
#dataset_name = 'Perm_X'
#h5dset = h5file.create_dataset(dataset_name, data = permX)
#dataset_name = 'Perm_Y'
#h5set = h5file.create_dataset(dataset_name, data = permY)
#dataset_name = 'Perm_Z'
#h5set = h5file.create_dataset(dataset_name, data = permZ)
h5file.close()
h5file = h5py.File(poros_filename, mode='w')
dataset_name = 'Cell Ids'
h5dset = h5file.create_dataset(dataset_name, data=iarray)
dataset_name = 'Porosity'
h5dset = h5file.create_dataset(dataset_name, data=por_var)
h5file.close()
upscale_cleanup()