def run_radial_simul(self, my_front_reconstruction, my_front_advancement, my_vertex_or_path, my_param): # setting up the verbosity level of the log at console # setup_logging_to_console(verbosity_level='error') outputfolder = "./Temp_Data/" + my_vertex_or_path + "_radial_" + my_front_advancement + "_" + my_front_reconstruction self.remove(outputfolder) # creating mesh Mesh = CartesianMesh(my_param['Lx'], my_param['Ly'], my_param['Nx'], my_param['Ny']) # solid properties nu = my_param['nu'] # Poisson's ratio youngs_mod = my_param['youngs_mod'] # Young's modulus Eprime = youngs_mod / (1 - nu**2) # plain strain modulus K_Ic = my_param['K_Ic'] # fracture toughness Cl = my_param['Cl'] # Carter's leak off coefficient # material properties Solid = MaterialProperties(Mesh, Eprime, K_Ic, Carters_coef=Cl) # injection parameters Q0 = my_param['Q0'] # injection rate Injection = InjectionProperties(Q0, Mesh) # fluid properties Fluid = FluidProperties(viscosity=my_param['viscosity']) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = my_param[ 'finalTime'] # the time at which the simulation stops simulProp.set_tipAsymptote( my_vertex_or_path ) # tip asymptote is evaluated with the viscosity dominated assumption simulProp.frontAdvancing = my_front_advancement # to set explicit front tracking simulProp.plotFigure = False simulProp.set_solTimeSeries(np.asarray([2, 200, 5000, 30000, 100000])) simulProp.saveTSJump, simulProp.plotTSJump = 5, 5 # save and plot after every five time steps simulProp.set_outputFolder(outputfolder) simulProp.projMethod = my_front_reconstruction simulProp.log2file = False # initialization parameters Fr_geometry = Geometry('radial', radius=my_param['initialR']) init_param = InitializationParameters(Fr_geometry, regime=my_vertex_or_path) # creating fracture object Fr = Fracture(Mesh, init_param, Solid, Fluid, Injection, simulProp) # create a Controller controller = Controller(Fr, Solid, Fluid, Injection, simulProp) # run the simulation exitcode = controller.run() return exitcode, outputfolder
# solid properties nu = 0.4 # Poisson's ratio youngs_mod = 3.3e10 # Young's modulus Eprime = youngs_mod / (1 - nu**2) # plain strain modulus K_Ic = 1e7 # fracture toughness Solid = MaterialProperties(Mesh, Eprime, K_Ic, minimum_width=1e-9) # injection parameters Q0 = 0.001 # injection rate Injection = InjectionProperties(Q0, Mesh) # fluid properties viscosity = 1.1e-3 Fluid = FluidProperties(viscosity=viscosity) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 50 # the time at which the simulation stops simulProp.set_outputFolder("./Data/star") # the address of the output folder simulProp.plotTSJump = 4 # initializing fracture from fracture_initialization import get_radial_survey_cells initRad = np.pi surv_cells, _, inner_cells = get_radial_survey_cells(Mesh, initRad) surv_cells_dist = np.cos(Mesh.CenterCoor[surv_cells, 0]) + 2.5 - abs( Mesh.CenterCoor[surv_cells, 1]) Fr_geometry = Geometry(shape='level set', survey_cells=surv_cells,
Eprime = youngs_mod / (1 - nu**2) # plain strain modulus K1c = 5e5 / (32 / np.pi)**0.5 # K' = 5e5 Cl = 0.5e-6 # Carter's leak off coefficient # material properties Solid = MaterialProperties(Mesh, Eprime, K1c, Carters_coef=Cl) # injection parameters Q0 = 0.01 # injection rate Injection = InjectionProperties(Q0, Mesh) # fluid properties Fluid = FluidProperties(rheology='PLF', n=0.6, k=0.001 / 12) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 1e7 # the time at which the simulation stops simulProp.set_outputFolder("./Data/MtoK_leakoff") # the disk address where the files are saved simulProp.set_simulation_name('PLF_MtoKtilde_n0.6') simulProp.tolFractFront = 0.003 # increase the tolerance for faster run simulProp.projMethod = 'LS_continousfront' # using the continuous front algorithm simulProp.set_tipAsymptote('PLF') # setting the tip asymptote to power-law fluid # initializing the fracture width with the solution provided by Madyarova & Detournay 2004 for power-law fluids. w = np.zeros(Mesh.NumberOfElts) xw = np.genfromtxt('width_n_05.csv', delimiter=',') t = 0.00005 n = Fluid.n
Mesh, source_loc_func=source_location, sink_loc_func=sink_location, sink_vel_func=sink_vel, model_inj_line=True, il_compressibility=1e-9, il_volume=1e-3, perforation_friction=0, initial_pressure=np.nan ) # the initial pressure in injection line is set below # fluid properties Fluid = FluidProperties( viscosity=0.617, rheology='HBF', # set fluid rheology to Herschel-Bulkley compressibility=1e-11, n=0.617, k=0.22, T0=2.3) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 86 # the time at which the simulation stops simulProp.set_outputFolder( "./Data/HB") # the disk address where the files are saved simulProp.set_simulation_name( 'HB_injection_line_sink') # setting simulation name simulProp.saveG = True # enable saving the coefficient G simulProp.plotVar = ['ir', 'w'] # plot width of fracture simulProp.saveEffVisc = True # enable saving of the effective viscosity simulProp.relaxation_factor = 0.3 # relax Anderson iteration
def source_location(x, y): """ This function is used to evaluate if a point is included in source, i.e. the fluid is injected at the given point. """ tolerance = 2. # the condition return abs(x) < 75 and (y >= -75. - tolerance and y <= -75. + tolerance) # injection parameters Q0 = 0.001 # injection rate Injection = InjectionProperties(Q0, Mesh, source_loc_func=source_location) # fluid properties Fluid = FluidProperties(viscosity=1.1e-3, density=1000) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 1.1e4 # the time at which the simulation stops simulProp.set_outputFolder( "./Data/buoyant_line_source") # the disk address where the files are saved simulProp.gravity = True # take the effect of gravity into account simulProp.set_mesh_extension_direction(['top']) simulProp.plotVar = ['w', 'regime'] simulProp.toleranceEHL = 1e-3 # initializing fracture surv_cells, _, inner_cells = get_eliptical_survey_cells(Mesh, 80, 20,
beta = np.arctan((K1c_1 / K1c_2)**2 * np.tan(alpha)) return 4 * (2 / np.pi)**0.5 * K1c_2 * ( np.sin(beta)**2 + (K1c_1 / K1c_2)**4 * np.cos(beta)**2)**0.25 Solid = MaterialProperties(Mesh, Eprime, anisotropic_K1c=True, K1c_func=K1c_func) # injection parameters Q0 = 0.001 # injection rate Injection = InjectionProperties(Q0, Mesh) # fluid properties Fluid = FluidProperties(viscosity=1.1e-5) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 500 # the time at which the simulation stops simulProp.set_volumeControl( True) # to set up the solver in volume control mode (inviscid fluid) simulProp.tolFractFront = 4e-3 # increase tolerance for the anisotropic case simulProp.remeshFactor = 1.5 # the factor by which the mesh will be compressed. simulProp.set_outputFolder( "./Data/ellipse") # the disk address where the files are saved simulProp.set_simulation_name('anisotropic_toughness_benchmark') simulProp.symmetric = True # solving with faster solver that assumes fracture is symmetric # initializing fracture gamma = (K1c_func(np.pi / 2) / K1c_func(0))**2 # gamma = (Kc1/Kc3)**2
j = 3 * np.pi / 20 f = 1 / (1 + np.e**(-2 * 5 * (alpha - j))) return K1c_1 + (K1c_2 - K1c_1) * f Solid = MaterialProperties(Mesh, Eprime, anisotropic_K1c=True, K1c_func=K1c_func) # injection parameters Q0 = 0.01 # injection rate Injection = InjectionProperties(Q0, Mesh) # fluid properties Fluid = FluidProperties(viscosity=1.1e-3) # toughness dominated solution # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 4000 # the time at which the simulation stops simulProp.set_volumeControl( True) # to set up the solver in volume control mode (inviscid fluid) simulProp.tolFractFront = 4e-3 # increase tolerance for the anisotropic case simulProp.set_outputFolder( "./Data/toughness_jump") # the disk address where the files are saved simulProp.set_simulation_name('anisotropic_toughness_jump') simulProp.symmetric = True # set the fracture to symmetric # initializing fracture gamma = (K1c_func(np.pi / 2) / K1c_func(0))**2 # gamma = (Kc1/Kc3)**2 Fr_geometry = Geometry('elliptical', minor_axis=15., gamma=gamma)
density_low) * 9.8 # material properties Solid = MaterialProperties(Mesh, Eprime, toughness=6.5e6, confining_stress_func=sigmaO_func, minimum_width=1e-5) # injection parameters Q0 = np.asarray([[0.0, 500], [2000, 0]]) # injection rate Injection = InjectionProperties(Q0, Mesh) # fluid properties Fluid = FluidProperties(viscosity=30, density=2400) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 560000 # the time at which the simulation stops simulProp.set_outputFolder( "./Data/neutral_buoyancy") # the disk address where the files are saved simulProp.gravity = True # set up the gravity flag simulProp.tolFractFront = 3e-3 # increase the tolerance for fracture # front iteration simulProp.plotTSJump = 4 # plot every fourth time step simulProp.saveTSJump = 2 # save every second time step simulProp.maxSolverItrs = 200 # increase the Anderson iteration limit for the # elastohydrodynamic solver simulProp.tmStpPrefactor = np.asarray([[0, 80000], [0.5, 0.1] ]) # set up the time step prefactor
return 5.e6 # material properties Solid = MaterialProperties(Mesh, Eprime, toughness=K_Ic, confining_stress_func=sigmaO_func, Carters_coef=1e-6) # injection parameters Q0 = np.asarray([[0, 6000], [0.001, 0]]) Injection = InjectionProperties(Q0, Mesh, source_coordinates=[0, -20]) # fluid properties Fluid = FluidProperties(viscosity=1e-3) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 1.6e4 # the time at which the simulation stops simulProp.set_outputFolder( "./Data/fracture_closure") # the disk address where the files are saved simulProp.bckColor = 'confining stress' # setting the parameter for the mesh color coding simulProp.plotTSJump = 4 # set to plot every four time steps simulProp.plotVar = ['w', 'lk', 'footprint' ] # setting the parameters that will be plotted simulProp.tmStpPrefactor = np.asarray( [[0, 6000], [0.8, 0.4]]) # decreasing the time step pre-factor after 6000s simulProp.maxSolverItrs = 120 # increase maximum iterations for the elastohydrodynamic solver # initialization parameters
return (Ly - y) * density_high * 9.8 # material properties Solid = MaterialProperties(Mesh, Eprime, toughness=2.5e6, confining_stress_func=sigmaO_func, minimum_width=1e-5) # injection parameters Q0 = np.asarray([[0.0, 50], [50, 0]]) # injection rate Injection = InjectionProperties(Q0, Mesh, source_coordinates=[0, -1000]) # fluid properties Fluid = FluidProperties(viscosity=50, density=2650) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 56000000000 #simulProp.frontAdvancing = 'implicit' # the time at which the simulation stops simulProp.set_outputFolder( "./Data/neutral_buoyancy") # the disk address where the files are saved simulProp.gravity = True # set up the gravity flag simulProp.tolFractFront = 3e-3 # increase the tolerance for fracture front iteration simulProp.plotTSJump = 5 # plot every fourth time step simulProp.saveTSJump = 2 # save every second time step simulProp.maxSolverItrs = 500 # increase the Picard iteration limit for the elastohydrodynamic solver #simulProp.tmStpPrefactor = np.asarray([[0, 80000], [0.3, 0.1]]) # set up the time step prefactor #simulProp.timeStepLimit = 500 # time step limit simulProp.plotVar = ['w'] # plot fracture width and fracture front velocity
# solid properties Eprime = 10e9 # plain strain modulus Kprime = 3.19e6 K_Ic = Kprime / (4 * np.sqrt(2 / np.pi)) # fracture toughness # material properties Solid = MaterialProperties(Mesh, Eprime, K_Ic) Q0 = 0.005 Injection = InjectionProperties(Q0, Mesh) # fluid properties Fluid = FluidProperties(viscosity=0.75, rheology='HBF', compressibility=0, n=0.6, k=0.75, T0=10.) # simulation properties simulProp = SimulationProperties() simulProp.finalTime = 38000 # the time at which the simulation stops simulProp.set_outputFolder("./Data/HB") # the disk address where the files are saved simulProp.set_simulation_name('HB_Gauss_Chebyshev_comparison') # setting simulation name simulProp.saveG = True # enable saving the coefficient G simulProp.plotVar = ['w', 'G'] # plot width of fracture simulProp.saveEffVisc = True # enable saving of the effective viscosity simulProp.relaxation_factor = 0.3 # relax Anderson iteration simulProp.maxSolverItrs = 200 # set maximum number of Anderson iterations to 200 simulProp.collectPerfData = True # enable collect performance data simulProp.tolFractFront = 3e-3 # increasing fracture front iteration tolerance