/[escript]/trunk/downunder/test/python/inversion_gravmag_3d.py
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Contents of /trunk/downunder/test/python/inversion_gravmag_3d.py

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Revision 4433 - (show annotations)
Fri May 31 12:09:58 2013 UTC (6 years, 3 months ago) by gross
File MIME type: text/x-python
File size: 3432 byte(s)
some clarifications on geodetic coordinates. 
order of background magnetic flux density component has been corrected: input is now B_east, B_north, B_vertical.


1
2 ##############################################################################
3 #
4 # Copyright (c) 2003-2013 by University of Queensland
5 # http://www.uq.edu.au
6 #
7 # Primary Business: Queensland, Australia
8 # Licensed under the Open Software License version 3.0
9 # http://www.opensource.org/licenses/osl-3.0.php
10 #
11 # Development until 2012 by Earth Systems Science Computational Center (ESSCC)
12 # Development since 2012 by School of Earth Sciences
13 #
14 ##############################################################################
15
16 """3D magnetic/gravity joint inversion example using synthetic data"""
17
18 __copyright__="""Copyright (c) 2003-2013 by University of Queensland
19 http://www.uq.edu.au
20 Primary Business: Queensland, Australia"""
21 __license__="""Licensed under the Open Software License version 3.0
22 http://www.opensource.org/licenses/osl-3.0.php"""
23 __url__="https://launchpad.net/escript-finley"
24
25 import os
26 from esys.downunder import *
27 from esys.escript import unitsSI as U
28 from esys.weipa import saveSilo
29
30 try:
31 WORKDIR=os.environ['DOWNUNDER_WORKDIR']
32 except KeyError:
33 WORKDIR='.'
34
35 # interesting parameters:
36 depth_offset = 10. * U.km
37 n_humps_h = 3
38 n_humps_v = 1
39 mu_gravity = 10.
40 mu_magnetic = 0.1
41 n_cells_in_data = 30
42 full_knowledge = False
43 B_b = [2201.*U.Nano*U.Tesla, 31232.*U.Nano*U.Tesla, -41405.*U.Nano*U.Tesla]
44 #
45 DIM = 3
46 n_cells_in_data = max(n_humps_h*7, n_cells_in_data)
47 l_data = 100. * U.km
48 l_pad = 40. * U.km
49 THICKNESS = 20. * U.km
50 l_air = 20. * U.km
51 n_cells_v = max(
52 int((2*l_air+THICKNESS+depth_offset)/l_data*n_cells_in_data + 0.5), 25)
53
54
55 grav_data=SyntheticData(DataSource.GRAVITY, n_length=n_humps_h, n_depth=n_humps_v,
56 depth=THICKNESS+depth_offset, depth_offset=depth_offset,
57 DIM=DIM, number_of_elements=n_cells_in_data, length=l_data,
58 data_offset=0, full_knowledge=full_knowledge)
59
60 mag_data=SyntheticData(DataSource.MAGNETIC, n_length=n_humps_h, n_depth=n_humps_v,
61 depth=THICKNESS+depth_offset, depth_offset=depth_offset,
62 DIM=DIM, number_of_elements=n_cells_in_data, length=l_data, B_b=B_b,
63 data_offset=0, full_knowledge=full_knowledge)
64
65 domainbuilder=DomainBuilder(dim=DIM)
66 domainbuilder.addSource(grav_data)
67 domainbuilder.addSource(mag_data)
68 domainbuilder.setVerticalExtents(depth=l_air+THICKNESS+depth_offset,
69 air_layer=l_air, num_cells=n_cells_v)
70 domainbuilder.setPadding(pad_x=l_pad, pad_y=l_pad)
71 domainbuilder.fixDensityBelow(depth=THICKNESS+depth_offset)
72 domainbuilder.fixSusceptibilityBelow(depth=THICKNESS+depth_offset)
73 domainbuilder.setBackgroundMagneticFluxDensity(B_b)
74
75 inv=JointGravityMagneticInversion()
76 inv.setSolverTolerance(1e-4)
77 inv.setSolverMaxIterations(50)
78 inv.setup(domainbuilder)
79
80 inv.getCostFunction().setTradeOffFactorsModels([mu_gravity, mu_magnetic])
81 inv.getCostFunction().setTradeOffFactorsRegularization(mu = [1.,1.], mu_c=1.)
82
83 rho_new, k_new = inv.run()
84 rho_ref = grav_data.getReferenceProperty()
85 k_ref = mag_data.getReferenceProperty()
86 print("rho_new = %s"%rho_new)
87 print("rho = %s"%rho_ref)
88 print("k_new = %s"%k_new)
89 print("k = %s"%k_ref)
90
91 g, chi = inv.getCostFunction().getForwardModel(inv.DENSITY).getSurvey(0)
92 B, chi = inv.getCostFunction().getForwardModel(inv.SUSCEPTIBILITY).getSurvey(0)
93
94 saveSilo(os.path.join(WORKDIR, 'results_joint_3d'),
95 density=rho_new, density_ref=rho_ref,
96 susceptability=k_new, susceptability_ref=k_ref,
97 g_data=g, B_data=B, chi=chi)
98

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